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Search Results Page 3 of 5

Job Locations PH-Manila
Posted Date 2 weeks ago(11/16/2022 11:07 AM)
Senior Front-End Engineer    Position Summary:    As a member of our UX team you will be building annotation tools marking up text, audio, images, video and other data types for use in creating machine learning models. You will provide the amazing experiences for the users, fixing bugs as necessary and constantly working on improving the quality of our codebase    Responsibilities: - Build Appen’s client facing tools, including self-serving APIs, dashboards, reports. - Create prototypes, MVP and production software. - Technical input for new and existing product initiatives, assist with definition of product direction - Define, design, troubleshoot, and debug complex, multi-tier distributed software applications. - Work with manager, engineers, product management and operation team to design and implement application features.  - Estimate engineering effort, plan execution cycles, and rollout system changes. - Support product in a production environment on AWS Qualifications:  - Expert knowledge of ReactJs, JavaScript and CSS.  - 5+ years’ experience with React/Redux development. - 3+ years’ experience developing commercial web applications. - 1+ year experience with working with Node.js platform. - Familiarity with monitoring and debugging tools for web applications. - Proficiency with command line and Chrome Developer Tools. - Experience with Git, Docker, Jira, Confluence.  - Experience or interest in learning and using Ruby and Ruby on Rails framework is a plus. - Assertive "get things done" attitude. - Excellent communication skills, both verbal and written in English.   About Appen:   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.    #LI-Hybrid
ID
2022-6514
City
Manila
Job Locations MX-MEX-Mexico City
Posted Date 2 weeks ago(11/16/2022 11:06 AM)
Senior Front-End Engineer    Position Summary:    As a member of our UX team you will be building annotation tools marking up text, audio, images, video and other data types for use in creating machine learning models. You will provide the amazing experiences for the users, fixing bugs as necessary and constantly working on improving the quality of our codebase    Responsibilities: - Build Appen’s client facing tools, including self-serving APIs, dashboards, reports. - Create prototypes, MVP and production software. - Technical input for new and existing product initiatives, assist with definition of product direction - Define, design, troubleshoot, and debug complex, multi-tier distributed software applications. - Work with manager, engineers, product management and operation team to design and implement application features.  - Estimate engineering effort, plan execution cycles, and rollout system changes. - Support product in a production environment on AWS Qualifications:  - Expert knowledge of ReactJs, JavaScript and CSS.  - 5+ years’ experience with React/Redux development. - 3+ years’ experience developing commercial web applications. - 1+ year experience with working with Node.js platform. - Familiarity with monitoring and debugging tools for web applications. - Proficiency with command line and Chrome Developer Tools. - Experience with Git, Docker, Jira, Confluence.  - Experience or interest in learning and using Ruby and Ruby on Rails framework is a plus. - Assertive "get things done" attitude. - Excellent communication skills, both verbal and written in English.   About Appen:   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.    #LI-Hybrid
ID
2022-6513
City
Mexico City
Job Locations UY-Montevideo
Posted Date 2 weeks ago(11/16/2022 11:05 AM)
Senior Front-End Engineer      Position Summary:    As a member of our UX team you will be building annotation tools marking up text, audio, images, video and other data types for use in creating machine learning models. You will provide the amazing experiences for the users, fixing bugs as necessary and constantly working on improving the quality of our codebase    Responsibilities: - Build Appen’s client facing tools, including self-serving APIs, dashboards, reports. - Create prototypes, MVP and production software. - Technical input for new and existing product initiatives, assist with definition of product direction - Define, design, troubleshoot, and debug complex, multi-tier distributed software applications. - Work with manager, engineers, product management and operation team to design and implement application features.  - Estimate engineering effort, plan execution cycles, and rollout system changes. - Support product in a production environment on AWS Qualifications:  - Expert knowledge of ReactJs, JavaScript and CSS.  - 5+ years’ experience with React/Redux development. - 3+ years’ experience developing commercial web applications. - 1+ year experience with working with Node.js platform. - Familiarity with monitoring and debugging tools for web applications. - Proficiency with command line and Chrome Developer Tools. - Experience with Git, Docker, Jira, Confluence.  - Experience or interest in learning and using Ruby and Ruby on Rails framework is a plus. - Assertive "get things done" attitude. - Excellent communication skills, both verbal and written in English.   About Appen:   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.    #LI-Hybrid
ID
2022-6512
City
Montevideo
Job Locations IN-KA-Bangalore
Posted Date 2 weeks ago(11/14/2022 7:30 AM)
SENIOR DATA ENGINEER – ETL      Overview   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.       Responsibilities  - Design, build data models to support structured and unstructured data - Design, build and deploy scalable high-volume data ETL pipelines to move data across systems  - Lead the architecture and implementation of batch and real-time data pipelines with instrumentation - Design, build data transformations, metrics and KPI with data governance and data privacy policies - Build centralized data lake, data warehouse and visualizations that support multiple use cases across different products for engineering and enterprise - Technical lead for new and existing product initiatives, assist with definition of product direction - Work with Product team to deliver features on time - Build data subject matter expertise and own data quality - Design and develop software and data solutions that help product, engineering and business teams make data-driven decisions - Owning existing processes running in production, problem solving and optimization - Partner with data scientists and machine learning engineers to provide quality data for model development and productionizing machine learning models  - Partner with analytics team to build datasets that support visualizations - Conduct design and code reviews to deliver production quality code    Qualifications - BS or MS in Computer Science or related technical discipline (or equivalent). - Excellent understanding of computer science fundamentals, data structures, and algorithms. - Excellent problem-solving skills. - 6+ years’ work experience in software development area with at least 4+ years’ experience in data warehouse space - 4+ years of experience in custom ETL/ELT design, patterns for efficient data integration, change data capture, implementation, and maintenance - 4+ years of experience in query writing (SQL & NoSQL), schema design, normalized data model and dimensional model - 4+ years of experience in API, Git, CI/CD, AWS Cloud, JAVA or Python language - 2+ years of experience in any MPP databases (AWS Redshift, Snowflake, etc) and RDBMS (PostgreSQL, mySQL) - 1+ year experience using Docker, Kubernetes. - Experience processing variety of data sources: Structured, Unstructured, Semi-Structed, SQL, PubSub, API and Event based in cloud-based infrastructure and data services - Experience in Hadoop, Map/Reduce, SQL, Kafka/Storm, Elastic Search, Airflow, and DBT - Excellent communication and collaboration skills in English - Strong coding skills in Java or Python - Proven results-oriented person with a delivery focus in a high velocity, high quality environment.   #LI-Hybrid
ID
2022-6510
City
Bangalore
Job Locations PH-Manila
Posted Date 2 weeks ago(11/14/2022 7:30 AM)
SENIOR DATA ENGINEER – ETL      Overview   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.       Responsibilities  - Design, build data models to support structured and unstructured data - Design, build and deploy scalable high-volume data ETL pipelines to move data across systems  - Lead the architecture and implementation of batch and real-time data pipelines with instrumentation - Design, build data transformations, metrics and KPI with data governance and data privacy policies - Build centralized data lake, data warehouse and visualizations that support multiple use cases across different products for engineering and enterprise - Technical lead for new and existing product initiatives, assist with definition of product direction - Work with Product team to deliver features on time - Build data subject matter expertise and own data quality - Design and develop software and data solutions that help product, engineering and business teams make data-driven decisions - Owning existing processes running in production, problem solving and optimization - Partner with data scientists and machine learning engineers to provide quality data for model development and productionizing machine learning models  - Partner with analytics team to build datasets that support visualizations - Conduct design and code reviews to deliver production quality code    Qualifications - BS or MS in Computer Science or related technical discipline (or equivalent). - Excellent understanding of computer science fundamentals, data structures, and algorithms. - Excellent problem-solving skills. - 6+ years’ work experience in software development area with at least 4+ years’ experience in data warehouse space - 4+ years of experience in custom ETL/ELT design, patterns for efficient data integration, change data capture, implementation, and maintenance - 4+ years of experience in query writing (SQL & NoSQL), schema design, normalized data model and dimensional model - 4+ years of experience in API, Git, CI/CD, AWS Cloud, JAVA or Python language - 2+ years of experience in any MPP databases (AWS Redshift, Snowflake, etc) and RDBMS (PostgreSQL, mySQL) - 1+ year experience using Docker, Kubernetes. - Experience processing variety of data sources: Structured, Unstructured, Semi-Structed, SQL, PubSub, API and Event based in cloud-based infrastructure and data services - Experience in Hadoop, Map/Reduce, SQL, Kafka/Storm, Elastic Search, Airflow, and DBT - Excellent communication and collaboration skills in English - Strong coding skills in Java or Python - Proven results-oriented person with a delivery focus in a high velocity, high quality environment.   #LI-Hybrid
ID
2022-6509
City
Manila
Job Locations MX-MEX-Mexico City
Posted Date 2 weeks ago(11/14/2022 7:27 AM)
SENIOR DATA ENGINEER – ETL      Overview   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.       Responsibilities  - Design, build data models to support structured and unstructured data - Design, build and deploy scalable high-volume data ETL pipelines to move data across systems  - Lead the architecture and implementation of batch and real-time data pipelines with instrumentation - Design, build data transformations, metrics and KPI with data governance and data privacy policies - Build centralized data lake, data warehouse and visualizations that support multiple use cases across different products for engineering and enterprise - Technical lead for new and existing product initiatives, assist with definition of product direction - Work with Product team to deliver features on time - Build data subject matter expertise and own data quality - Design and develop software and data solutions that help product, engineering and business teams make data-driven decisions - Owning existing processes running in production, problem solving and optimization - Partner with data scientists and machine learning engineers to provide quality data for model development and productionizing machine learning models  - Partner with analytics team to build datasets that support visualizations - Conduct design and code reviews to deliver production quality code    Qualifications - BS or MS in Computer Science or related technical discipline (or equivalent). - Excellent understanding of computer science fundamentals, data structures, and algorithms. - Excellent problem-solving skills. - 6+ years’ work experience in software development area with at least 4+ years’ experience in data warehouse space - 4+ years of experience in custom ETL/ELT design, patterns for efficient data integration, change data capture, implementation, and maintenance - 4+ years of experience in query writing (SQL & NoSQL), schema design, normalized data model and dimensional model - 4+ years of experience in API, Git, CI/CD, AWS Cloud, JAVA or Python language - 2+ years of experience in any MPP databases (AWS Redshift, Snowflake, etc) and RDBMS (PostgreSQL, mySQL) - 1+ year experience using Docker, Kubernetes. - Experience processing variety of data sources: Structured, Unstructured, Semi-Structed, SQL, PubSub, API and Event based in cloud-based infrastructure and data services - Experience in Hadoop, Map/Reduce, SQL, Kafka/Storm, Elastic Search, Airflow, and DBT - Excellent communication and collaboration skills in English - Strong coding skills in Java or Python - Proven results-oriented person with a delivery focus in a high velocity, high quality environment.   #LI-Hybrid
ID
2022-6508
City
Mexico City
Job Locations UY-Montevideo
Posted Date 2 weeks ago(11/14/2022 7:24 AM)
SENIOR DATA ENGINEER – ETL      Overview   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.       Responsibilities  - Design, build data models to support structured and unstructured data - Design, build and deploy scalable high-volume data ETL pipelines to move data across systems  - Lead the architecture and implementation of batch and real-time data pipelines with instrumentation - Design, build data transformations, metrics and KPI with data governance and data privacy policies - Build centralized data lake, data warehouse and visualizations that support multiple use cases across different products for engineering and enterprise - Technical lead for new and existing product initiatives, assist with definition of product direction - Work with Product team to deliver features on time - Build data subject matter expertise and own data quality - Design and develop software and data solutions that help product, engineering and business teams make data-driven decisions - Owning existing processes running in production, problem solving and optimization - Partner with data scientists and machine learning engineers to provide quality data for model development and productionizing machine learning models  - Partner with analytics team to build datasets that support visualizations - Conduct design and code reviews to deliver production quality code    Qualifications - BS or MS in Computer Science or related technical discipline (or equivalent). - Excellent understanding of computer science fundamentals, data structures, and algorithms. - Excellent problem-solving skills. - 6+ years’ work experience in software development area with at least 4+ years’ experience in data warehouse space - 4+ years of experience in custom ETL/ELT design, patterns for efficient data integration, change data capture, implementation, and maintenance - 4+ years of experience in query writing (SQL & NoSQL), schema design, normalized data model and dimensional model - 4+ years of experience in API, Git, CI/CD, AWS Cloud, JAVA or Python language - 2+ years of experience in any MPP databases (AWS Redshift, Snowflake, etc) and RDBMS (PostgreSQL, mySQL) - 1+ year experience using Docker, Kubernetes. - Experience processing variety of data sources: Structured, Unstructured, Semi-Structed, SQL, PubSub, API and Event based in cloud-based infrastructure and data services - Experience in Hadoop, Map/Reduce, SQL, Kafka/Storm, Elastic Search, Airflow, and DBT - Excellent communication and collaboration skills in English - Strong coding skills in Java or Python - Proven results-oriented person with a delivery focus in a high velocity, high quality environment. #LI-Hybrid
ID
2022-6507
City
Montevideo
Job Locations IN-KA-Bangalore
Posted Date 2 weeks ago(11/14/2022 7:22 AM)
SENIOR DATA ENGINEER - Python        Overview   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.     Responsibilities  - Build scalable and reliable infrastructure that supports feature engineering, service deployment, and performance monitoring in the cloud and on prem.  - Design solutions for machine learning infrastructure that will support machine learning API services to be able to handle very large volume of audio/image/video data processing at scale - Partner with data scientists to containerize machine learning models into scalable ML API services  - Build data logging, tracking, analyzing, monitoring and reporting pipelines in cloud computing environments - Lead architecture and implementation of batch and real-time data pipelines with instrumentation - Conduct design and code reviews to deliver production quality code Qualifications  - BS or MS in Computer Science or related technical discipline (or equivalent). - Excellent understanding of computer science fundamentals, data structures, and algorithms. - Excellent problem solving skills - 6+ years’ work experience in software development area with at least 4+ years’ experience in backend API service development  - 3+ years of experience in Docker,  API, Git, CI/CD, and AWS Cloud tech stacks - Strong hands-on coding skills and can write and maintain high-quality production code - Proficient in Python. Have deep knowledge of Linux operating system and proficient in Bash - Experience in AWS ECS (or Kubernetes), Kafka, Redis, elastic search, Airflow, and AWS Cloud - Great communication skills, both written and oral; comfortable presenting findings and recommendations to non-technical audiences - Ability to proactively learn new concepts and apply them at work   About Appen:   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.   #LI-Hybrid
ID
2022-6506
City
Bangalore
Job Locations PH-Manila
Posted Date 2 weeks ago(11/14/2022 7:22 AM)
SENIOR DATA ENGINEER - Python        Overview   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.     Responsibilities  - Build scalable and reliable infrastructure that supports feature engineering, service deployment, and performance monitoring in the cloud and on prem.  - Design solutions for machine learning infrastructure that will support machine learning API services to be able to handle very large volume of audio/image/video data processing at scale - Partner with data scientists to containerize machine learning models into scalable ML API services  - Build data logging, tracking, analyzing, monitoring and reporting pipelines in cloud computing environments - Lead architecture and implementation of batch and real-time data pipelines with instrumentation - Conduct design and code reviews to deliver production quality code Qualifications  - BS or MS in Computer Science or related technical discipline (or equivalent). - Excellent understanding of computer science fundamentals, data structures, and algorithms. - Excellent problem solving skills - 6+ years’ work experience in software development area with at least 4+ years’ experience in backend API service development  - 3+ years of experience in Docker,  API, Git, CI/CD, and AWS Cloud tech stacks - Strong hands-on coding skills and can write and maintain high-quality production code - Proficient in Python. Have deep knowledge of Linux operating system and proficient in Bash - Experience in AWS ECS (or Kubernetes), Kafka, Redis, elastic search, Airflow, and AWS Cloud - Great communication skills, both written and oral; comfortable presenting findings and recommendations to non-technical audiences - Ability to proactively learn new concepts and apply them at work   About Appen:   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.   #LI-Hybrid
ID
2022-6505
City
Manila
Job Locations MX-MEX-Mexico City
Posted Date 2 weeks ago(11/14/2022 7:20 AM)
SENIOR DATA ENGINEER - Python        Overview   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.     Responsibilities  - Build scalable and reliable infrastructure that supports feature engineering, service deployment, and performance monitoring in the cloud and on prem.  - Design solutions for machine learning infrastructure that will support machine learning API services to be able to handle very large volume of audio/image/video data processing at scale - Partner with data scientists to containerize machine learning models into scalable ML API services  - Build data logging, tracking, analyzing, monitoring and reporting pipelines in cloud computing environments - Lead architecture and implementation of batch and real-time data pipelines with instrumentation - Conduct design and code reviews to deliver production quality code Qualifications  - BS or MS in Computer Science or related technical discipline (or equivalent). - Excellent understanding of computer science fundamentals, data structures, and algorithms. - Excellent problem solving skills - 6+ years’ work experience in software development area with at least 4+ years’ experience in backend API service development  - 3+ years of experience in Docker,  API, Git, CI/CD, and AWS Cloud tech stacks - Strong hands-on coding skills and can write and maintain high-quality production code - Proficient in Python. Have deep knowledge of Linux operating system and proficient in Bash - Experience in AWS ECS (or Kubernetes), Kafka, Redis, elastic search, Airflow, and AWS Cloud - Great communication skills, both written and oral; comfortable presenting findings and recommendations to non-technical audiences - Ability to proactively learn new concepts and apply them at work   About Appen:   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.   #LI-Hybrid
ID
2022-6504
City
Mexico City
Job Locations UY-Montevideo
Posted Date 2 weeks ago(11/14/2022 7:19 AM)
SENIOR DATA ENGINEER - Python        Overview   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.     Responsibilities  - Build scalable and reliable infrastructure that supports feature engineering, service deployment, and performance monitoring in the cloud and on prem.  - Design solutions for machine learning infrastructure that will support machine learning API services to be able to handle very large volume of audio/image/video data processing at scale - Partner with data scientists to containerize machine learning models into scalable ML API services  - Build data logging, tracking, analyzing, monitoring and reporting pipelines in cloud computing environments - Lead architecture and implementation of batch and real-time data pipelines with instrumentation - Conduct design and code reviews to deliver production quality code Qualifications  - BS or MS in Computer Science or related technical discipline (or equivalent). - Excellent understanding of computer science fundamentals, data structures, and algorithms. - Excellent problem solving skills - 6+ years’ work experience in software development area with at least 4+ years’ experience in backend API service development  - 3+ years of experience in Docker,  API, Git, CI/CD, and AWS Cloud tech stacks - Strong hands-on coding skills and can write and maintain high-quality production code - Proficient in Python. Have deep knowledge of Linux operating system and proficient in Bash - Experience in AWS ECS (or Kubernetes), Kafka, Redis, elastic search, Airflow, and AWS Cloud - Great communication skills, both written and oral; comfortable presenting findings and recommendations to non-technical audiences - Ability to proactively learn new concepts and apply them at work   About Appen:   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.   #LI-Hybrid
ID
2022-6503
City
Montevideo
Job Locations IN-KA-Bangalore
Posted Date 2 weeks ago(11/14/2022 10:17 AM)
Senior Software Engineer (DevOps)      Responsibilities:  - Work closely with Application Developers and contribute to architectural discussions - Work closely with Machine Learning Scientists process automation specifically related to their work - Work with and support internal users in Sales, Sales Engineering, Customer Success, Marketing and Accounting on optimizations, break-fix and planning for the applications they use in support of our customers and contributors - Support of production infrastructure and services, including our - AWS Infrastructure such as EC2, ECS, S3, IAM, Route53, ElastiCache, ELB, CloudWatch etc. - IaC tools: Terraform, CloudFormation - Rails, Python and Java Applications - Docker and Kubernetes - PostgreSQL and Redis databases - Datawarehouse in Redshift with supporting ETL processes - Programming skills in Shell, Python - Provide leadership to the team in mastering technologies, identifying and implementing worthwhile new technologies and improving our process - Continuous delivery (CI/CD) using Jenkins, Groovy Script, Docker, Chef/Ansible, AWS ECS, Kubernetes - Site reliability and availability, including end-to-end performance, service monitoring, alerting, capacity sizing and planning - 24/7 on-call rotation for production support, troubleshooting production and development issues. After-hour emergencies are rare, and you will help us make them even rarer! - Business continuity planning and testing Skills and Experience:  - At least 1-2 years of DevOps and system administration experience, preferably in mid or late startups - Min 1 year in managing AWS or GCP cloud infrastructure - Experience in configuring and supporting SaaS environments, provisioning resources, monitoring utilization and making adjustments in accordance with SOPs - Expertise in Docker; Kubernetes would be an added advantage - Experience monitoring/APM tools such as New Relic, CloudWatch and Rollbar - Linux administration (Ubuntu, Amazon Linux, Centos) and scripting (e.g. shell script, Python) - Human skills (e.g. team player, clear and concise communication, problem solver, sense of humor) Good to have:  - Expertise in database scalability and availability, preferably with PostgreSQL and Redis - Building hybrid cloud - Experience in building IaC - Data protection and secret handling technology such as Vault or AWS Secrets Manager - Logging, Performance Monitoring (e.g. New Relic, DataDog, EFK/ELK)  - Managing micro-services and real-time event processing is a big plus. About Appen   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.    #LI-Hybrid
ID
2022-6502
City
Bangalore
Job Locations PH-Manila
Posted Date 2 weeks ago(11/14/2022 10:16 AM)
Senior Software Engineer (DevOps)      Responsibilities:  - Work closely with Application Developers and contribute to architectural discussions - Work closely with Machine Learning Scientists process automation specifically related to their work - Work with and support internal users in Sales, Sales Engineering, Customer Success, Marketing and Accounting on optimizations, break-fix and planning for the applications they use in support of our customers and contributors - Support of production infrastructure and services, including our - AWS Infrastructure such as EC2, ECS, S3, IAM, Route53, ElastiCache, ELB, CloudWatch etc. - IaC tools: Terraform, CloudFormation - Rails, Python and Java Applications - Docker and Kubernetes - PostgreSQL and Redis databases - Datawarehouse in Redshift with supporting ETL processes - Programming skills in Shell, Python - Provide leadership to the team in mastering technologies, identifying and implementing worthwhile new technologies and improving our process - Continuous delivery (CI/CD) using Jenkins, Groovy Script, Docker, Chef/Ansible, AWS ECS, Kubernetes - Site reliability and availability, including end-to-end performance, service monitoring, alerting, capacity sizing and planning - 24/7 on-call rotation for production support, troubleshooting production and development issues. After-hour emergencies are rare, and you will help us make them even rarer! - Business continuity planning and testing Skills and Experience:  - At least 1-2 years of DevOps and system administration experience, preferably in mid or late startups - Min 1 year in managing AWS or GCP cloud infrastructure - Experience in configuring and supporting SaaS environments, provisioning resources, monitoring utilization and making adjustments in accordance with SOPs - Expertise in Docker; Kubernetes would be an added advantage - Experience monitoring/APM tools such as New Relic, CloudWatch and Rollbar - Linux administration (Ubuntu, Amazon Linux, Centos) and scripting (e.g. shell script, Python) - Human skills (e.g. team player, clear and concise communication, problem solver, sense of humor) Good to have:  - Expertise in database scalability and availability, preferably with PostgreSQL and Redis - Building hybrid cloud - Experience in building IaC - Data protection and secret handling technology such as Vault or AWS Secrets Manager - Logging, Performance Monitoring (e.g. New Relic, DataDog, EFK/ELK)  - Managing micro-services and real-time event processing is a big plus. About Appen   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.    #LI-Hybrid
ID
2022-6501
City
Manila
Job Locations MX-MEX-Mexico City
Posted Date 1 week ago(11/22/2022 10:24 AM)
Senior Software Engineer (DevOps)      Responsibilities:  - Work closely with Application Developers and contribute to architectural discussions - Work closely with Machine Learning Scientists process automation specifically related to their work - Work with and support internal users in Sales, Sales Engineering, Customer Success, Marketing and Accounting on optimizations, break-fix and planning for the applications they use in support of our customers and contributors - Support of production infrastructure and services, including our - AWS Infrastructure such as EC2, ECS, S3, IAM, Route53, ElastiCache, ELB, CloudWatch etc. - IaC tools: Terraform, CloudFormation - Rails, Python and Java Applications - Docker and Kubernetes - PostgreSQL and Redis databases - Datawarehouse in Redshift with supporting ETL processes - Programming skills in Shell, Python - Provide leadership to the team in mastering technologies, identifying and implementing worthwhile new technologies and improving our process - Continuous delivery (CI/CD) using Jenkins, Groovy Script, Docker, Chef/Ansible, AWS ECS, Kubernetes - Site reliability and availability, including end-to-end performance, service monitoring, alerting, capacity sizing and planning - 24/7 on-call rotation for production support, troubleshooting production and development issues. After-hour emergencies are rare, and you will help us make them even rarer! - Business continuity planning and testing Skills and Experience:  - At least 1-2 years of DevOps and system administration experience, preferably in mid or late startups - Min 1 year in managing AWS or GCP cloud infrastructure - Experience in configuring and supporting SaaS environments, provisioning resources, monitoring utilization and making adjustments in accordance with SOPs - Expertise in Docker; Kubernetes would be an added advantage - Experience monitoring/APM tools such as New Relic, CloudWatch and Rollbar - Linux administration (Ubuntu, Amazon Linux, Centos) and scripting (e.g. shell script, Python) - Human skills (e.g. team player, clear and concise communication, problem solver, sense of humor) Good to have:  - Expertise in database scalability and availability, preferably with PostgreSQL and Redis - Building hybrid cloud - Experience in building IaC - Data protection and secret handling technology such as Vault or AWS Secrets Manager - Logging, Performance Monitoring (e.g. New Relic, DataDog, EFK/ELK)  - Managing micro-services and real-time event processing is a big plus. About Appen   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.    #LI-Hybrid
ID
2022-6500
City
Mexico City
Job Locations UY-Montevideo
Posted Date 2 weeks ago(11/14/2022 7:14 AM)
Senior Software Engineer (DevOps)      Responsibilities:  - Work closely with Application Developers and contribute to architectural discussions - Work closely with Machine Learning Scientists process automation specifically related to their work - Work with and support internal users in Sales, Sales Engineering, Customer Success, Marketing and Accounting on optimizations, break-fix and planning for the applications they use in support of our customers and contributors - Support of production infrastructure and services, including our - AWS Infrastructure such as EC2, ECS, S3, IAM, Route53, ElastiCache, ELB, CloudWatch etc. - IaC tools: Terraform, CloudFormation - Rails, Python and Java Applications - Docker and Kubernetes - PostgreSQL and Redis databases - Datawarehouse in Redshift with supporting ETL processes - Programming skills in Shell, Python - Provide leadership to the team in mastering technologies, identifying and implementing worthwhile new technologies and improving our process - Continuous delivery (CI/CD) using Jenkins, Groovy Script, Docker, Chef/Ansible, AWS ECS, Kubernetes - Site reliability and availability, including end-to-end performance, service monitoring, alerting, capacity sizing and planning - 24/7 on-call rotation for production support, troubleshooting production and development issues. After-hour emergencies are rare, and you will help us make them even rarer! - Business continuity planning and testing Skills and Experience:  - At least 1-2 years of DevOps and system administration experience, preferably in mid or late startups - Min 1 year in managing AWS or GCP cloud infrastructure - Experience in configuring and supporting SaaS environments, provisioning resources, monitoring utilization and making adjustments in accordance with SOPs - Expertise in Docker; Kubernetes would be an added advantage - Experience monitoring/APM tools such as New Relic, CloudWatch and Rollbar - Linux administration (Ubuntu, Amazon Linux, Centos) and scripting (e.g. shell script, Python) - Human skills (e.g. team player, clear and concise communication, problem solver, sense of humor) Good to have:  - Expertise in database scalability and availability, preferably with PostgreSQL and Redis - Building hybrid cloud - Experience in building IaC - Data protection and secret handling technology such as Vault or AWS Secrets Manager - Logging, Performance Monitoring (e.g. New Relic, DataDog, EFK/ELK)  - Managing micro-services and real-time event processing is a big plus. About Appen   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.    #LI-Hybrid
ID
2022-6499
City
Montevideo
Job Locations IN-KA-Bangalore
Posted Date 2 weeks ago(11/14/2022 7:12 AM)
Sr QA Engineer       About the Role   We are looking for a white box performance QA Engineer who has strong hands-on experience in extending and optimizing existing frameworks for stress & performance, service/integration testing on a complex Web Application. You will be working with the backend development engineering team and DevOps team to develop code and provide insight into the performance, scalability customer usage and failure analysis, generate test data, and simulations. You will be navigating the codebase/API, identifying weak spots and constantly designing better and creative ways to break software and identify potential problems. Some organizations refer to this as a Software Development Engineer in Test (SDET) or QA Automation Engineer.   Primary Responsibilities - Work closely with DevOps team to support multiple test environments - Work closely with architects, developers and QA Engineers to design, build, extend and execute Performance tests - Generate and analyze test results to improve scalability of the product - Understand the flow of code and how it interacts with different components - Reproduce, debug and find root cause of existing performance product issues - Identify weak spots and potential problems - Constantly design better and creative ways to break software - Continuously improve the existing automation, speed, quality, and automate repeated tasks - Work with QA team and other engineers to create testing tools and debug automation failures Skills & Experience - 3-5 years of hands-on experience in designing and building various API testing frameworks and/or End-to-End automation frameworks using Python - Expertise using tools to build and optimize frameworks, such as Lucas, Grafana and PyTest - 1-2 years of experience with AWS, Jenkins, Docker, Kubernetes, SDLC, CICD pipeline - 1-2 years of experience with relational database technologies such as PostgreSQL - 2-3 years of experience working with service-oriented architectures - 1-2 years of experience working with Kafka - Knowledge of test methodologies and working experience writing excellent test plans and test reports - Proactive, have passion in testing, love challenges, quick learner, detail oriented, analytical, problem solver with “get the work done” attitude - Minimum BS degree in Computer Science or a related technical field   About Appen    Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.    #LI-Hybrid
ID
2022-6498
City
Bangalore
Job Locations PH-Manila
Posted Date 2 weeks ago(11/14/2022 7:12 AM)
Sr QA Engineer       About the Role   We are looking for a white box performance QA Engineer who has strong hands-on experience in extending and optimizing existing frameworks for stress & performance, service/integration testing on a complex Web Application. You will be working with the backend development engineering team and DevOps team to develop code and provide insight into the performance, scalability customer usage and failure analysis, generate test data, and simulations. You will be navigating the codebase/API, identifying weak spots and constantly designing better and creative ways to break software and identify potential problems. Some organizations refer to this as a Software Development Engineer in Test (SDET) or QA Automation Engineer.   Primary Responsibilities - Work closely with DevOps team to support multiple test environments - Work closely with architects, developers and QA Engineers to design, build, extend and execute Performance tests - Generate and analyze test results to improve scalability of the product - Understand the flow of code and how it interacts with different components - Reproduce, debug and find root cause of existing performance product issues - Identify weak spots and potential problems - Constantly design better and creative ways to break software - Continuously improve the existing automation, speed, quality, and automate repeated tasks - Work with QA team and other engineers to create testing tools and debug automation failures Skills & Experience - 3-5 years of hands-on experience in designing and building various API testing frameworks and/or End-to-End automation frameworks using Python - Expertise using tools to build and optimize frameworks, such as Lucas, Grafana and PyTest - 1-2 years of experience with AWS, Jenkins, Docker, Kubernetes, SDLC, CICD pipeline - 1-2 years of experience with relational database technologies such as PostgreSQL - 2-3 years of experience working with service-oriented architectures - 1-2 years of experience working with Kafka - Knowledge of test methodologies and working experience writing excellent test plans and test reports - Proactive, have passion in testing, love challenges, quick learner, detail oriented, analytical, problem solver with “get the work done” attitude - Minimum BS degree in Computer Science or a related technical field   About Appen    Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.    #LI-Hybrid
ID
2022-6497
City
Manila
Job Locations MX-MEX-Mexico City
Posted Date 2 weeks ago(11/14/2022 7:11 AM)
Sr QA Engineer       About the Role   We are looking for a white box performance QA Engineer who has strong hands-on experience in extending and optimizing existing frameworks for stress & performance, service/integration testing on a complex Web Application. You will be working with the backend development engineering team and DevOps team to develop code and provide insight into the performance, scalability customer usage and failure analysis, generate test data, and simulations. You will be navigating the codebase/API, identifying weak spots and constantly designing better and creative ways to break software and identify potential problems. Some organizations refer to this as a Software Development Engineer in Test (SDET) or QA Automation Engineer.   Primary Responsibilities - Work closely with DevOps team to support multiple test environments - Work closely with architects, developers and QA Engineers to design, build, extend and execute Performance tests - Generate and analyze test results to improve scalability of the product - Understand the flow of code and how it interacts with different components - Reproduce, debug and find root cause of existing performance product issues - Identify weak spots and potential problems - Constantly design better and creative ways to break software - Continuously improve the existing automation, speed, quality, and automate repeated tasks - Work with QA team and other engineers to create testing tools and debug automation failures Skills & Experience - 3-5 years of hands-on experience in designing and building various API testing frameworks and/or End-to-End automation frameworks using Python - Expertise using tools to build and optimize frameworks, such as Lucas, Grafana and PyTest - 1-2 years of experience with AWS, Jenkins, Docker, Kubernetes, SDLC, CICD pipeline - 1-2 years of experience with relational database technologies such as PostgreSQL - 2-3 years of experience working with service-oriented architectures - 1-2 years of experience working with Kafka - Knowledge of test methodologies and working experience writing excellent test plans and test reports - Proactive, have passion in testing, love challenges, quick learner, detail oriented, analytical, problem solver with “get the work done” attitude - Minimum BS degree in Computer Science or a related technical field   About Appen    Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.    #LI-Hybrid
ID
2022-6496
City
Mexico City
Job Locations UY-Montevideo
Posted Date 2 weeks ago(11/14/2022 7:11 AM)
Sr QA Engineer       About the Role   We are looking for a white box performance QA Engineer who has strong hands-on experience in extending and optimizing existing frameworks for stress & performance, service/integration testing on a complex Web Application. You will be working with the backend development engineering team and DevOps team to develop code and provide insight into the performance, scalability customer usage and failure analysis, generate test data, and simulations. You will be navigating the codebase/API, identifying weak spots and constantly designing better and creative ways to break software and identify potential problems. Some organizations refer to this as a Software Development Engineer in Test (SDET) or QA Automation Engineer.   Primary Responsibilities - Work closely with DevOps team to support multiple test environments - Work closely with architects, developers and QA Engineers to design, build, extend and execute Performance tests - Generate and analyze test results to improve scalability of the product - Understand the flow of code and how it interacts with different components - Reproduce, debug and find root cause of existing performance product issues - Identify weak spots and potential problems - Constantly design better and creative ways to break software - Continuously improve the existing automation, speed, quality, and automate repeated tasks - Work with QA team and other engineers to create testing tools and debug automation failures Skills & Experience - 3-5 years of hands-on experience in designing and building various API testing frameworks and/or End-to-End automation frameworks using Python - Expertise using tools to build and optimize frameworks, such as Lucas, Grafana and PyTest - 1-2 years of experience with AWS, Jenkins, Docker, Kubernetes, SDLC, CICD pipeline - 1-2 years of experience with relational database technologies such as PostgreSQL - 2-3 years of experience working with service-oriented architectures - 1-2 years of experience working with Kafka - Knowledge of test methodologies and working experience writing excellent test plans and test reports - Proactive, have passion in testing, love challenges, quick learner, detail oriented, analytical, problem solver with “get the work done” attitude - Minimum BS degree in Computer Science or a related technical field   About Appen    Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.    #LI-Hybrid
ID
2022-6495
City
Montevideo
Job Locations PH-Cavite
Posted Date 3 weeks ago(11/11/2022 11:44 AM)
Training Platform Administrator (REMOTE) Location: Cavite, Philippines      Position Summary If you have an aptitude for software systems, experience with administration permissions, and love variety and challenge in a supportive environment – this is a great opportunity for you.   The Training Platform Administrator is a full time key support role to the corporate Learning, Development, and Inclusion team. The role is internal customer facing for the full global organization, and performs software platform administration tasks for Criteria assessments, Appen U and 15Five. These are high impact capabilities in the People/HR organization touching every employee at Appen. Many aspects of the role will be repetitive and predictable. Over time the scope may grow to include administration of 360-degree feedback assessments.  The LDI team is a highly supportive and collaborative team, and there are opportunities to learn and grow.     Responsibilities - Become the internal expert on the Criteria platform which supports personal and leadership development. - Assign and send assessment links, create team reports for managers, and other tasks related to the overall administration of the Criteria assessment platform. Assessments include Personality/Workstyle, Emotify (emotional intelligence), and future Illustrait (competency-based) assessments.  - Become the internal expert on the 15Five platform administration, providing user support as needed. - Provide basic support for coverage when needed for AppenU platform (360Learning). - Create or update training links in Salesforce. - Troubleshoot and work with vendors when needed.       Required Knowledge, Skills, and Abilities - Ability to learn platforms quickly with proper onboarding by vendors - Strong customer focus, delighting in meeting and exceeding expectations. - Strong communication skills, including customer support with unique responses vs. scripts - Curiosity to learn and find answers to new questions and figure out the root cause of a user’s challenge - Ability to raise issues and provide recommendations with risks/trade-offs - Ability to monitor information and identify trends (as experience grows) - Ability to collaboratively define processes and process improvements - Advanced Excel skills - Proficient in English. Excellent oral and written communication skills - Motivated self-starter who can establish a course of action for self-initiatives to completion - Flexible, independent, self-motivated; able to deal calmly and professionally with ambiguous data in an environment of constant change   Qualifications and Experience - 2+ years' expereince in one of the following - Technical Support, Project Manager or Operations - Prior customer support experience required - Passion and initiative to troubleshoot and problem solve - Documentation of platform procedures when needed - Ability to flex scheduled hours when needed to engage with team members in the US.   Preferred but not necessary - Prior platform administration experience - Prior administration permission with a company software platform - Experience/knowledge of Workday and/or Salesforce - Experience communicating with software vendors a plus    About Appen   Appen is the global leader in data for the AI Lifecycle. With over 25 years of experience in data sourcing, data annotation, and model evaluation by humans, we enable organizations to launch the world’s most innovative artificial intelligence systems. Our expertise includes a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries, and the industry’s most advanced AI-assisted data annotation platform. Our products and services give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to launch world-class AI products. Founded in 1996, Appen has customers and offices globally.    At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions and believe in giving and receiving direct feedback. We give credit where credit is due and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value of teamwork and collaboration. Through grit, we take ownership, and we do not give up.   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.   Growth Strategy   High-quality training data necessarily includes human beings, to record and transcribe speech for example or recognize complex images. Appen uses a crowdsourced model to engage humans at scale, but this increases the cost, time, and complexity of providing data sets. The company relies on technology to accelerate and reduce the cost of training data. It has developed and acquired platform that manages and enables crowd workers.   Appen’s Growth Strategy is Built on Four Pillars - Grow in New Markets: Drive growth in target customer segments China, Government, Enterprise, and Global Product - Automate our annotation services: Leverage AI and ML in our labelling operations to improve the productivity and quality of our workforce - Expand our product offering: Add new products and capabilities to expand into the broader data and AI market - Evolve how we do business: Improve the scalability of our operations including sales, project delivery, and crowd management   #LI-Remote
ID
2022-6494
City
Cavite