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Search Results Page 7 of 7

Job Locations US-CA-San Francisco | US-CA-Sunnyvale
Posted Date 7 days ago(5/19/2022 3:42 PM)
QA Tester -Junior  About the Role The ideal candidate has a deep knowledge of test methodologies. You must be comfortable creating excellent test cases, execute test cases. It is important that you are able to dive into the deep technical aspect of the product.  You will be responsible for finding, reporting, and reproducing bugs and glitches. Closely working with the development teams and product teams. You have the hands-on ability to automate repeated tasks, can run and debug the automation failures. If you are competent in finding defects in applications, extremely detailed, love testing and are passionate about quality, we would like to meet you.    Responsibilities: - Proactively creating, updating, and maintaining test plans / test cases with minimum or no PRD. - Proactively executing various tests on new software products to ensure that programs satisfy all specifications and requirements. - Work closely with cross-functional teams to find defects, report bugs, and debugging during each sprint cycle to ensure that our products work correctly. - Communicate the defects to cross-functional teams. - Identify automatable features and create automation scripts for repeated tasks in your feature domains, debug and maintain the automation failures on a regular basis. - Working with cross-functional teams, frequent communication will be required. - Triage and reproduce customer reported issues. - Support and maintain our product in testing environments on AWS is a plus. - Kafka & Kubernetes testing experience is a plus - Perform end-end stress/load tests to identify the potential issues is a plus. - Have code deployment experience is a plus.    Skills & Qualification: - Hands on at least hand-on 3-5 years of experience as a QA engineer or in Engineering testing role. - Needs to work with Automation eng, Run the automated + Manual test, de bug. Talk about product -create test plans. - Working knowledge of creating and executing excellent test cases UAT, functional testing, regression tests. Document test cases into test case management system. - Working experience with Python, Selenium WebDriver, JS, SQL, HTML/CSS, Jenkins, Postman, New Relic and AWS. - Self-motivated individuals with competent to proactively find defects during each sprint cycle - Extremely detailed oriented with great problem-solving skills. Technical enough to find the root cause of the defect. - An ability to work in a scrum-based agile and nimble environment. - Always has mind set to look for bugs, love to look for a way to break the system. - Fast learner for complicated web application. - Good communication skills - Knowledge of Ruby on Rails is a plus - BS degree in Computer Science or a related technical field #li-remote
ID
2021-5579
City
San Francisco
Job Locations PH-Cavite
Posted Date 7 months ago(10/11/2021 2:38 AM)
We are currently seeking for a Taiwanese Mandarin speaking Transcribers who can accurately transcribe short audios (utterances) of Taiwan Mandarin in accordance with the project’s set guidelines.   Project Requirements & Qualifications: - Bilingual native or near native speaker of Taiwan Mandarin. - Available for full time work at Cavite office. - Able to type at least 30 words per minute or more. - Detail oriented and comfortable with online research pages to verify information contained within the audio. - Preferably with previous transcription experience (highly advantageous but not compulsory) If this resonates with you, or if you feel like you would excel in the role, apply now! -   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.   About Appen Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy 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 in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.
ID
2021-5559
City
Cavite
Job Locations US-Remote | US-CA-San Francisco
Posted Date 7 days ago(5/19/2022 3:26 PM)
Senior Data Scientist  Overview Artificial Intelligence is transforming the world in almost every industry. Everyone knows only good training data can produce the best machine learning solutions. However, creating training data with high quality in a scalable way is incredibly challenging, and very few companies can do it. The whole AI world is starving for great training data. Appen is the market lead in training data generation field for more than 22 years. It generates all kinds of training data like content relevance, image & video, text & audio, as well as data capturing.   Appen Tech team is solving the AI data problem by combining the power of humans and technology. This world-class and exciting engineering position awaits a qualified candidate who will join Appen’s data science team.   We are seeking a senior data scientist with hands-on expertise in the recommendation and search ranking area. You will build crowd CRM systems to mine, engage, match, and recommend good crowd workers with most suitable data labelling jobs. You get the opportunity to work with our global tech team. It is a leading data company with a start-up culture. And we only want people who want to make a huge impact on the AI world instead of just a job!     Job Description  Your Impact - Analyze and discover gaps in Appen’s crowd experience, formulate and own data driven and ML based solutions for crowd recruitment automation – including engagement/retention, search and recommendation, content ranking, registration and qualification process drive growth and increase conversion rate on Appen’s data labeling projects - Drive the alignment and product ownership on key areas with a broad range of stakeholders, such as Product, Engineers, Data Scientist, Operations to achieve shared objectives, provide strategic insight and solution. - Experience with end-to-end ownership of projects including development, deployment, and maintenance of code in production environment, A/B test, and build dashboards and reports to communicate the business impact of data-driven solutions - Serve as subject matter expert and drive thought leadership in the areas of machine learning, recommendation, relevance ranking, and information retrieval areas. - Serve as a mentor and resource to other data scientists and coaching their career growth   Qualifications - 3+ years of industrial experience in recommendation systems, relevance ranking, information retrieval areas, or related field. - Advanced degree in computer science, engineering, statistics, economics, mathematics, or similar quantitative discipline - Have extensive industry experience in the recommendation and search domain with the ability to validate ideas before implementation.  - Excellent programming skills, able to write clean and maintainable code and unit tests (SQL, Python, or other programming languages) in production environment. - Advanced knowledge in experimental design and statistics methods - Advanced knowledge on modern machine learning techniques and their mathematical underpinnings, such as recommendation engines and propensity models - Experience with ETL pipelines and querying large datasets such as clickstream data - Have good track records of architecting and developing recommendation systems and search engine solutions in large scale industry setup. - Ability to work cross-functionally and push partners to connect customer problems to business strategy. - Proactive, self-motivated, and can work independently with strong organizational and time management skills - Desire to continually learn, adapt and work in a fun, fast paced environment.   Strong preference for the San Francisco Bay Area but will consider remote for a strong candidate.     About Appen Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence. Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image and video. With deep expertise in more than 180 languages and access to a global crowd of over 1 million skilled contractors, Appen partners with technology, automotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.   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 in teamwork and collaboration. Through grit, we take ownership, and we don’t 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. #li-remote
ID
2021-5555
City
Remote
Job Locations US-Remote | US-CA-Sunnyvale | US-CA-San Francisco
Posted Date 7 days ago(5/19/2022 3:27 PM)
Senior Software Engineer     Appen provides data management for each stage of the data for the AI lifecycle. Trusted by global leaders to power their mission-critical AI for over 25 years with a global crowd of over 1 million skilled contractors who speak over 235 languages, in over 70,000 locations and 170 countries.    - We need a smart, innovative senior Java developer to help us build scalable, resilient and responsive systems      Location - - This role will be remote until we return to the office after Covid protocols    - Responsibilities - Set standards for architecture, tools evaluation and selection for our microservices. - Design and implement the API orchestration layer for our web clients - Be obsessive about security, quality and performance. - Promote best practices for writing maintainable and well­-tested code. - Work closely with members of other development teams to ensure seamless integration with front end and backend services. - Schedule product releases with internal teams. - Participate in innovating existing tools, services, and technologies used at Appen   - Required Knowledge, Skills and Abilities - Expert knowledge of Java, Spring Boot and JPA/Hibernate development platform - Experience with microservices and building restful APIs (swagger/express) - Hands-on experience developing software with agile methodologies - Work experience on designing database architecture and SQL. - Experience with one or more of AWS Services, Redis, Maven, Docker, Jira, Git and Confluence. - Familiarity with monitoring and debugging tools for web applications - Assertive “go-better” attitude to get work done with little supervision. - Familiarity with modern Front-End frameworks and tools (React, Redux, webpack). - We at Appen look for individuals who embody our core values: performance, honesty, humility, and grit. At Appen, we embrace and strive purposefully with our core values in mind throughout every aspect of our work and expect our employees to meet and exceed these standards. If this resonates with your work ethic and style, we encourage you to apply for this Appen position.   - Qualifications and Experience - 5+ years experience developing commercial web application. - Minimum of 3 years hands on experience with Microservices and restful webservices.     About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy 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 in teamwork and collaboration. Through grit, we take ownership, and we don’t 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.   #LI-Remote
ID
2021-5503
City
Remote
Job Locations US-Remote
Posted Date 2 years ago(10/6/2020 5:24 PM)
Become a specialist on natural language understanding (NLU) and help build state-of-the-art AI systems!     Project Summary Your task is to work with Appen’s client to produce high quality natural language data and manage a team of annotators. You will help manage annotation workflows and manage all associated tasks as a member of a multi-language NLU team. Your inputs will be used to develop better natural language understanding systems for Italian.   This is an AI Specialist project. Our team’s mission is to deliver the best data solutions and expertise to developers of AI for communication, driven by our passion for innovation and our love of languages.     Responsibilities - Localize guidelines - Manage workflows - Receive, set up, distribute and deliver data sets - Set up FAQ and Q&A documents - Field annotator questions and monitor chats - Monitor and improve annotation quality - Report task related metrics - Work closely with the NLU team and project manager   Required Knowledge, Skills and Abilities - Bachelor’s degree in Linguistics, Computational Linguistics, Language Technologies, Computer Sciences, or related field - Interest in practical as well as theoretical linguistics, especially syntax, semantics, and pragmatics - Facility with computers and software applications. - Ability to adapt to changing requirements, priorities, and revisions - Cooperative, solution-oriented attitude - Eagerness to learn new skills and work quickly - Analytic mindset with strong attention to detail - Ability to review examples and apply rules to data - Native speaker of Italian, professional English skill level Qualifications and Experience - Advanced degree and/or industry experience - Experience working remotely - NLU annotation experience 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.   About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy 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 in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.   #li-remote    
ID
2020-5133
City
Remote
Job Locations US-Remote
Posted Date 2 years ago(9/29/2020 4:55 PM)
  Process language data to help build state of the art text-to speech AI models!     Project Summary   Appen is looking for a phonetician or linguist to help process language data for text-to-speech and speech recognition techonlogies.  The ideal candidate has experience with phonemic transciption and speech data evaluation and must be a native speaker of US English.   This is an AI Specialist project. Our team’s mission is to deliver the best data solutions and expertise to developers of AI for communication, driven by our passion for innovation and our love of languages.     Estimated Project Duration: 6 months, full-time     Responsibilities - Review and produce highly accurate word spelling and phonemic transcriptions - Develop and/or improve transcription guidelines - Evaluate speech data for dialectal variation - Handle data transfers between internal and external tools and curate audio, text, and spectrograms for text-to-speech recording sessions.   Required Knowledge, Skills and Abilities - A Degree in Linguistics, Speech Science or related field - Experience/interest in linguistics, especially phonology, phonetics, dialectology - Native speaker of US English - Experience/proficiency with transcription systems (such as SAMPA, IPA) - Praat and/or equivalent familiarity with spectrograms - Collaborative and solution oriented attitude - Ability to quickly learn new skills and adapt to a changing environment - Ability to focus on a single task for multiple hours - Strong attention to detail - Communicates clearly verbally and via email   Qualifications and Experience - Advanced degree and/or industry experience - Fluency in two or more natural languages - Location in the San Francisco Bay Area is a bonus     Application Process   Candidates will be screened for eligibility and asked to submit a linguistic screener. Successful candidates will be interviewed.   If this resonates with you, or if you feel like you would excel in the role, apply now!   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.   About Appen Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy 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 in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.   #li-remote    
ID
2020-5115
City
Remote
Job Locations US-CA-San Francisco
Posted Date 2 years ago(8/27/2020 12:58 AM)
Position Summary Become a specialist on natural language generation and help build state-of-the-art AI systems. Your inputs will be used to develop better natural language understanding systems for British English and Spanish-US.   Duration: 6 months fixed-term employee, part-time Payment: This is a salaried position, compensation to be determined based on skills and past experience.   Successful candidates must be able to work at client sites in the San Francisco Bay Area once COVID-19 restrictions are lifted. We are looking for native speakers of the languages listed below: - English (United Kingdom)  - Spanish (United States)   Responsibilities - Work with Appen's client to produce high quality natural language and mark it up with annotations that provide information about the semantics/meaning of natural language text - Use categories such as domains, intents, and slots to mark words and phrases in text utterances - Manage and track changes in the scenario database - Review and update annotation guidelines and guard data quality Required Knowledge, Skills and Abilities - Bachelor’s degree in Linguistics, Computational Linguistics, Language Technologies, Computer Sciences, or related field - Interest in practical as well as theoretical linguistics, especially syntax, semantics, and pragmatics - Facility with computers and software applications. - Familiarity with basic Python, SQL and script writing - Ability to adapt to changing requirements, priorities, and revisions - Cooperative, solution-oriented attitude - Eagerness to learn new skills and work quickly - Analytic mindset with strong attention to detail - Ability to review examples and apply rules to data - Native-level proficiency in the target language  Qualifications and Experience - Advanced degree and/or industry experience - Experience working remotely - NLG annotation experience If this resonates with you, or if you feel like you would excel in the role, apply now!   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.   About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy 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 in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.    
ID
2020-5096
City
San Francisco
Job Locations US-CA-San Francisco
Posted Date 2 years ago(8/27/2020 12:58 AM)
Position Summary Become a specialist on natural language generation and help build state-of-the-art AI systems. Your inputs will be used to develop better natural language understanding systems for Spanish-US.   Duration: 6 months fixed-term employee, part-time Payment: This is a salaried position, compensation to be determined based on skills and past experience.   Successful candidates must be able to work at client sites in the San Francisco Bay Area once COVID-19 restrictions are lifted.   Responsibilities - Work with Appen's client to produce high quality natural language and mark it up with annotations that provide information about the semantics/meaning of natural language text - Use categories such as domains, intents, and slots to mark words and phrases in text utterances - Manage and track changes in the scenario database - Review and update annotation guidelines and guard data quality Required Knowledge, Skills and Abilities - Bachelor’s degree in Linguistics, Computational Linguistics, Language Technologies, Computer Sciences, or related field - Interest in practical as well as theoretical linguistics, especially syntax, semantics, and pragmatics - Facility with computers and software applications. - Familiarity with basic Python, SQL and script writing - Ability to adapt to changing requirements, priorities, and revisions - Cooperative, solution-oriented attitude - Eagerness to learn new skills and work quickly - Analytic mindset with strong attention to detail - Ability to review examples and apply rules to data - Native speaker of Spanish-US  Qualifications and Experience - Advanced degree and/or industry experience - Experience working remotely - NLG annotation experience If this resonates with you, or if you feel like you would excel in the role, apply now!   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.   About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy 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 in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.    
ID
2020-5095
City
San Francisco
Job Locations US-CA-San Francisco
Posted Date 2 years ago(8/26/2020 12:26 PM)
Position Summary   Become a specialist on natural language generation and help build state-of-the-art AI systems. Your inputs will be used to develop better natural language understanding systems for British English.   Duration: 6 months fixed-term employee, part-time Payment: This is a salaried position, compensation to be determined based on skills and past experience.   Successful candidates must be able to work at client sites in the San Francisco Bay Area once COVID-19 restrictions are lifted.   Responsibilities - Work with Appen's client to produce high quality natural language and mark it up with annotations that provide information about the semantics/meaning of natural language text - Use categories such as domains, intents, and slots to mark words and phrases in text utterances - Manage and track changes in the scenario database - Review and update annotation guidelines and guard data quality Required Knowledge, Skills and Abilities - Bachelor’s degree in Linguistics, Computational Linguistics, Language Technologies, Computer Sciences, or related field - Interest in practical as well as theoretical linguistics, especially syntax, semantics, and pragmatics - Facility with computers and software applications. - Familiarity with basic Python, SQL and script writing - Ability to adapt to changing requirements, priorities, and revisions - Cooperative, solution-oriented attitude - Eagerness to learn new skills and work quickly - Analytic mindset with strong attention to detail - Ability to review examples and apply rules to data - Native speaker of British English  Qualifications and Experience - Advanced degree and/or industry experience - Experience working remotely - NLG annotation experience If this resonates with you, or if you feel like you would excel in the role, apply now!   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.   About Appen   Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy 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 in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.    
ID
2020-5094
City
San Francisco