Appen

Job Listings


Here are our current job openings. Please click on the job title for more information, and apply from that page if you are interested.

Use this form to perform another job search

The system cannot access your location for 1 of 2 reasons:
  1. Permission to access your location has been denied. Please reload the page and allow the browser to access your location information.
  2. Your location information has yet to be received. Please wait a moment then hit [Search] again.
Click column header to sort

Search Results Page 6 of 6

Job Locations US-Remote
Posted Date 2 days ago(6/27/2022 1:11 PM)
CUSTOMER SUCCESS MANAGER (Location: USA Remote)     Position Summary The Customer Success Manager (CSM) is responsible for managing a $3-5M book of business, achieving high customer retention rates within that customer base, and ensuring that an environment for revenue expansion is possible. In addition, the CSM must align multiple internal functions and work across levels and functions within our enterprise customers to maximize the value that Appen delivers. Responsibilities - Accelerate customer platform adoption during the onboarding phase by driving post-sales engagement, achievement of success criteria when applicable, and proactively identifying and managing risk areas - Ensuring proper internal alignment and customer communication to keep all deliverables on track - Anticipating and addressing issues that may arise and finding solutions that unblock and exceed customer expectations. - Ensure customer retention by working with the customer to understand, measure, and consistently deliver high ROI.Driving high utilization of customer’s subscription. - Driving the customer’s business transformation and operational excellence. - Being the customer’s trusted advisor and advocate within Appen. - Collaborating and communicate across various Appen teams to ensure problems are solved, meet and exceed success metrics. - Grow product use within our customer base by understanding and clearly communicating customer use cases, goals, business needs and opportunities to both our product and sales teams. - Building strategic relationship across the enterprise organizations we serve. - Arming Product with customer stories to accelerate product adoption and improve and expand product functionality to ensure immediate customer needs are consistently met and future goals aligned. - Working with Sales to identify new use cases and support their efforts to expand usage within and across enterprises. - Establish a repeatable and scalable engagement model for our Enterprise customer base by creating and driving process standardization and improvement within the CSM team Required Knowledge, Skills and Abilities - Prior experience managing a portfolio of customers with total annual recurring revenue between $1 and $5 Million (i.e., ARR). - Strong leadership skills to advocate cross functionally on behalf of customers. - Excellent analytical and problem-solving ability to unblock customers from business and technical issues. - Willingness to learn core technology tools including but not limited to HTML/CSS, Liquid and SQL. - A true passion for customers and for Customer Success with the ability to build strong relationships. - Truly enjoys a dynamic environment where every day is different, and each challenge is different. - Can juggle multiple, very different tasks – an advanced customer wanting to leverage deep functionality today, onboarding a new customer tomorrow, partnering with sales on an upsell opportunity the next day. Each client may have very different use cases and specific needs, being able to stay organized and accomplish their goals is important to our success. - Experience managing customers both large and small and knowing how and why to manage them differently.   Qualifications and Experience - Bachelor's degree or equivalent work experience. - Willingness to travel and meet customers up to 15% of the time (post-COVID). - 3-5 years in a customer-facing role (CSM, Account Management, Sales) preferably at a SaaS company. 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
2021-5586
City
Remote
Job Locations PH-Cavite
Posted Date 9 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 2 days ago(6/27/2022 12:44 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
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