Senior Language Engineer, Artificial General Intelligence - Data Services jobs in United States
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Amazon · 21 hours ago

Senior Language Engineer, Artificial General Intelligence - Data Services

Amazon is seeking Senior Language Engineers to join their Artificial General Intelligence (AGI) Data Services organization, which develops diverse datasets for training and evaluating AI models. The role involves leading data creation strategies, conducting complex data collections, and collaborating with cross-functional teams to enhance AI systems.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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H1B Sponsor Likelynote

Responsibilities

Define and lead the organization's data creation strategies for our science partners
Design and lead complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches
Analyze and extract insights from large amounts of data
Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language
Use modeling tools to bootstrap or test new AI functionalities
Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models

Qualification

Data creation strategiesAI dataset creationMachine Learning evaluationsPythonComputational LinguisticsMultimodal dataCollaborationCommunicationProblem-solving

Required

Master's degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)

Preferred

PhD in Computational Linguistics (or equivalent field with computational emphasis)
5+ years of experience creating AI datasets for complex and quickly evolving requirements using a range of approaches: model-based, human in the loop, synthetic/code-based, etc
5+ years of experience working with speech, text, and multimodal data, including in multiple languages
5+ years of experience defining and leading cross-team data creation strategies for long-term science customers
5+ years of experience with Machine Learning training and evaluations, specifically regarding the types of data needed for different training types
Familiarity with technical concepts such as APIs, knowledge of version control and agile development procedures, familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)

Benefits

Equity
Sign-on payments
Full range of medical, financial, and/or other benefits

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

H1B Sponsorship

Amazon has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase