Language Engineer, Artificial General Intelligence - Data Services
Amazon · Boston, MA · Data Science
mid
Machine Learning Engineer
ic
· Posted May 17, 2026
$74,900 – $131,100
USD per year
Skills
About this role
Amazon is hiring a mid-level Machine Learning Engineer based in Boston, MA. The posting calls out experience with Python, R, SQL, NLP. Compensation is listed at $74,900–$131,100 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Boston, MA
- Department
- Data Science
- Posted
- May 17, 2026
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Job description
from Amazon careersThe Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are aligned with human policies and preferences.
Key job responsibilities
Specifically, the Language Engineer will:
• Design data collection/creation tasks 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
• Analyze and extract language-related insights from large amounts of data
• Build tools or tool prototypes for data analysis or data authoring, using Python or another scripting language
• Use modeling tools to bootstrap or test new functionalities
• Collaborate with scientists and software engineers to evaluate performance of language models
• Handle competing requests from a range of data customers
Key job responsibilities
Specifically, the Language Engineer will:
• Design data collection/creation tasks 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
• Analyze and extract language-related insights from large amounts of data
• Build tools or tool prototypes for data analysis or data authoring, using Python or another scripting language
• Use modeling tools to bootstrap or test new functionalities
• Collaborate with scientists and software engineers to evaluate performance of language models
• Handle competing requests from a range of data customers
Basic Qualifications
This is an excerpt. Read the full job description on Amazon careers →