Data Solutions Lead, Data Collection Excellence
Amazon · Osaka, Japan · Applied Science
mid
operations
Data Annotator
ic
2+ yrs Bachelor's
· Posted Jan 23, 2026
About this role
Amazon is hiring a mid-level Data Annotator in the operations function based in Osaka, Japan. The posting calls out experience with Python, LLMs, Machine Learning, Performance Optimization and roughly 2+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.
- Role
- Data Annotator
- Function
- operations
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Osaka, Japan
- Experience
- 2+ years
- Education
- Bachelor's degree
- Department
- Applied Science
- Posted
- Jan 23, 2026
AI Summary
Data Solutions Lead advising AGI-DS scientists on ML/GenAI data collection strategies, managing customer relationships, and driving technical requirements translation. Requires 2+ years ML data operations experience, bachelor's degree, and strong customer communication skills with technical expertise in data annotation workflows.
More roles at Amazon
Engineering Operation Technician
Jeffersonville, OH · mid
AWS Networking
Senior Software Development Engineer, Engagement Security
Herndon, VA · senior
AWS LLMs Distributed Systems
Senior Engagement Manager, AWSI SDO HCLS EMEA
Zurich, Switzerland · senior
AWS Jira Agile
CF Flex Logistics Assistant
Palma, Spain · mid
Senior Financial Analyst, Global Finance Solutions (GFS)
Heredia, Costa Rica · senior
Python R SQL
All Amazon jobs →
Job description
from Amazon careersAs a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them.
Key job responsibilities
Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements
Coordinate across teams to ensure seamless delivery and stakeholder alignment
Own relationships with customer scientists, becoming their go-to partner for ML data solutions
Provide consultation on ML workflow capabilities, helping customers maximize value
Monitor and optimize collection health metrics to ensure customer success
Drive customer adoption through providing technical value and the provision of an exemplary customer experience.
You'll also:
Guide customers on workflow feasibility and data collection best practices
Collaborate with implementation teams to define and validate technical requirements
Evaluate scalability of annotation scenarios and provide strategic recommendations
Influence technical documentation and guidelines
Key job responsibilities
Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements
Coordinate across teams to ensure seamless delivery and stakeholder alignment
Own relationships with customer scientists, becoming their go-to partner for ML data solutions
Provide consultation on ML workflow capabilities, helping customers maximize value
Monitor and optimize collection health metrics to ensure customer success
Drive customer adoption through providing technical value and the provision of an exemplary customer experience.
You'll also:
Guide customers on workflow feasibility and data collection best practices
Collaborate with implementation teams to define and validate technical requirements
Evaluate scalability of annotation scenarios and provide strategic recommendations
Influence technical documentation and guidelines
Basic Qualifications
This is an excerpt. Read the full job description on Amazon careers →