Job Description
The Data Solutions Lead, Data Collection Excellence role serves as a reliable consultant who provides expert guidance to Amazon’s AGI-DS scientists. The position combines three functions which include providing technical advice to customers and leading operational processes to develop data solutions that enable advanced AI model training.
Date Posted: January 28, 2026
Expiration Date: NA
Job ID: 3171219
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Key Responsibilities
- Build trust with machine learning and general artificial intelligence scientists by helping them convert their research goals into data collection plans.
- Create and document machine learning, general artificial intelligence and data solutions which meet customer requirements.
- Develop and maintain customer scientist relationships to achieve successful research results through their work with customers.
- Manage cross-functional team operations to ensure project work progresses smoothly while meeting stakeholder requirements.
- Provide expert advice to clients regarding machine learning processes and data labeling methods.
- Track and improve data collection performance indicators which help customers achieve their desired outcomes.
- Assess the capacity of data labeling processes to handle growth and produce recommendations for strategic direction.
- Establish new technical documentation requirements and create operational standards and procedures.
Basic Requirements
- The applicant must possess a bachelor’s degree in an appropriate discipline or possess comparable work experience.
- Must have two or more years of experience handling ML data operations or data annotation processes.
- Strong expertise in ML operational procedures together with their data generation methods and GenAI understanding.
- Excellent skills for conveying information to customers and providing technical guidance.
- Demonstrated the capacity to change intricate technical information into workable solutions.
Preferred Qualifications
- Applicants should hold a bachelor’s degree in Computer Science or Business or a related discipline.
- Knowledge of project management or technical account management.
- Demonstrate working experience with JSON and command-line tools and Python programming.
- Experience in customer success and solution consulting and technical advisory roles.
- Working together with teams that operate in different parts of the world and across various departments.