Domain Expert Lead- STEM (Contract), AGI Data Services

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profile Job Location:

Boston, NH - USA

profile Monthly Salary: Not Disclosed
Posted on: 10-11-2025
Vacancies: 1 Vacancy

Job Summary

**This is a 12 month contract opportunity with the possibility to extend based on business needs**

Embark on a transformative journey as our Domain Expert Lead where intellectual rigor meets cutting-edge technological this pivotal role you will serve as a strategic architect of data integrity leveraging your domain expertise to advance AI model training and evaluation. Your domain knowledge and experience will be instrumental in elevating our artificial intelligence capabilities meticulously refining data collection processes and ensuring the highest standards of quality and precision across complex computational landscapes.

Key job responsibilities
Critically analyze and evaluate responses generated by our LLMs across various domains and use cases in your area of expertise.
Develop and write demonstrations to illustrate what good data looks like in terms of meeting benchmarks for quality and efficiency
Participate in the creation of tooling that helps create such data by providing your feedback on what works and what doesnt.
Champion effective knowledge-sharing initiatives by translating domain expertise into actionable insights while cultivating strategic partnerships across multidisciplinary teams.
Provide detailed feedback and explanations for your evaluations helping to refine and improve the LLMs understanding and output
Collaborate with the AI research team to identify areas for improvement in the LLMs capabilities
Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.


- Masters degree in science technology engineering or mathematics (STEM)
- 1 years of experience creating or contributing to mathematical textbooks research papers or educational content

- PhD in science technology engineering or mathematics (STEM)
- 1 years of experience working with or evaluating AI systems
- Understanding of machine learning concepts particularly as they apply to reasoning and problem-solving
- Strong analytical and decision-making skills with the ability to make complex judgments in abstract and theoretical contexts
- Excellent written and verbal communication skills with the ability to explain complex concepts clearly

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $46.88/hr in our lowest geographic market up to $88.94/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit
This position will remain posted until filled. Applicants should apply via our internal or external career site.

**This is a 12 month contract opportunity with the possibility to extend based on business needs**Embark on a transformative journey as our Domain Expert Lead where intellectual rigor meets cutting-edge technological this pivotal role you will serve as a strategic architect of data integrity levera...
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We see opportunity in technology. In domains such as cloud, AI, mainframe modernisation, DLT and IoT, we blend established practice with new thinking to help our clients stay ahead.

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