Nuclear Physics AI Training Specialist

Role overview Bring nuclear physics knowledge to AI training projects by preparing data and evaluating model-generated content. The work focuses on improving the accuracy and relevance of outputs through expert review, data validation, and collaboration on projects spanning multiple fields.

Responsibilities - Annotate and label data to train and improve AI models. - Review generated content for accuracy and relevance, using nuclear physics expertise to assess it. - Share subject-matter insights that can guide improvements to model performance. - Contribute to AI training projects across different fields. - Check data quality and validation results to support reliable machine learning applications.

Requirements - Strong background in nuclear physics or a related discipline. - Experience with AI training or data annotation. - Proficiency in data analysis and validation techniques. - Careful attention to detail and commitment to quality assurance. - Ability to explain complex scientific concepts clearly.

Nice to have - A master’s or doctoral degree in nuclear physics or a related field. - Familiarity with machine learning frameworks and tools. - Experience working collaboratively with a team.

Benefits and work setup The description mentions flexible work hours, competitive hourly rates, and a benefits package, without specifying its terms. It also cites opportunities to collaborate on AI projects and support professional growth.