Physical Sciences Research Assistant for AI Training

Apply physical sciences expertise to create rigorous, real-world evaluation materials that help train next-generation AI systems. This remote contract role centers on experimental analysis, computational modeling, technical reasoning, and clear scientific documentation. Prior AI experience is not required.

• Design and author advanced physical sciences evaluation tasks involving experimental analysis, computational modeling, and technical reasoning.
• Source, synthesize, and curate authentic research artifacts, including CSVs, spreadsheets, computational results, datasets, and scientific references.
• Create scenarios and problem statements that reflect complex real-world technical challenges rather than simplified textbook examples.
• Define rigorous methodologies and quantitative solutions for each task.
• Develop detailed grading rubrics with 35 or more items assessing technical rigor, numerical accuracy, interpretation quality, and adherence to scientific protocols.
• Document protocols and experimental reasoning clearly to support reproducibility and rubric fidelity.
• Work with project leads to maintain methodological integrity and benchmark relevance.

• Bachelor''s or Master''s degree in physics, chemistry, materials science, or a closely related field.
• At least 2 years of hands-on research experience or applied technical project work in a physical sciences domain.
• Strong methodological rigor, experimental reasoning, quantitative analysis, technical documentation, protocol fidelity, and rubric fidelity.
• Ability to document complex technical procedures and results in clear, professional written English.
• Experience authoring or evaluating scientific rubrics or assessments is preferred.
• Comfort working with large volumes of technical data and varied document formats, including PDFs and spreadsheets.

• Remote, independent contractor engagement.
• Compensation is output-based and paid per task that meets project specifications. Time required may vary by experience and workflow.
• Minimum submission requirements apply, including a minimum number of tasks per week.
• Selected candidates should be prepared to begin their first tasks within 24 to 48 hours after completing required onboarding steps.

$30 to $50 per hour advertised rate.