Remote Physical Sciences Research Assistant for AI Training

micro1; United States; Remote; USD 34,000 - 69,000; Part time

Job summary

micro1 is seeking Physical Sciences Research Assistants on a remote basis in the United States to contribute specialized expertise for training next-generation AI systems. The role emphasizes domain knowledge in physical sciences over prior AI experience, with emphasis on rigorous evaluation tasks and high-quality input.

Responsibilities include designing advanced tasks, curating research artifacts, and developing detailed rubrics and documentation to ensure reproducibility and methodological

Qualifications

• Strong quantitative analysis skills applied to physical sciences.
• Clear written communication of technical procedures and results.
• Experience drafting or evaluating rubrics or assessments is a bonus.
• Experience handling large technical data sets and multiple document formats (PDFs, spreadsheets).

Responsibilities

• Design and author advanced evaluation tasks in the physical sciences, including experimental analysis and computational modeling.
• Source, synthesize, and curate authentic research artifacts, including datasets and computational results.
• Craft scenarios and problem statements reflecting real-world technical challenges.
• Define rigorous methodological approaches and quantitative solutions for each task.
• Develop 35+ item grading rubrics ensuring methodological rigor and rubric fidelity.
• Document protocols and experimental reasoning for reproducibility.
• Collaborate with project leads to meet high standards of benchmark relevance.

Skills

Quantitative analysis

Technical documentation in English

Rubrics/assessments development

Data handling (CSV/ spreadsheets)

Education

Physics/Chemistry/Materials Sci degree

Job description

micro1 is seeking Physical Sciences Research Assistants on a remote basis in the United States to contribute specialized expertise for training next-generation AI systems. The role emphasizes domain knowledge in physical sciences over prior AI experience, with emphasis on rigorous evaluation tasks and high-quality input.

Responsibilities include designing advanced tasks, curating research artifacts, and developing detailed rubrics and documentation to ensure reproducibility and methodological