Physical Sciences AI Evaluation Research Assistant

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a professional profile, and apply in minutes. Creating an OpenTrain account is free.

About AI Training Work

AI training is the human side of building artificial intelligence. People with scientific expertise create realistic examples, evaluate model outputs, and define what accurate, rigorous reasoning looks like so advanced systems can improve.

• Remote work with a global contributor community
• Flexible part-time contracting in a fast-growing technology field
• A chance to apply scientific judgment to cutting-edge AI development

The Role

OpenTrain AI is seeking a Physical Sciences AI Evaluation Research Assistant to create high-quality evaluation material for AI systems that reason about scientific problems. You will translate authentic physical sciences expertise into realistic tasks, computational and research artifacts, methodological guidance, and detailed grading standards.

This contractor, part-time opportunity is available worldwide and requires 20 or more hours per week. Compensation is $30 to $50 per hour. The role is conducted in professional written English and is listed at the entry level.

• Work arrangement: Remote and worldwide
• Engagement: Part-time contractor
• Time commitment: 20+ hours per week
• Pay: $30-$50 per hour
• Language: English

What You'll Do

You will design advanced evaluation tasks that reflect complex technical challenges rather than simplified textbook exercises. Your work will connect scientific judgment with careful assessment of AI-generated reasoning and outputs.

You will also prepare reproducible documentation and collaborate with project leads to keep evaluation methods scientifically sound, consistent, and relevant to the benchmark.

• Design tasks covering experimental analysis, computational modeling, and technical reasoning
• Source, synthesize, and curate CSV datasets, spreadsheets, computational results, and scientific references
• Create realistic scenarios and problem statements for complex physical sciences challenges
• Define quantitative solutions and rigorous methodological approaches
• Develop grading rubrics with 35 or more items covering technical rigor, numerical accuracy, interpretation quality, and scientific protocol adherence
• Document experimental reasoning and protocols clearly enough to support reproducibility and consistent rubric use
• Collaborate with project leads to maintain methodological integrity and benchmark relevance

Requirements

A bachelor's or master's degree in physics, chemistry, materials science, or a closely related field is required. You must also have at least two years of hands-on research experience or applied technical project work in a physical sciences domain.

The role requires strong quantitative analysis, methodological rigor, and the ability to document complex technical procedures and results in clear, professional written English. Familiarity with PDFs, spreadsheets, and other technical data formats is useful. Protocol fidelity, rubric fidelity, and scientifically sound judgment are expected.

• Bachelor's or master's degree in physics, chemistry, materials science, or a closely related field
• At least two years of hands-on physical sciences research or applied technical project experience
• Strong quantitative analysis skills
• Demonstrated methodological rigor in scientific contexts
• Professional written English for documenting complex procedures and results
• Ability to build evaluation rubrics covering numerical accuracy and protocol adherence
• Familiarity with technical data formats such as PDFs and spreadsheets

Helpful Background

Experience authoring or evaluating scientific rubrics or assessments is helpful. Experience translating complex research methods into clear problem statements and measurable evaluation criteria is also valuable.

• Scientific assessment or rubric development
• Research-method documentation
• Technical problem statement development
• Defining measurable evaluation criteria

How This Work Builds Your AI Career

Every major AI system depends on carefully prepared and reviewed examples. By creating scientific evaluation tasks and grading standards, you help shape how AI systems handle technical reasoning while building a portfolio that reflects your subject-matter expertise.

OpenTrain gives contributors one place to develop an AI training profile, find projects that match their skills, and grow their experience in a rapidly expanding industry. Apply through OpenTrain to begin the process.

• Create a profile that showcases credible AI training experience
• Discover projects aligned with your physical sciences background
• Build a durable portfolio at the intersection of science and AI