Physical Sciences Research Assistant

SaidGig; New York (NY); Remote; USD 41,000 - 69,000; Part time

Job summary

SaidGig is seeking a remote contract specialist with a strong physics/chemistry/materials science background to design and evaluate complex real-world tasks. You will craft advanced evaluation problems, curate datasets, and develop comprehensive rubrics ensuring scientific rigor and reproducibility.

The role emphasizes independent work, precise documentation in English, and timely task delivery. Prior AI experience is not required, making it accessible to strong physical sciences researchers

Qualifications

• 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, and protocol and rubric fidelity.
• Ability to clearly document complex technical procedures and results in professional written English.
• Experience creating or evaluating scientific rubrics or assessments is preferred.
• Familiarity with large volumes of technical data and document formats such as PDFs and spreadsheets.

Responsibilities

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

Skills

Experimental reasoning

Quantitative analysis

Technical documentation

Rubric fidelity

Scientific communication

Education

Physics/Chemistry/Materials Science degree

Job description

Role Overview

Apply physical sciences expertise to create high-quality training and evaluation materials that help next-generation AI systems learn, reason, and perform. This remote contract role focuses on real-world experimental analysis, computational modeling, and technical reasoning. No prior AI experience is required.

Key Responsibilities

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

Qualifications

• 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, and protocol and rubric fidelity.
• Ability to clearly document complex technical procedures and results in professional written English.
• Experience creating or evaluating scientific rubrics or assessments is preferred.
• Familiarity with large volumes of technical data and document formats such as PDFs and spreadsheets.

Work Terms

Remote, independent contractor engagement. Work is output-based and paid for tasks that meet project specifications. Completion time varies by experience and workflow. Minimum submission requirements apply, including a minimum number of tasks submitted each week. Roles are typically filled within 48 hours. Selected candidates should be prepared to begin their first tasks within 24 to 48 hours after completing onboarding.

Compensation

$30 to $50 per hour.