Physical Sciences Research Assistant Focused on AI Training
Overview
A remote contractor role for a Physical Sciences expert to help train next generation AI systems with real-world scientific input. You will design advanced evaluation tasks, source authentic research artifacts, and craft realistic problem scenarios that reflect complex technical challenges. You’ll document protocols and grading rubrics to ensure reproducibility and high standards of methodological integrity. This position emphasizes domain knowledge over AI experience, focusing on physics, chemistry, or materials science expertise and rigorous quantitative analysis.
What You'll Do7
- 1Design and author advanced evaluation tasks spanning experimental analysis, computational modeling, and technical reasoning.
- 2Source and curate authentic research artifacts such as datasets, computational results, and scientific references.
- 3Create realistic scenarios that mirror real-world technical problems, avoiding overly simplified examples.
- 4Establish rigorous methodological approaches and quantitative solutions for each assignment.
- 5Develop detailed grading rubrics with 35+ items to assess technical rigor, numerical accuracy, interpretation quality, and protocol adherence.
- 6Document experimental reasoning and protocols clearly to support reproducibility and rubric fidelity.
- 7Collaborate with project leads to ensure tasks meet high standards of methodological integrity and benchmark relevance.
Requirements5
- 1Bachelor's or master's degree in physics, chemistry, materials science, or a closely related field.
- 2At least 2 years of hands-on research or applied technical project work in a physical sciences domain.
- 3Strong methodological discipline and solid quantitative analysis skills in scientific contexts.
- 4Ability to document complex procedures and results clearly in professional written English.
- 5Experience drafting or assessing scientific rubrics or assessments is a plus.
Who Should Apply
The ideal candidate brings substantial hands-on research experience in physical sciences and a track record of clear documentation. They should be comfortable designing and evaluating rigorous tasks and rubrics, with a eye for reproducibility. This role is less suitable for those lacking advanced training in physics, chemistry, or materials science, or those who have limited experience handling large data sets and technical documents. Common fit issues include insufficient methodological rigor or weak written communication, which can lower alignment with our rubric-driven approach.
Salary Insight
Pay is task-based and paid per assignment that meets project criteria; exact rates are not disclosed here and compensation settles after task completion.
Location
Required Skills
Application Tip
Highlight a past project where you designed an evaluation task and a corresponding rubric, including how you ensured reproducibility and numerical accuracy.
See NearSkill jobs more often in your search
How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
Similar open positions
Explore active roles that match your skills and interests.
Micro1
VerifiedPhD Physicist Remote Contract for AI Training and Research
A remote contractor role for a PhD physicist to contribute deep physics expertise to a customer project focused on advanced physics research and AI training. You will analyze data, develop explanations for AI evaluation, and help curate physics content for training modules. The position emphasizes rigorous research, scientific communication, and clear feedback on outcomes to guide iterative AI training. You may collaborate with stakeholders remotely to ensure deliverables align with project goals. Physics and AI training are central to daily tasks and learning outcomes.
SME Careers
VerifiedPhysicist for AI Training Content Review Remote Contract
SME Careers seeks a qualified physicist to join a remote, contract AI training initiative. You will review AI training responses and assess the quality of their reasoning, then craft clear physics explanations that illustrate correct methods. You will perform fact-checking across physics topics against public sources and provide targeted feedback to improve model outputs. There is no active project yet, but top experts will be contacted first when relevant opportunities arise for remote contract work.
Micro1
VerifiedPhysics Expert for AI Training and Content Review
A remote contractor role for physics experts with a PhD to contribute to an AI development project. You’ll use your deep physics knowledge to train models, review and generate technical content, and provide clear scientific feedback to ensure accuracy. No AI background required, just strong domain insight and the ability to explain complex ideas in writing and speech. Your work helps shape how models learn, reason, and perform by supplying high-quality real-world input and analysis. Expect collaboration with project stakeholders and a focus on precision and depth in every task. Bold advanced physics and technical writing as you translate concepts for AI interpretation.
Micro1
VerifiedSocial Science Research Assistant for AI Benchmarking
Remote contractor role supporting a frontier AI benchmarking project. You’ll design and run authentic evaluation tasks drawn from social science methods, then produce realistic research artifacts and grading rubrics. Your domain knowledge guides how models should be trained to reason and perform, with emphasis on rigor and transparent documentation. Prior AI experience isn’t required; focus is on solid social science expertise and careful task construction. Key tools and areas include survey design, qualitative coding, literature reviews, and statistical outputs, all built to reflect real-world research complexity. Survey design, Qualitative coding, Statistical analysis are central to the work.
Micro1
VerifiedPhysics Expert for Postdoc to Junior Professor Focused on AI Training
A remote contractor role for Physics Experts at the postdoc or junior professor level, focused on helping train next‑generation AI systems with real-world physics input. You’ll critically review physics solutions, derivations, and arguments from researchers and AI outputs to spot errors and strengthen reasoning. Your work informs how models learn and reason, using your domain knowledge to provide precise, actionable feedback. The project emphasizes rigorous technical writing, LaTeX, SymPy, Python, and Jupyter for validation and documentation, with a US/Canada/UK focus in the candidate pool. Bolded domains you’ll work across include Physics subfields, LaTeX/Computational tools, and peer-review style feedback.
Micro1
VerifiedPhysics Expert and PI Guidance for AI Training
Senior physics expert needed to guide a high-impact project by providing domain insights for training next‑generation AI systems. Remote contractor role for established professors or principal investigators who can assess complex physics arguments, compare methods, and articulate meta‑level criteria. You’ll work with tools like LaTeX, SymPy, Python, and Jupyter to verify claims and draft defensible evaluations for peer review. No AI experience required; deep domain knowledge is what matters.