
Physicist Talent Network | $60-$80/hr Remote
Overview
This opportunity connects physicists with leading AI labs that need domain experts for contract work. As part of a talent network, you'll contribute your specialized knowledge to train and refine cutting-edge AI models — no full-time commitment required. Once approved, you'll receive project invitations that match your schedule and expertise, with typical weekly engagements of 15–30 hours.
What You'll Do5
- 1Assess and improve the performance of AI models by providing physics-specific feedback on their outputs.
- 2Design and complete tasks that simulate real-world physics scenarios to help train intelligent systems.
- 3Offer detailed, domain-driven critiques during the evaluation phase of frontier AI research projects.
- 4Collaborate remotely with research teams to ensure models accurately reflect physical principles and experimental reasoning.
- 5Document your reasoning and annotations clearly so that your expertise directly enhances model accuracy.
Requirements5
- 1Proven background in theoretical modeling or computational physics, with hands-on experience running simulations and analyzing results.
- 2Strong grasp of experimental design and data analysis techniques used in physical science research.
- 3Proficiency in scientific programming (e.g., Python, MATLAB, or similar) for implementing models and processing data.
- 4Excellent written communication skills and the ability to explain complex physics concepts to non-specialists.
- 5Self-motivated and capable of working independently in a fully remote setting while meeting project deadlines.
Who Should Apply
This network is ideal for physicists — from recent PhDs to seasoned researchers — who want to apply their deep knowledge to the rapidly evolving field of AI. If you're comfortable working on diverse, short‑term projects and enjoy translating physical intuition into structured feedback, you'll thrive here. No prior AI experience is required, but a passion for advancing machine intelligence is valued.
Salary Insight
Projects pay $60–$80 per hour, with rates determined by your expertise and the scope of each engagement. Typical weekly commitments of 15–30 hours can lead to consistent earnings while giving you flexibility.
Location
Application Tip
When filling out your profile, be specific about your subfield (e.g., quantum optics, condensed matter, astrophysics) and any experience you have working with large datasets or machine learning tools. Highlighting concrete examples of how you've used computational modeling or experimental data will make you stand out to project teams.
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.

Mercor
VerifiedPhysical Scientist Talent Network
This is an open talent network for physical scientists to connect with AI labs that need their domain expertise. You can apply once and be considered for future remote contract opportunities where you'll help train and evaluate AI models using your knowledge of experimental research and data analysis. Projects typically require 15–30 hours per week, and you set your own schedule.

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
VerifiedPhysics Expert
micro1 is looking for a Physics Expert to contribute remotely to a project that trains next-generation AI systems. Your deep understanding of physics—not prior AI experience—is what matters. You'll evaluate scientific data, create problem sets, and provide feedback to help AI models reason and learn accurately.

Turing
VerifiedPhysics Expert (PhD/Master's)
Turing, a San Francisco-based research accelerator, helps frontier AI labs and enterprises build advanced AI systems. In this remote role, you will design and solve challenging Physics problems to probe the limits of large language models like ChatGPT. You will produce step-by-step solutions, collaborate with LLM researchers on evaluation goals, and propose new benchmarks spanning early undergraduate to PhD-level topics. This contract work also introduces you to AI-assisted analysis, which can sharpen your own research methods.

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.

