Create and solve demanding physics problems that help evaluate and improve large language models. This fully remote, part-time contractor role is open worldwide and offers advanced physics students the chance to shape cutting-edge AI systems.
Generative AI & RLHF
100% Remote
Worldwide
Eligibility
Entry
Experience
Aug 7, 2026
Posted
Open worldwide
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OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect contributors with opportunities to teach and evaluate AI, build a professional profile, and grow a lasting portfolio of work in this rapidly expanding field.
About AI Training and LLM Evaluation
AI training is the human side of building artificial intelligence. People create examples, review model outputs, and provide feedback that helps modern systems reason more accurately and communicate more clearly. In this role, your physics expertise will directly support the evaluation and improvement of large language models.
Work on cutting-edge AI evaluation from anywhere in the world
Use advanced subject-matter knowledge to reveal model reasoning limitations
Build experience in a fast-growing area of technical AI work
The Role
OpenTrain is seeking a Physics LLM Evaluation Expert to create and solve demanding physics problems used to fine-tune and evaluate large language models. You will turn complex reasoning into clear, rigorous solutions, help researchers investigate model limitations, and contribute to evaluation benchmarks spanning early undergraduate through PhD-level physics.
The work may include abstraction, multi-step reasoning, symbolic manipulation, astrophysics, cosmology, nuclear physics, and particle physics.
Fully remote contractor assignment
Part-time schedule of 20+ hours per week
Worldwide opportunity for individual freelancers
English-language work
What You'll Do
You will combine physics problem solving with structured evaluation and technical communication. Your work will help researchers understand where language models struggle and provide the high-quality examples and feedback needed to improve them.
Design challenging physics problems that expose weaknesses in large language model reasoning
Solve problems and write accurate, step-by-step explanations with structured logic
Collaborate with LLM researchers to align problem sets with evaluation objectives
Provide constructive feedback and detailed annotations that support model improvement
Help define physics evaluation benchmarks across undergraduate and advanced academic curricula
Explain difficult concepts using simple language, visual reasoning, and sound physics principles
Identify weaknesses in abstraction, multi-step reasoning, and symbolic manipulation
Requirements
You should have a strong physics foundation at the level of advanced academic study, together with the analytical and research skills needed to solve complex problems. Clear technical communication, creative and lateral thinking, and the ability to work independently are important for success.
Strong English comprehension and access to a desktop or laptop with a reliable internet connection are required.
Currently pursuing a Master's, Ph.D., or postdoctoral degree in Physics, Applied Physics, or a related field
Strong analytical and research skills for solving complex physics problems
Ability to explain physics concepts clearly through structured reasoning, simple language, and visuals
Ability to provide constructive feedback and detailed annotations
Ability to identify weaknesses in abstraction, multi-step reasoning, and symbolic manipulation
Effective collaboration in a remote setting
Reliable desktop or laptop and internet connection
Relevant Physics Backgrounds
Experience or academic focus in astrophysics and cosmology, or in nuclear and particle physics, is relevant to this opportunity. The broader work may span multiple levels of physics, from early undergraduate material through PhD-level concepts.
Build Your AI Training Portfolio
OpenTrain gives contributors a place to develop a professional history in AI training and data labeling. As you complete specialized evaluation work, you can strengthen your profile, demonstrate credible experience, and discover opportunities aligned with your expertise.
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Design and solve advanced physics problems to probe large language models' multi-step reasoning and symbolic skills; remote, contract, 20+ hours/week working with OpenTrain AI to build benchmarks from undergraduate to PhD levels.
Join OpenTrain to design and solve advanced physics problems that probe LLM reasoning and symbolic skills; remote, part-time contractor work (20+ hrs/week) for candidates with graduate-level physics experience and strong written English.
Join OpenTrain to design and solve advanced physics problems and build evaluation benchmarks that fine-tune large language models. This remote, part-time contractor role (20+ hrs/week) suits PhD-level physicists or equivalent with strong symbolic and multi-step reasoning skills.