
Ph.D. / Postdoctoral / Master’s Expert
Listing checked August 25, 2026 · pay as published by Turing
Overview
Turing, a San Francisco-based research accelerator, connects STEM experts with projects that fine-tune large language models such as ChatGPT. In this remote contractor role, you will design and solve challenging STEM problems to expose model weaknesses, then produce step-by-step solutions with well-articulated reasoning. You will collaborate with LLM researchers to align evaluation questions with areas where models struggle, including abstraction, multi-step reasoning, and symbolic manipulation. You may also help define new evaluation benchmarks drawn from physics curricula spanning early undergraduate to PhD-level topics.
What You'll Do6
- 1Design original STEM problems that probe the limits of large language models.
- 2Write clear, step-by-step solutions with complete and logical reasoning for each problem.
- 3Collaborate with LLM researchers to target failure modes such as abstraction, multi-step reasoning, and symbolic manipulation.
- 4Build evaluation benchmarks based on physics content that ranges from early undergraduate to PhD-level material.
- 5Review model outputs and provide constructive annotations that help guide fine-tuning.
- 6Explain complex STEM ideas using simple language, visuals, and physics reasoning.
Requirements7
- 1Strong research and analytical skills with STEM knowledge at the level of engineering entrance exams or graduate programs.
- 2Current enrollment in a Master's, PhD, or postdoctoral program in STEM, applied physics, or a related field.
- 3Ability to solve complex physics problems using a structured, logical approach.
- 4Excellent written communication for remote collaboration and detailed annotation work.
- 5Self-motivated and capable of working independently in a fully remote environment.
- 6Reliable desktop or laptop computer with a stable internet connection.
- 7Creative and lateral thinking skills to craft novel evaluation problems.
Who Should Apply
Graduate students, PhD candidates, and postdocs in STEM fields will find this role a strong match if they can turn advanced physics and math concepts into clear, step-by-step explanations. The work rewards independent, detail-oriented thinkers who can collaborate with researchers in a remote environment. People who lack graduate-level STEM depth or who prefer a conventional office team structure will find the role less suitable. Rejection often happens when sample solutions are too short, skip reasoning, or show weak physics fundamentals. Emphasize your graduate research and include a concise example of how you explain a difficult concept.
Pay and demand for AI Training roles
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$70/hour
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Compensation
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Required Skills
Application Tip
Submit a sample solution for a graduate-level physics problem that shows your full reasoning chain, and mention any prior experience with LLM evaluation or fine-tuning.
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