Physicist
Listed on 2026-06-13
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Research/Development
AI Evaluation, Research Scientist, Artificial Intelligence, Data Annotation/ AI Labeling
We’re seeking physicists to join our AI training project. In this role, you will review AI-generated responses, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding; fact‑check physics information;
write high‑quality physics explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on physics correctness and reasoning quality.
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
Key Responsibilities- Develop AI Training Content:
Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. - Optimize AI Performance:
Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance. - Ensure Model Integrity:
Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
- You hold an MS or PhD in Physics or a related field in one of the top 100 universities.
- Confident in physical reasoning, mechanics, electromagnetism, optics, thermodynamics/statistical mechanics, and modeling/systems thinking.
- You have developed or critically reviewed complex physics content (e.g., problem banks, proofs, textbook sections, research notes).
- Expert at fact‑checking information using public sources across multiple domains.
- You communicate physics clearly and turn advanced theory into real‑world solutions.
- Background in research, analytical writing, debate, programming, or physics is preferred.
- Published in a peer‑reviewed journal.
- English proficiency C1 and above with excellent writing skills.
- Bonus:
Data labeling, RLHF, or AI model evaluation experience.
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