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- Tasks: Evaluate AI responses in physics and refine prompts for better model behaviour.
- Company: Join a leading AI research lab backed by top investors.
- Benefits: Earn $73/hour with flexible full-time or part-time options.
- Why this job: Make an impact in AI while sharing your passion for physics.
- Qualifications: PhD in Physics and experience with large language models required.
- Other info: Dynamic role with opportunities for teaching and mentoring.
The predicted salary is between 50000 - 60000 £ per year.
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Physics AI Evaluator
Type: Full-time or Part-time Contract Work
Compensation: $73/hour
Location: USA, UK, Canada, EU
Role Responsibilities
- Write and refine prompts to guide model behaviour in physics contexts.
- Evaluate LLM-generated responses to physics-related queries for conceptual accuracy, mathematical correctness, and reasoning quality.
- Conduct fact-checking using authoritative public sources and domain knowledge.
- Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies.
- Assess clarity, structure, and appropriateness of explanations for different audiences.
- Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines.
Qualifications
Must-Have
- PhD in Physics or closely related field.
- Deep expertise in one or more sub-domains: Classical Mechanics & Dynamics, Electromagnetism, Optics & Signals, Thermodynamics & Statistical Physics, Quantum Physics, Relativity, Cosmology & High-Energy Physics.
- Significant experience using large language models (LLMs).
- Excellent writing skills and ability to explain complex physics concepts.
- Strong attention to detail.
- Experience reviewing or editing technical or academic writing.
- Fluent English language skills.
Preferred
- Prior experience with RLHF, model evaluation, or data annotation work.
- Experience teaching, mentoring, or explaining physics concepts to non-expert audiences.
- Familiarity with evaluation rubrics, benchmarks, or structured review frameworks.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
For any help or support, reach out to: support@mercor.com
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Physics Professor employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Physics Professor
✨Tip Number 1
Make sure you know your stuff! Brush up on your physics knowledge and be ready to discuss it in detail. We want to see your passion for the subject, so don’t hold back!
✨Tip Number 2
Practice explaining complex concepts in simple terms. You might be asked to break down tricky topics for non-experts, so show us you can make physics accessible and engaging!
✨Tip Number 3
Get familiar with large language models (LLMs) if you haven’t already. We’re looking for someone who can evaluate responses effectively, so understanding how these models work will give you an edge.
✨Tip Number 4
Don’t forget to apply through our website! It’s quick and easy, and we review applications daily. Completing your AI interview is key to getting noticed, so get on it!
We think you need these skills to ace Physics Professor
Some tips for your application 🫡
Craft a Stellar Resume: Make sure your resume highlights your PhD in Physics and any relevant experience with LLMs. We want to see your expertise shine, so tailor it to showcase your skills in evaluating physics concepts!
Nail the AI Interview: The AI interview is your chance to impress us! Prepare by reviewing your resume and thinking about how you can articulate your experience with model evaluation and teaching complex concepts clearly.
Show Off Your Writing Skills: Since excellent writing is a must-have, include samples of your technical or academic writing if possible. We love seeing how you explain complex ideas, so let your writing do the talking!
Apply Through Our Website: Don’t forget to apply through our website! It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Mercor
✨Know Your Physics Inside Out
Make sure you brush up on your physics knowledge, especially in the sub-domains mentioned in the job description. Be ready to discuss concepts from Classical Mechanics to Quantum Physics, as well as how they relate to AI and LLMs.
✨Showcase Your Writing Skills
Since excellent writing skills are a must-have, prepare to demonstrate your ability to explain complex physics concepts clearly. Bring examples of your previous work or even practice explaining a tricky concept in simple terms.
✨Familiarise Yourself with Evaluation Standards
Understand the evaluation rubrics and benchmarks that might be used in the role. This will help you articulate how you would apply these standards when assessing model responses during the interview.
✨Prepare for AI and LLM Discussions
Given the emphasis on large language models, be ready to discuss your experience with them. Think about specific projects or tasks where you've used LLMs, and be prepared to share insights on their strengths and weaknesses in physics contexts.