Physics Masters – AI Training Specialist

About The Role

We're looking for Physics Masters graduates and current students to help train and evaluate cutting-edge AI models. Your deep understanding of physics will directly shape how the next generation of AI reasons through complex scientific problems — making a real and lasting impact on the field.

This is a fully remote, flexible contract role working alongside top AI research labs. No prior AI experience needed — just strong physics knowledge and sharp analytical thinking.

Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week

What You'll Do

Design advanced physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more Develop rigorous, step-by-step solutions that demonstrate clear and logical reasoning Evaluate AI-generated responses for scientific accuracy, depth, and quality of reasoning Collaborate with researchers to build and refine benchmarks across undergraduate to Masters-level physics Provide structured written feedback to improve AI model performance on complex STEM tasks

Who You Are

Currently pursuing or have completed a Masters degree in Physics, Applied Physics, or a closely related field Strong analytical and problem-solving skills across advanced physics domains Able to communicate complex scientific concepts clearly and precisely in writing Detail-oriented with a systematic approach to evaluating quality and accuracy Self-motivated and comfortable working independently and asynchronously No prior AI or machine learning experience required

Nice to Have

Experience with data annotation, quality evaluation, or academic research Familiarity with writing technical documentation or structured feedback Background spanning multiple physics subfields

Why Join Us

Work on genuinely cutting-edge AI projects with leading research labs Fully remote and flexible — work on your own schedule, from anywhere Freelance perks: high autonomy, variety in work, and global collaboration Directly contribute to improving how AI understands and applies physics Potential for ongoing work and contract renewal