Remote Applied Physicist: AI Physics QA & Stress Testing

Remote Applied Physicist: AI Physics QA & Stress Testing

Full-Time 50000 - 70000 Β£ / year (est.) Working from home possible
Alignerr

At a Glance

  • Tasks: Design challenging physics problems and evaluate AI reasoning for cutting-edge models.
  • Company: Alignerr, a leader in AI research with a focus on physics.
  • Benefits: Fully remote work, flexible hours, and the chance to impact AI development.
  • Other info: Join a dynamic team dedicated to innovative solutions in AI.
  • Why this job: Contribute to groundbreaking AI research while applying your physics expertise.
  • Qualifications: PhD in Physics and strong communication skills.

The predicted salary is between 50000 - 70000 Β£ per year.

Alignerr is seeking PhD-level Applied Physicists to work on cutting-edge AI models, ensuring they adhere to the laws of physics. This fully remote role allows you to design challenging physics problems, evaluate AI reasoning, and refine model behavior to respect scientific constraints.

Ideal candidates will have a deep mastery of core physics disciplines and the ability to articulate complex concepts clearly. Flexible working hours make this an excellent opportunity for those looking to contribute to impactful AI research.

Remote Applied Physicist: AI Physics QA & Stress Testing employer: Alignerr

Alignerr is an exceptional employer that champions innovation and flexibility, offering PhD-level Applied Physicists the chance to work remotely on groundbreaking AI research. With a strong emphasis on employee growth, our collaborative work culture encourages the exploration of complex physics concepts while providing the autonomy to design and evaluate challenging problems. Join us to be part of a team that values your expertise and fosters meaningful contributions to the future of AI.

Alignerr

Contact Details:

Alignerr Recruitment Team

We think you need these skills to ace Remote Applied Physicist: AI Physics QA & Stress Testing

PhD in Physics
Core Physics Mastery
AI Model Evaluation
Physics Problem Design
Scientific Constraints Understanding
Complex Concept Articulation
Remote Collaboration