Remote Physics Expert (PhD) - 34878

Turing

Wisconsin

Remote

USD 68,880 - 206,640

Part time

14 days+

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Benefits offered by this job

Remote-first role
Flexible hours
Collaborative environment with experts
Career growth opportunities

Job summary

A leading AI company seeking a Physics Expert to design and evaluate advanced physics problems for AI models. This remote role offers flexible hours and pay ranging from $50 to $150 per hour based on experience. Ideal for PhD-level candidates with strong analytical and communication skills. Join to influence cutting-edge AI research in insightful ways.

Qualifications

  • PhD or Postdoctoral (or currently enrolled) in Physics, Applied Physics, or closely related fields.
  • Strong analytical skills and ability to solve complex, multi-step problems with clear reasoning.
  • Excellent written communication; able to explain advanced concepts simply and precisely.

Responsibilities

  • Design and solve advanced physics problems across multiple domains.
  • Evaluate AI-generated solutions for scientific rigor and correctness.
  • Provide structured feedback on AI model outputs.

Skills

Analytical skills
Complex problem-solving
Excellent written communication
Detail-oriented

Education

PhD or Postdoctoral in Physics or related field

Job description

Overview

Join Turing as a Physics Expert (PhD, Remote). Help shape how the world’s most advanced AI models reason about physics. Work on cutting-edge projects with top AI labs while earning up to $150/hr, fully remote, with flexible weekly hours.

About Turing:

Turing is one of the world’s fastest-growing AI companies, partnering with leading AI research labs to advance frontier model capabilities in reasoning, coding, agentic behavior, multimodality, multilinguality, and STEM. Our work directly shapes how next-generation AI systems solve mission-critical challenges across science, technology, and industry.

Role Overview

We are seeking PhD-level Physics experts to contribute to cutting-edge AI research. As a Physics Expert – AI Trainer, you’ll design challenging problems, evaluate model outputs, and provide expert feedback to improve the reasoning capabilities of large language models (LLMs).

This is a remote, contract-based role with flexible weekly hour options (10, 20, or 30 hours per week).

Key Responsibilities
  • Design and solve advanced physics problems across mechanics, electromagnetism, thermodynamics, quantum theory, and related domains.
  • Evaluate AI-generated solutions for scientific rigor, correctness, and clarity.
  • Provide structured, expert-level feedback that identifies model strengths, weaknesses, and misconceptions.
  • Collaborate with AI researchers to refine evaluation benchmarks and improve training workflows.
  • Contribute to the creation of physics-focused datasets that shape the frontier of AI performance.
Key Qualifications
  • PhD or Postdoctoral (or currently enrolled) in Physics, Applied Physics, or closely related fields.
  • Strong analytical skills and ability to solve complex, multi-step problems with clear reasoning.
  • Excellent written communication; able to explain advanced concepts simply and precisely.
  • Independent, detail-oriented, and comfortable working in a remote research environment.
  • Reliable technical setup (computer + internet).
Why Join Turing?
  • Impact: Your expertise will directly influence how the world’s most advanced AI systems understand and reason about physics.
  • Flexibility: Remote-first role with weekly hour options tailored to your schedule.
  • Collaboration: Work alongside global experts and leading AI labs.
  • Career Growth: Gain exposure to cutting-edge AI research and future-proof your career at the intersection of physics and artificial intelligence.
  • Compensation: $50–$150 per hour, based on skills and experience (paid biweekly).
  • Duration: 1 week to 3 months (project-based; extension possible).
  • Hours: Up to 30 hrs/week.
  • Time Zone: 2–5 hrs/day overlap with UTC-8 (America/Los_Angeles), confirmed near onboarding.
Selection

Task-based assessment for shortlisted candidates → contract offer.

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