Remote Physics Research Scientist (PhD)

Overview Role Overview: Turing is hiring Physics Research Scientists (PhD, Remote) to test and improve how advanced AI models handle reasoning and problem-solving in physics. Work with top AI labs, contribute to frontier benchmarks, and earn up to $150/hr on a flexible, remote schedule.

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

Key Responsibilities Design and evaluate challenging physics problems to test AI reasoning.

Analyze AI-generated solutions for logic, rigor, and step-by-step clarity.

Provide detailed, constructive feedback that highlights gaps in reasoning.

Contribute to the development of benchmarks that measure model performance on abstract and multi-step tasks.

Collaborate with researchers to refine methodologies for testing AI reasoning.

Must-have Qualifications PhD or Postdoctoral (or currently enrolled) in Physics, Applied Physics, or related fields.

Strong ability to solve complex, multi-step problems with structured reasoning.

Skilled communicator, able to explain logic and critique clearly in writing.

Independent, self-motivated, and comfortable in a remote setting.

Reliable computer and internet setup.

Why Join Turing?

Impact: Help define how AI models reason about abstract, scientific problems.

Prestige: Work with leading AI labs shaping the future of reasoning systems.

Flexibility: Remote-first, with weekly hour options.

Career Growth: Gain experience at the intersection of AI and physics research.

Contract & Selection Process Compensation: $50–$150 per hour, based on skills and experience. (paid once every two weeks).

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.

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, multimoda

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