Remote Physics Expert

Turing; Turkey; Remote; TRY 34,000 - 83,000; Part time

Job summary

Turing seeks a physics-strong contractor to help push the boundaries of AI via high-quality physics problem design and gold-standard data creation. You will collaborate with LLM researchers to shape evaluation benchmarks and address model limitations, spanning topics from undergraduate to PhD level.

The role is remote, requires 4+ hours daily with PST overlap, and runs for 12 weeks. A PhD in Physics or equivalent is preferred.

Qualifications

• PhD or equivalent in Physics or related technical field.
• Experience in AI evaluation, data annotation, or analytical roles is preferred but not required.
• Commitment: at least 4 hours per day, up to 40 hours/week, with 4 hours overlap with PST.

Responsibilities

• Design and solve challenging physics problems to stress test large language models.
• Create gold-standard data: detailed, step-by-step solutions with clear reasoning.
• Collaborate with LLM researchers to align task designs with evaluation goals and identify model weaknesses.
• Help define evaluation benchmarks across physics topics from undergraduate to PhD level.

Skills

Analytical thinking

English comprehension

Structured communication

Feedback delivery

Independence

Remote work readiness

Education

PhD in Physics

Job description

Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview:

In this role, you will work on cutting-edge initiatives to fine-tune large language models by leveraging your deep analytical skills and physics expertise. The ideal candidate possesses a strong foundation in physics—spanning advanced engineering entrance levels through graduate and PhD-level concepts and the ability to break down complex phenomena into clear, step-by-step reasoning. You will play a direct role in probing model limitations while learning how to leverage frontier AI tools to future-proof your career.

Requirements:

• Core Skills: Strong analytical, research, and problem-solving skills with excellent English comprehension.
• Communication & Feedback: Exceptional structured written communication, with the ability to provide constructive feedback and detailed annotations in a remote environment.
• Analytical & Creative Thinking: Strong lateral thinking capabilities to construct novel scenarios and evaluate complex reasoning pathways.
• Independence: Self-motivated and capable of operating independently in a fast-paced, remote-first setup.
• Technical Infrastructure: Personal desktop/laptop equipped with a stable, high-speed internet connection.

Responsibilities:

In this role, you will help set the benchmark for AI capabilities in advanced physical sciences. Your day-to-day responsibilities will include:

• Problem Creation & Solutioning: Designing and solving challenging physics problems that test the boundaries of large language models.
• Authoring Gold-Standard Data: Creating clear, high-quality, step-by-step solutions with detailed and articulated reasoning.
• Research Collaboration: Working with LLM researchers to align task designs with evaluation goals, targeting key areas where models struggle (e.g., symbolic manipulation, abstraction, multi-step reasoning).
• Benchmark Definition: Helping define and build new evaluation benchmarks across physics curricula ranging from early undergraduate to PhD-level topics.

Education & Experience:

• Educational background or Doctorate in Physics, Applied Physics, or an equivalent technical field.
• Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.
• Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor
• Engagement Length: 12 weeks

Evaluation Process:

• Shortlisted candidates will be sent a Job Interest Form.
• Final selected candidates will be contacted with the next steps, including onboarding requirements.