Domain Expert: Physics

Review complex physics problems and evaluate AI-generated scientific outputs.

About Turing:

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality. In coding, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across Financial Services, Life Sciences, Healthcare, Retail, Automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models.

Role Overview

We are seeking Physics experts to contribute advanced scientific expertise to data curation and evaluation for frontier AI models and labs. This senior reviewer role focuses on reviewing complex physics problems, developing evaluation frameworks, and advising client teams assessing AI-generated scientific outputs.

The role is designed for experienced researchers, faculty, and industry specialists interested in applying their expertise to improve the accuracy, reasoning, and reliability of AI systems across physics disciplines.

What You’ll Do Day-to-Day

• Lead expert review of complex or ambiguous physics problems and AI-generated responses.
• Evaluate the accuracy of physical reasoning, mathematical derivations, and quantitative solutions.
• Review content within your areas of expertise, such as classical mechanics, electromagnetism, thermodynamics, statistical mechanics, quantum mechanics, relativity, or condensed matter physics.
• Assess interpretations of experimental results, computational simulations, theoretical models, and scientific literature.
• Identify incorrect assumptions, unsupported claims, mathematical errors, and gaps in scientific reasoning.
• Verify dimensional consistency, units, boundary conditions, approximations, and limiting cases.
• Facilitate structured resolution of scientific disagreements among reviewers.
• Develop evaluation frameworks, scoring rubrics, and reference answers.
• Provide expert guidance to client teams reviewing AI model outputs.
• Author scientifically supported commentary and document evaluation decisions.
• Provide specialized consultation within your research or industry domain.

Requirements

• PhD in Physics, Applied Physics, or a closely related discipline.
• Minimum three years of post-PhD research, teaching, or relevant industry experience.
• Current or recent experience in academic research, an industrial R&D environment, or a recognized research institution.
• Strong understanding of fundamental physics, mathematical methods, and analytical techniques relevant to your discipline.
• Specialized expertise in one or more areas, such as condensed matter physics, particle physics, nuclear physics, astrophysics, plasma physics, optics and photonics, atomic and molecular physics, quantum information, or computational physics.
• Experience with theoretical, experimental, or computational methods relevant to your specialization.
• Demonstrated research contributions through peer-reviewed publications, patents, or substantial scientific projects.
• Ability to critically assess scientific literature, mathematical derivations, experimental design, uncertainty analysis, and data interpretation.
• Strong written communication skills and the ability to explain physical reasoning clearly.
• Ability to lead and document scientific consensus.
• Disciplined adherence to project protocols, confidentiality requirements, and quality standards.

Preferred Qualifications

• Faculty appointment at the rank of Assistant Professor or above, or equivalent senior research or industry experience.
• Prior experience with AI evaluation, machine learning for physics, scientific computing, or scientific dataset development.
• Experience reviewing journal articles, research proposals, or technical reports.
• Experience teaching or mentoring graduate students, researchers, or technical teams.
• Active involvement in professional societies such as APS, AIP member societies, the Institute of Physics, Optica, or relevant specialist organizations.
• Familiarity with scientific reproducibility, numerical validation, and research data integrity practices.
• Proficiency in relevant computational tools or programming languages, such as Python, MATLAB, Mathematica, or C++.

Performance Expectations

• Take senior reviewer responsibility for assigned review batches.
• Deliver accurate, reproducible, and scientifically defensible evaluations.
• Clearly document assumptions, derivations, evidence, uncertainty, and limitations.
• Distinguish established physical principles from model-dependent conclusions and speculative hypotheses.
• Maintain consistency and reliability when collaborating with other expert reviewers.
• Communicate constructively with client teams during advisory discussions.
• Meet agreed deadlines and follow established evaluation protocols.
• Disclose relevant equity, advisory, consulting, or employment relationships with organizations whose technologies or products may appear in project content.
• Disclosed conflicts do not automatically disqualify applicants but may influence assignment allocation.

Perks of Freelancing with Turing

• Flexible, fully remote collaboration.
• Learn how advanced AI systems are trained and evaluated.
• Contribute to projects with leading AI and LLM companies.
• Apply your physics expertise to challenging, real-world AI evaluation problems.
• Collaborate with experts across disciplines and geographies.
• Potential for contract extension based on project needs and performance.

Engagement Details

• Engagement type: Independent contractor.
• Anticipated commitment: An average of 15 hours per week, with up to 40 hours per week during peak review periods.
• Duration: Four weeks.
• Timeline and assignments depend on project requirements.
• Fully remote and asynchronous, with occasional synchronous calls.
• NDA required upon engagement; detailed scope of work shared after NDA execution.

Evaluation Process

• Submit your CV, including academic appointments or relevant research and industry experience.
• Include two recent peer-reviewed publications or equivalent scientific contributions.
• Provide a brief statement of interest, approximately 300 words, describing your experience with scientific review, structured technical writing, or AI evaluation.
• Applicants will be shortlisted based on qualifications and relevant domain expertise.
• Shortlisted applicants will participate in one interview.
• Successful applicants will complete a brief calibration assignment before full engagement.

Skills: Dermatology