Enter a job title or keyword
Remote Pod Lead Physics
Job Location:
Hourly Salary:
Posted:
30 October 2026 (Yesterday)
Posted:
Application Deadline:
27 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
About Turing:
Turing is one of the worlds fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.
Turing helps customers in two ways: Working with the worlds 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:
We are seeking an experienced Physics expert to lead a pod of trainers building realistic terminal-based scientific tasks for Terminal Bench Science. You will review every task your trainers produce for physical correctness reproducibility and grader reliability and coach trainers to consistently deliver high-quality challenging tasks.
What youll do:
- Review trainer tasks end to end including task statements datasets simulation inputs environments reference solutions and automated tests.
- Verify that tasks reflect authentic physics workflows and require genuine multi-step reasoning.
- Check that tools libraries and dependencies are pinned and that results are reproducible.
- Validate dimensional consistency unit systems and conventions conservation laws symmetries integrator energy drift convergence and statistical treatment of uncertainties.
- Ensure tolerances reflect legitimate stochastic and numerical variation without accepting physically incorrect results.
- Ensure graders verify observables fitted parameters uncertainties or physical invariants rather than formatting.
- Ensure tasks cannot be gamed through hard-coded outputs or bypassed computation.
- Provide clear actionable written feedback and track revisions through closure.
- Onboard and mentor trainers.
- Allocate work track quality and throughput and escalate blockers.
- Maintain pod documentation covering guidelines recurring issues and exemplary tasks.
What were looking for:
- Ph.D. postdoctoral experience or equivalent advanced experience in physics.
- Strong programming skills in Python C/C Julia or Fortran with Linux proficiency.
- Hands-on experience with computational physics simulation or physics data analysis.
- Proven experience reviewing code analyses or research outputs.
- Experience mentoring or leading small technical or research teams.
- Excellent written communication skills for providing precise constructive feedback
Preferred Qualifications:
- Familiarity with QuTiP Qiskit Kwant ITensor ROOT Geant4 Astropy Dedalus MEEP or similar tools.
- Familiarity with Docker Git CI systems and automated testing.
- Experience designing benchmarks or simulation-based evaluations.
Bonus Points:
- Experience evaluating AI coding or terminal agents.
- Experience working in large collaborations with formal internal review processes.
- Prior experience in AI training or evaluation programs.
Offer Details:
- Commitments Required: At least 4 hours per day and minimum 40 hours per week with overlap of 4 hours with PST.
- Employment type : Contractor assignment (no medical/paid leave)
- Duration of contract : 4 week expected start date is next week
About Company
Build GenAI and other enterprise applications, train and enhance LLMs, or hire on-demand technical professionals with Turing.
