Remote Physics Pod Lead for AI Training

Turing; Turkey; On-site; TRY 4,129,000 - 7,569,000; Full time

Job summary

Turing is seeking an experienced Physics expert to lead a pod of trainers building realistic, terminal-based scientific tasks. You will review every task for physical correctness, reproducibility, and grader reliability, and coach trainers to deliver high-quality, challenging tasks.

You will onboard and mentor trainers, allocate work, track quality, and maintain pod documentation. Strong background in physics with programming and mentoring experience is required for this contractor role.

Qualifications

• PhD or equivalent in physics.
• Strong programming skills in Python, C/C++, Julia or Fortran with Linux.
• 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.

Responsibilities

• Review trainer tasks end to end including statements, datasets, simulation inputs, environments, reference solutions, and automated tests.
• Verify tasks reflect authentic physics workflows and require multi-step reasoning.
• Check tools, libraries, and dependencies are pinned and results are reproducible.
• Validate dimensional consistency, unit systems and conventions, conservation laws, symmetries, energy drift, convergence, and uncertainties.
• Ensure tolerances reflect legitimate stochastic and numerical variation without physically incorrect results.
• Ensure graders verify observables, fitted parameters, uncertainties, or invariants rather than formatting.
• Prevent tasks from being gamed by 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 upscale blockers.
• Maintain pod documentation covering guidelines, recurring issues, and exemplary tasks.

Skills

Python

C/C++

Julia

Fortran

Linux

Computational physics

Code review

Education

PhD in Physics

Tools

QuTiP

Qiskit

Kwant

ITensor

ROOT

Geant4

Astropy

Dedalus

MEEP

Docker

Git

CI systems

Job description

Turing is seeking an experienced Physics expert to lead a pod of trainers building realistic, terminal-based scientific tasks. You will review every task for physical correctness, reproducibility, and grader reliability, and coach trainers to deliver high-quality, challenging tasks.

You will onboard and mentor trainers, allocate work, track quality, and maintain pod documentation. Strong background in physics with programming and mentoring experience is required for this contractor role.