Pod Lead — Material Sciences (Terminal Bench Science)

AI Work Expert; India; Remote; INR 6,517,000 - 15,640,000; Full time

Job summary

Turing is seeking a Pod Lead — Materials Sciences to oversee a team of technical trainers and develop terminal-based scientific tasks for advanced AI training initiatives. You will review complex tasks, validate simulation setups, and ensure scientific accuracy across multiple domains from DFT to energy materials.

The role demands strong programming in Python/C++/Fortran/Julia, mastery of Linux, and a Ph.D. or equivalent in Materials Science or related fields.

Qualifications

• Ph.D. or equivalent in Materials Science, Metallurgy, or a closely related discipline.
• Strong programming skills in Python, C/C++, Fortran, or Julia; proficiency in Linux/terminal environments.
• Hands-on expertise in atomistic simulation, computational thermodynamics, mesoscale modeling, electronic structure calculations, or materials characterization data analysis.

Responsibilities

• Lead and mentor a pod of technical trainers, ensuring quality and timely delivery of materials science tasks.
• Review tasks end-to-end: problem statements, crystal structures, interatomic potentials, thermodynamic databases, simulations, reference solutions, and tests.
• Validate tasks involving DFT, molecular dynamics, thermodynamics, phase diagrams, crystallography, materials characterization, and energy materials.

Skills

Basic Programming

Python

C/C++

Fortran

Julia

Linux

Terminal

Materials science

Computational modeling

Scientific validation

Education

Ph.D. in Materials Science or related

Postdoctoral experience

Job description

# Pod Lead — Material Sciences (Terminal Bench Science)per hourFull-time Remote Last verified 1 Nov 2026Listed on Turing turing.comApplyApplyReferral link. You pay nothing; we may earn a fee.Affiliate disclosureWork Expert (WE) is an independent publishing and referral website. We are not a recruiter, hiring manager, agent or employer, and we are not affiliated with or endorsed by Turing. Applying takes you to the platform's own website, where we may be recorded as the referring source. We may receive a referral fee at no additional cost to you. Read our full affiliate disclosure →Apply within 30 days of clicking - Turing only credits applications inside its 30-day attribution window.## About the RoleTuring 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. We are seeking an experienced Materials Science expert to lead a team of technical trainers developing realistic, terminal-based scientific tasks for a frontier AI training and evaluation initiative.## What You'll Do* Lead and mentor a pod of technical trainers, ensuring consistent quality, productivity, and timely delivery of materials science tasks.* Review scientific tasks end to end, including problem statements, crystal structures, interatomic potentials, thermodynamic databases, simulation inputs, reference solutions, and automated tests.* Validate tasks involving density functional theory (DFT), molecular dynamics, computational thermodynamics, phase diagrams, crystallography, materials characterization, mechanical properties, semiconductors, and energy materials.* Ensure tasks reflect realistic materials research workflows and require meaningful multi-step scientific reasoning rather than simple database lookups or library calls.* Verify scientific correctness across units, crystal symmetry, convergence criteria, electronic structure calculations, thermodynamic consistency, and simulation parameters.* Validate computational environments, scientific software, pseudopotentials, interatomic potentials, and dependencies to ensure reproducible results.* Review automated graders to ensure they evaluate meaningful scientific outputs such as lattice parameters, formation energies, band gaps, elastic constants, phonon properties, phase fractions, diffusion coefficients, and microstructure metrics.* Identify technical inaccuracies, unrealistic assumptions, incorrect numerical tolerances, and opportunities to bypass scientific calculations or simulations.## You're a Good Fit If You* Required skills: Basic Programming* Ph.D., postdoctoral experience, or equivalent advanced technical experience in Materials Science, Metallurgy, or a closely related discipline.* Strong programming skills in Python, C/C++, Fortran, or Julia, with proficiency in Linux and terminal-based environments.* Hands-on expertise in at least one major area: atomistic simulation, computational thermodynamics, mesoscale modeling, electronic structure calculations, or materials characterization data analysis.* Strong understanding of materials science fundamentals, numerical methods, computational modeling, and scientific validation.* Experience reviewing complex technical work, scientific code, computational simulations, manuscripts, or research outputs.* Ability to evaluate scientific assumptions, numerical accuracy, simulation convergence, and the reliability of computational results.* Strong analytical judgment with the ability to identify technical errors, edge cases, and flawed scientific assumptions.Get ready for TuringDesign a resume for Turing Prepare for the Turing interview## Role HighlightsPayPay not listedContractFull-timeLocationRemoteCategoryModel evaluationPosted3 days agoJob IDTUR-115909## Pay & PayoutIndependent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.