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 Chemistry 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 chemical correctness reproducibility safety 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 molecular structures spectra and datasets force-field parameters environments reference solutions and automated tests.
- Verify that tasks reflect authentic chemistry research workflows and require genuine multi-step reasoning rather than a single library call or lookup.
- Check that software versions force fields basis sets functionals and dependencies are pinned and that results are reproducible.
- Validate chemical correctness including units such as Hartree eV kcal/mol and kJ/mol; charge and spin multiplicity; stereochemistry and tautomer handling; method specifications; SCF and geometry convergence; frequency checks for minima and transition states; equilibration; and sampling adequacy.
- Ensure tolerances reflect method-dependent numerical and stochastic variation without accepting chemically incorrect results.
- Ensure graders verify energies geometries thermodynamic quantities rate constants spectral assignments or molecular properties rather than formatting.




- Ensure tasks cannot be gamed through hard-coded outputs reading test files or bypassing the intended computation.
- Screen tasks for chemical safety and dual-use concerns.
- Escalate content involving the synthesis or enhancement of hazardous toxic or controlled substances.
- Provide clear actionable written feedback and track revisions through closure.
- Onboard and mentor trainers on task design standards common pitfalls and grader design.
- Allocate work across the pod and track throughput and quality metrics.
- 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 chemistry or a closely related field.
- Strong programming skills in Python C/C Julia or Fortran with Linux and terminal proficiency.
- Hands-on experience with computational chemistry molecular simulation cheminformatics or chemical data analysis.
- Proven experience reviewing code analyses manuscripts or research outputs.
- Experience mentoring or leading small technical or research teams.
- Excellent written communication skills for providing exact constructive feedback

Nice to have:

- Familiarity with PySCF Psi4 ORCA xTB CP2K NWChem GROMACS OpenMM AmberTools RDKit Open Babel ASE or MDAnalysis.
- Experience with free-energy methods reaction mechanism analysis machine-learned potentials or spectroscopy simulation.
- Familiarity with Docker Git CI systems automated testing and HPC environments.
- Experience designing benchmarks programming tasks or simulation-based evaluations.

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

Required Experience:

IC

📌 Remote Pod Lead Chemistry (Bengaluru)
🏢 Turing
📍 Bengaluru