Pod Lead
- Chemistry (Terminal Bench Science) | $20
- $28/hr Qualification: Ph.
D., postdoctoral experience, or equivalent advanced experience in chemistry or a closely related field.

Job Type
Contractor assignment

Location:
Remote Domain: Chemistry | Computational Science | AI Training 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.

Key Responsibilities
• 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. Key Requirements
• Ph.
D., postdoctoral experience, or equivalent advanced experience in chemistry or a closely related field.
• Solid 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 precise, constructive feedback. Role Details
• Start Date: Immediate
• Engagement Length: 3 weeks
• Commitment: At least 4 hours per day and minimum 40 hours per week, with an overlap of 4 hours with PST.

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