MercorPosted 22 Aug 2026
Chemistry PhD Coding Experts
Pay
$70/hr
Work
Remote · Contract · 40 hrs/wk
Eligibility
No stated location restriction
Field
Science & research
Skills
ChemistryQuantum ChemistryComputational ChemistryScientific ComputingPythonRGitGitHubDockerScientific SoftwareResearch EngineeringAI EvaluationBenchmark Development
About this role
Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code)
Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.
Domains — depth required in at least two subdomains (with a coding focus)
- Chemistry — quantum chemistry, computational chemistry
What you'll do
- Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design
- Write scientific prompts based on the input
- Build the grading criteria that define a correct answer
- Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed
Required
- PhD in chemistry, physical chemistry, theoretical chemistry, computational chemistry, or a closely related field
- Demonstrated depth in both of the following subdomains: quantum chemistry and computational chemistry
- Working proficiency in Python, R, or another relevant programming language for scientific computing
- Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks
Preferred
- Publications in peer-reviewed journals
- Prior scientific software or research engineering experience
Engagement
- Duration: 6 weeks
- Commitment: part-time, 20+ hours per week
- Start date: immediate
Process
- Upload your resume and application form
- A 25-minute conversational interview covering your background, experience, and motivations
- Follow up within a few days with next steps and onboarding
Apply today and put your research expertise to work building the next generation of scientific AI.
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