WFH.teamOpen app$94k-$187k
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PhD in chemistry, computational chemistry, chemical biology, materials science, or a closely related field
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What this posting tells you
Remote worldwide contractor role applying chemistry or computational chemistry expertise to train and evaluate AI systems. Requires a relevant PhD, research experience, deep expertise in at least one listed chemistry area, and Python and/or relevant industry-standard tools. Country eligibility is not specified in the listing and must be checked on the official posting. No explicit salary range is stated.
Backend, Data, Design and creative, Software, Customer support, Writing and content
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Expert · Contractor
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- Required timezone overlap is not stated
Backend hiring on WFH.team
This role's listed pay is below the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketSTEM Expert – Chemistry & Computational Chemistry (PhD) at micro1
Role Title: STEM Expert – Chemistry & Computational Chemistry (PhD)
Role Type: Contractor
Location: Remote (Worldwide)
Job Summary: In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Key Responsibilities
Design, evaluate, and critique chemistry and computational chemistry problems, workflows, and reasoning chains to support AI benchmarking initiatives.
Provide expert-level insights on reaction mechanisms, synthesis planning, spectroscopy analysis, molecular simulations, and electronic structure methods.
Assess and optimize experimental protocols, simulation parameters, and software configurations for accuracy and reproducibility.
Analyze chemical, spectroscopic, and simulation data and provide actionable recommendations.
Leverage domain knowledge to guide the development and validation of chemistry-related AI models and tools.
Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.
Areas of Expertise (we welcome applicants from any of the following):
Organic synthesis & reaction mechanisms
Inorganic & organometallic chemistry
Physical & theoretical chemistry
Analytical chemistry & spectroscopy
Computational chemistry & molecular dynamics
Cheminformatics & drug discovery
Materials science & polymer chemistry
Required Skills and Qualifications
PhD in chemistry, computational chemistry, chemical biology, materials science, or a closely related field.
Hands-on research lab experience, including wet lab experience for experimental subfields, or extensive simulation-heavy research for computational subfields.
Deep expertise in at least one of the areas listed above.
Professional written and spoken English (C1 or higher).
Proficiency in Python and/or industry-standard tools in your subfield (e.g., Gaussian, ORCA, Psi4, GROMACS, LAMMPS, RDKit).
Excellent quantitative, analytical, and scientific reasoning skills.
Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
Track record of rigorous scientific problem-solving in complex chemistry domains.
Preferred qualifications
Academic experience (postdoc, research scientist, faculty, or equivalent), strongly preferred.
Peer-reviewed publications, patents, or contributions to open-source scientific software.
Experience with AI/ML-assisted chemistry workflows or benchmarking.
Background in drug discovery, reaction prediction, or retrosynthesis.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.