AI training contract
STEM Expert – Chemistry & Computational Chemistry (PhD)
Engineering · USD 45-90 an hour. · 50 openings
STEM Expert – Chemistry & Computational Chemistry (PhD) is contract work for micro1, reviewing and correcting what AI models produce in engineering. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. This role is gated on phd or academic credential. Applications without it are not considered, and the requirement is stated here because the original advert usually carries it well below the rate.
What it pays. USD 45 to USD 90 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is global and fully remote. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, and Ethiopia. That rule comes from micro1's own FAQ at www.micro1.ai/experts, read on 2026-10-05. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 50 openings on this role.
Skills named: Computational Chemistry, Structural Bioinformatics, Cheminformatics, Proteomics & Metabolomics, Documentation, Verbal communication, Biology, organic chemistry, physical chemistry.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by 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.
All AI training roles we track · Every micro1 opportunity with filters
Rate, openings and requirements checked 2026-10-19 against micro1's own public postings.