Chemist Talent Network

$60–80/hrrate as listed

Mercor maintains a standing network of chemists who are matched to AI training and evaluation projects as labs request them. You apply once, complete an AI interview, and are contacted when a project needs your specific analytical or synthetic background.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

What the work involves

Projects sourced through this network vary, but the underlying tasks are consistent: writing chemistry problems that frontier models fail, grading model outputs against what a working chemist would actually accept, and explaining precisely where a mechanism, spectrum interpretation, or stoichiometric calculation goes wrong. Some engagements ask for original task authoring — a plausible bench scenario with a defensible answer key and distractors that catch surface pattern-matching. Others are pure evaluation: ranking two model responses, flagging hallucinated citations or invented reagents, and writing rationales terse enough to be usable as training signal.

The domains requested most often are analytical chemistry (chromatography, mass spec, NMR interpretation), reaction mechanism and synthetic route planning, chemical safety and handling judgment, and quantitative data analysis. Depth in one area beats shallow coverage of all four.

What the platform screens for

Verifiable background. Resume, degrees, employer or institution, and work location. Mercor checks credentials before approving network membership.
Domain depth under follow-up. The AI interview asks a chemistry question, then presses on your answer. Vague or textbook-recited responses fail; specific technique choices with stated reasoning pass.
Evaluation judgment. Can you distinguish a confidently wrong answer from a correct one written awkwardly? That distinction is the job.
Written clarity. Nearly all deliverables are text. Rationales that a reviewer can't follow have no value.

Logistics

Fully remote and largely asynchronous. Typical project commitments run 15–30 hours per week, self-scheduled, with duration set per engagement. Observed rates for chemistry work on this platform fall in the $60–80/hr range, though actual rates are set per project and are not guaranteed by this application. Note that joining the network is not a job offer — approval makes you eligible for matching, and separate project interviews may follow. Match timing depends entirely on lab demand for your subfield.

What they look for

Graduate degree or equivalent professional experience in chemistry
Hands-on expertise in analytical techniques (HPLC, GC-MS, NMR, spectroscopy)
Ability to write clear, defensible technical rationales in English
Reaction mechanism and synthetic reasoning
Independent remote work with minimal supervision
Prior experience in data review, peer review, or technical QA (preferred)

Before you apply

Would you pass this screen?

Drawn from what this listing actually requires. Answered in your browser — nothing is sent to us, and we do not store your answers.

Do you have professional experience—whether in industry, research, or applied testing—working directly with analytical chemistry techniques such as chromatography, spectroscopy, or similar methods?
Analytical chemistry experience · required
Are you able to work remotely and in a time zone that permits scheduling flexibility with clients across multiple regions?
Work location accessible to the role · required
Are you able to read technical documentation in English, write clear project updates, and participate in recorded or live feedback sessions in English?
Native or fluent English · required
Do you have a current resume or CV that documents your professional and educational background in chemistry that you can upload to your profile?
Resume or CV available · required

0 of 4 answered

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: Whether the candidate has hands-on laboratory experience with real analytical methods (not just textbook knowledge), and whether they can articulate the reasoning behind procedural choices.
A strong answer: Name a concrete technique (e.g., HPLC, GC-MS, titration, spectroscopy), describe the specific chemical or material question it answered, and explain at least one decision point in the method—sample prep, detector choice, calibration approach—showing judgment about trade-offs.
Where people lose it: Describing a technique in generic or theoretical terms without naming a real project, sample type, or outcome; or listing multiple techniques without depth on any single one.