Molecular Biology Expert

$60–80/hrrate as listed

Review and write molecular biology content used to train and evaluate AI models — problem sets, reasoning traces, and critiques of model answers on topics from cloning and PCR to gene regulation and sequencing analysis. Work is remote and project-based through micro1, with observed rates of $60–80/hr depending on credentials and task complexity.

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

Day to day, you are grading and authoring technical molecular biology material for model training. A typical shift mixes several task types: scoring two model responses against each other on a mechanistic question and writing the rationale for your preference; catching subtly wrong claims about restriction enzyme compatibility, primer design, or promoter architecture; and writing original prompts hard enough that a strong model fails them. Some projects ask for full worked reasoning — the intermediate steps a competent bench scientist would take to interpret a gel, troubleshoot a failed ligation, or reconcile RNA-seq counts with a qPCR result.

The judgment bar is higher than the factual bar. Models rarely fail on textbook definitions; they fail on conditional reasoning, on quantitative steps buried in protocols, and on confidently inventing citations or reagent specifications. Your value is in flagging why an answer is wrong and how a domain reader would be misled by it, in a few tight sentences another reviewer can audit.

What the platform screens for

An AI-led interview, roughly 20–35 minutes, that asks about your actual research history and then presses on specifics — which vector, which polymerase, what your controls were, why that assay and not another.
Verifiable credentials: a PhD, in-progress PhD, or MS with substantial wet-lab or computational molecular biology experience; publications, thesis work, or preprints help.
Written clarity, since most deliverables are prose explanations rather than checkboxes. Vague or hedged rationales get rejected at review.
Calibration — willingness to say a question is ambiguous or that both answers are defensible, rather than inventing a preference.

Logistics

Fully remote and asynchronous. Work arrives in batches tied to specific projects, so volume fluctuates: some weeks offer 10–20 hours, others little or nothing. Most contributors treat this as supplemental rather than primary income. There are no fixed hours, though individual batches carry deadlines measured in days. Pay is hourly or per-task depending on the project; the $60–80/hr band reflects rates contributors have reported, not a guarantee.

What they look for

molecular biology

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 hold a PhD in molecular biology, biochemistry, cell biology, genetics, or a closely related field, or are you currently enrolled in a PhD program in one of these disciplines with substantial wet-lab or computational molecular biology experience?
PhD or advanced degree in molecular biology or related field · required
Do you have at least 2 years of hands-on experience (or equivalent demonstrated mastery) in wet-lab molecular biology techniques (e.g., cloning, PCR, sequencing, cell culture, protein assays) or computational molecular biology (e.g., sequence analysis, RNA-seq, structural modeling, bioinformatics)?
Wet-lab or computational molecular biology experience · required
Do you have at least one publication, preprint, or completed thesis chapter in molecular biology, genetics, or a related field?
Published or thesis-based research · preferred
Are you able to work fully remote and asynchronously, managing variable weekly hours (ranging from 10–20 hours to minimal volume) with deadlines measured in days rather than weeks?
Remote and asynchronous availability · required

0 of 4 answered

Included with this listing

Interview prep — 11 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 you have hands-on command of bench work, data interpretation, and troubleshooting—not just textbook knowledge. The platform needs someone who has felt a ligation fail and debugged it, or analyzed a sequencing run and spotted contamination.
A strong answer: Name a real project (thesis chapter, publication, preprint, or course work you led), state what you were trying to learn or build, describe the key methods you chose and why, and mention at least one obstacle you diagnosed and solved. The specifics matter more than the scale.
Where people lose it: Describing a project you supervised or assisted with minimally, or giving only the abstract/introduction-level framing without any actual execution detail. Vagueness signals you were not in the lab or at the terminal doing the work.