Pharmacist Experts: $60-$150/hr from AI Labs & Healthtech

Open application· 49 spots this round

$60-$150/hr pharmacy and medication therapy work, on your schedule

Review AI-generated dosing, interaction checks, and medication therapy plans the way you'd verify an order before it reaches a patient. Flag the contraindication, the renal-dose miss, the duplicate therapy. The vigilance that catches the error before it leaves the counter is exactly what AI labs need.

Fully remoteYour scheduleWeekly pay

Apply nowApply once, get matched on a rolling basis. No prior AI experience needed.

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Hi, we're Zac and Jack, the founders of Terac. We want to talk to you directly, because you are the most important part of what we're building.

Terac is a community of experts. People who have spent years getting good at something specific and hard. The world is about to need more of you, not less. As AI takes on more of the world's work, the bottleneck shifts to the people who actually know what they're talking about.

Expert labor is the rarest resource in the world right now, and it is shockingly hard to find. The companies that need a clinical pharmacist's eye on a dangerous interaction spend weeks chasing people, paying placement fees, and settling for whoever is available. Meanwhile thousands of qualified people are sitting with knowledge that no one ever asks for.

That gap is what we're here to close. Every project that lands on Terac is routed to the people who actually know the answer, on their schedule, paid fairly, and only when the work is verified. No middleman taking a cut of your time. No vague gigs. No chasing checks.

We care about every single person in this community. If you join Terac, you're not a row in a database to us. We read the feedback. We answer the emails. We will fight for you when a customer is being unreasonable, and we will be honest with you when something on our side is broken. The quality of this panel is our entire company, and we owe you a serious bar.

If you've made it this far, here is what we're asking: claim your profile. Put your expertise on the record. Let the world's most ambitious teams come find you for the work only you can do.

Zac & Jack

Founders

Pharmacy questions

Still curious? Write to us at support@terac.com.

Specialization is an advantage, not a barrier. AI developers need experts who can catch errors in clinical decision support outputs, drug interaction reasoning, and chemotherapy dosing calculations that a generalist reviewer would miss. Board-certified specialists - BCOP, BCACP, BCPS, and others - are among the most sought-after reviewers precisely because the AI outputs in those domains carry the highest stakes.

An active, unrestricted pharmacist license in any U.S. state is the baseline credential Terac verifies. If your license is in retired or inactive status, you may still qualify based on your professional history and any board certifications you hold, but this is assessed case by case. You will not be asked to practice pharmacy or counsel patients, so the work itself does not constitute practice under most state pharmacy practice acts.

The work involves reviewing and evaluating AI-generated text - such as drug therapy assessments, patient counseling scripts, or clinical documentation - not dispensing, verifying prescriptions, or providing patient care. You are not acting as a pharmacist-of-record in any interaction, so standard scope-of-practice rules do not apply to your participation. If a specific task raises a concern, you can decline it without affecting your standing on the platform.

Typical tasks include evaluating AI-drafted clinical monographs, SOAP notes written from a pharmacist's perspective, drug utilization review rationales, patient medication counseling scripts, and responses to drug information queries. You may also be asked to write worked examples that show how a pharmacist reasons through a polypharmacy case or interprets a renal-dosing adjustment, so the model can learn expert-level clinical logic. The content draws directly on pharmacy practice rather than general medical knowledge.

Pharmacy informatics and operations expertise is in demand for a distinct set of tasks, including evaluating AI outputs related to formulary management, automated dispensing cabinet workflows, medication reconciliation, and pharmacy benefit structures. If your background spans both clinical and systems knowledge, that combination is particularly valuable for reviewing AI tools aimed at health-system pharmacy automation. Pure clinical depth is not a prerequisite for every project.

Why your expertise matters

Pharmacy sits at a uniquely high-stakes intersection of clinical decision-making and regulatory precision: a model that confuses a Brand/generic substitution rule, misreads a REMS requirement, or hallucinates a drug-drug interaction can cause real patient harm. AI labs building medical reasoning models need pharmacists to catch the exact class of errors that would slip past a general clinician - counseling nuances, renal/hepatic dose adjustments, formulary edge cases, and compounding standards that live in the pharmacist's daily practice rather than in textbooks. Your ability to distinguish a plausible-sounding but clinically wrong AI response from a defensible one is the signal these labs cannot manufacture any other way.

How pay works

Pay within the $60-$150/hr band rises with the depth and specificity of your practice area: clinical pharmacists with MTM or APhA specialty certifications, oncology or critical-care PharmD backgrounds, or hands-on experience with REMS programs and narrow therapeutic index drugs consistently land toward the upper end. All work is fully remote and asynchronous; you log hours on your own schedule and payment is released after each verified task batch, not on a net-30 invoice cycle.

What the work looks like

A sample of the pharmacy and medication therapy work you would pick up. Every project is scoped, remote, and paid on verified completion.

Review an AI-generated drug interaction monograph for a warfarin-fluconazole combination and flag any dosing guidance that contradicts current Lexicomp or Clinical Pharmacology evidence.
Annotate a model-produced REMS counseling script for isotretinoin, marking statements that misrepresent iPLEDGE enrollment steps or pregnancy testing requirements.
Write a worked example of a renal dose adjustment for vancomycin in a patient with a CrCl of 25 mL/min, showing the clinical reasoning a pharmacist would use before a model is trained on that reasoning pattern.
Evaluate an AI response to a patient question about grapefruit interactions with amlodipine, rating the accuracy, completeness, and safety of the explanation against current clinical guidance.
Compare two AI-generated prior authorization justification letters for a specialty biologic, identifying which better reflects real insurer criteria and acceptable clinical documentation standards.
Create a set of realistic pharmacy consultation scenarios - including patient demographics, current medication list, and presenting question - that can be used to stress-test a model's ability to detect contraindications.