Drug knowledge checked by pharmacists and pharmacologists.
A wrong unit or a missed interaction is not a small error. We commission pharmacists and pharmacologists to write and grade the drug data AI models learn from.
Pharmacology, with proof.
Language models handle drug facts unevenly. They confuse look-alike drug names, drop the unit from a dose, miss renal or hepatic adjustment, overlook an interaction with a common over-the-counter product, or repeat a contraindication that changed years ago. These errors are easy for a pharmacist to spot and hard for a general annotator to catch. HUMXN commissions credential-checked pharmacists, pharmacologists and toxicologists to create cases, reasoning and evaluations that test exactly these points.
Each item is written to your specification, fingerprinted at intake, checked for duplicates and reviewed by a second expert before delivery. Label provenance records whether a judgment came from the author, a model suggestion or an expert reviewer, and documents or tables are scanned for personal information and masked. Safety screening flags content that would give harmful instructions, and every delivery carries a signed receipt and audit trail your safety and regulatory teams can inspect.
For pharmacists and pharmacologists, this is paid, remote work in your own area of practice or research. You write interaction and dosing cases, grade model answers and review colleagues' items, at a rate shown before you accept each job. The work is data creation for AI systems. It is not dispensing, counseling or advising patients, and it creates no professional relationship with anyone. Approved work is paid automatically through Stripe.
Built to your specification.
Every engagement starts from a written spec and a pilot batch. These are the most common requests we source for pharmacology.
Dosing and adjustment cases
Cases covering weight-based, renal and hepatic dosing, with worked calculations and the units a correct answer must include.
Interaction reasoning
Drug-drug, drug-food and drug-disease interaction scenarios with mechanism, severity and the management a pharmacist would recommend.
Mechanism and PK/PD problems
Pharmacokinetic and pharmacodynamic problems with step-by-step solutions, written for graduate and professional-level evaluation.
Model answer grading
Pharmacists score model responses for accuracy, completeness, units, safety and appropriate referral, with written rationales.
Drug label and document annotation
Structured extraction from labeling and monographs: indications, contraindications, warnings and dosing tables.
Safety evaluation items
Prompts that test whether a model refuses unsafe requests and flags overdose and misuse risks, with expected behavior defined by experts.
01Units and calculations
Dose errors often hide in units and conversions. Experts check every step of the arithmetic, not only the final number.
02Look-alike, sound-alike names
Models confuse similar drug names. Expert-written items target these pairs deliberately so the failure is measured.
03Changing guidance
Recommendations change. Newly written, dated items reflect current practice instead of whatever was common in scraped text.
Paid work in your field.
Remote and flexible, with the rate stated before you accept. Every job is reviewed by a second expert, and approved work is paid automatically.
- PharmD, BPharm or an equivalent pharmacy degree
- A current or recent pharmacist license or registration
- PhD in pharmacology, toxicology or a related science
- Several years of clinical, hospital or research practice
- Board certification or specialty practice, such as oncology or critical care
Write dosing and interaction cases
Draft realistic scenarios with the correct reasoning, calculation and recommended action.
Grade model answers
Score responses against a rubric for accuracy, units, safety and referral, and explain each deduction.
Extract from drug labels
Structure indications, warnings and dosing tables from labeling into a defined schema.
Review another expert's items
Check a colleague's cases and answers as second reviewer before delivery.
Pharmacology: asked often.
What pharmacology data can you produce?
Dosing cases with worked calculations, interaction scenarios, PK/PD problems, drug label extractions, preference judgments and held-out evaluation sets. Each request is scoped by therapeutic area, setting and difficulty, then matched to pharmacists or pharmacologists verified in that area. A pilot batch lets you check the reasoning standard and format before the request grows.
Is this work dispensing or advising patients?
No. The work is writing and reviewing data for AI systems. You do not dispense, counsel patients or give advice to members of the public, and it creates no pharmacist-patient relationship. Nothing you write is presented to an individual as advice from you. Each job explains how the data will be used before you accept.
Do I need to be a licensed pharmacist?
Many jobs require a pharmacy degree and a current or recent license, which we verify with your identity. Research-oriented tasks, such as mechanism or PK/PD problems, may instead require a doctorate in pharmacology or toxicology. Each job lists its required credentials, and you only receive offers that match what has been verified.
How do I get paid?
Rates are set by field and task and are shown before you accept a job. After your work passes second-expert review, it is credited to your balance and paid automatically through Stripe once your identity and tax details are verified. Every job appears on an itemized ledger, so you can see exactly what was approved and paid.
How much time does the work take?
There is no minimum commitment. Opportunities are offered when they match your verified field, each with a stated scope and deadline, and you decide which to accept. Most experts fit the work around clinical or research duties, working remotely at times that suit them.
Can we license the dataset exclusively?
Yes. Commissioned pharmacology datasets can be licensed exclusively, with scope, term and exclusivity agreed in writing before work begins. Deliveries come as JSONL, CSV, Parquet or Croissant with a signed receipt listing every item by ID and hash, and standing orders can extend the dataset as guidance changes.
Pharmacology, done by experts.
Need expert-made data in this field, or have the expertise to make it? Start here.