AI Work Central

Pharmacist

SME CareersMedicineFirst seen 9 Oct 2026

up to$65/hr as listed by SME Careers, USDEstimate a week at this rate
Apply on SME Careers

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Where
17 countries

United States, Germany, Brazil, India, Bangladesh, Bhutan, Indonesia, Cambodia, Sri Lanka, Malaysia, Nepal, Philippines, Pakistan, Singapore, Thailand, Timor Leste, Vietnam

Language
English
Type
Contract, remote

Posted on SME Careers First seen 9 Oct 2026Checked 12 Oct 2026

From the SME Careers listing

In this hourly, remote contractor role, you will work as a Pharmacist Subject Matter Expert (SME) to review AI-generated medication- and pharmacy-related responses and/or generate expert pharmacy content, evaluating reasoning quality and step-by-step clinical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in pharmacotherapy reasoning, dosing logic, contraindications, interactions, monitoring, and patient counseling; fact-check medical and drug information; write high-quality explanations and model solutions that demonstrate correct clinical reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your pharmacy expertise directly helps improve the world’s premier AI models by making their medication guidance, clinical safety reasoning, and patient-facing explanations more accurate, reliable, and clearly explained.

Important:

There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Responsibilities

  • Develop AI Training Content: Create detailed prompts and gold-standard pharmacy responses across therapeutics, drug information, counseling, and medication safety topics.
  • Optimize AI Performance: Evaluate and rank AI responses to improve safety, clinical correctness, clarity, and contextual relevance.
  • Ensure Model Integrity: Test AI outputs for inaccuracies, unsafe recommendations, and bias; validate reliability across use cases and patient populations.

Requirements

  • PharmD or Bachelor’s/Master’s degree in Pharmacy (BPharm/MPharm) and active pharmacist licensure (or eligibility), with strong grounding in pharmacology, therapeutics, and medication safety.
  • 5+ years of professional experience in pharmacy practice (community, hospital, ambulatory care, clinical pharmacy, managed care, or similar).
  • Confident in pharmacotherapy reasoning (indication-based selection, dosing, titration, monitoring, deprescribing) and explaining why a recommendation follows from the evidence.
  • Strong understanding of disease states, guideline-based therapy, medication reconciliation, and patient care workflows across settings (ED/inpatient/outpatient).
  • Exceptional attention to detail when fact-checking drug content and identifying unsafe assumptions, missing contraindications, interaction risks, allergy considerations, or misinterpretation of labs; minimum C1 English proficiency.
  • Comfortable evaluating answers for internal consistency (timelines, physiology, dosing units, formulation selection), appropriateness for setting, and patient safety implications.
  • Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
  • Previous experience with AI data training/annotation, medication-use evaluation, drug information, clinical documentation review, PBM/managed care review, or healthcare editorial QA is strongly preferred.

Text above is the platform's own listing, shown as published. Check the details on SME Careers before applying.

Prepare for the assessment

Practice questions and what each platform says about its screening for this kind of role:

Terms in this listing

  • Prompt: The input given to a model: a question, an instruction or a conversation so far.
  • Relevance: How well a result or answer matches what the user was looking for.
  • Grounding: Whether an answer is supported by a given source, such as a document, search result or retrieved passage.
  • Fact-checking: Checking each claim in a model's answer against reliable sources and marking what is wrong or unsupported.
  • Annotation: Adding labels or notes to data such as text, images, audio or video so a model can learn from it.

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