Pharmacists: Pharmacy AI Training and Evaluation Expert, Part-Time AI Evaluation - Remote (United States)

• Up to $130 per hour

• 100% remote

• Part-time independent contractor

• 20 or more hours a week, you choose when

Use your pharmacy expertise to create realistic evaluation tasks, review model responses, and explain practical improvements.

AI training is human review that helps AI systems improve. Subject-matter experts create realistic examples, assess model outputs, and explain what is accurate, useful, and safe. OpenTrain AI evaluates applicants on relevant skills and experience.

## What you will do

• Create realistic pharmacy scenarios and evaluation prompts.

• Review model responses for accuracy, relevance, and professional quality.

• Explain strengths, risks, and corrections in concise written feedback.

• Apply your subject-matter judgment to varied examples and workflows.

## Why this is worth your time

• Up to $130 per hour on part-time AI evaluation projects.

• Review AI-generated work and provide structured feedback using your professional expertise.

• Fully remote and flexible, with no fixed shifts or commute

• Turn specialist knowledge into feedback that improves model quality.

## Who this is for

• Language: Fluent English.

• Skills: Clear written communication, careful attention to detail, and the ability to follow detailed instructions and apply rubrics consistently.

• Work style: Comfortable working independently on remote contractor tasks.

• No AI experience needed.

## Pay and details

• Up to $130 per hour as an independent contractor.

• Part-time, flexible schedule; fully remote, United States.

## How to apply

1. Apply on OpenTrain with your resume: https://app.opentrain.ai/api/out/cmw3tv33x00hf08lgdf5k18s4?ch=nursebloom&sub=p_ba177724e3e1

2. Complete the application on the hiring site.

3. If shortlisted, take a short AI interview.

This is specialist work done remotely around your current schedule.

## About OpenTrain AI

OpenTrain AI connects experienced professionals with paid, part-time AI training and data-labeling work. Contributors review and improve examples that help AI systems produce useful content.