AI Trainer - Clinicians

🔒 Confidential Employer
Posted 24 March 2026
LOCATION
remote
TYPE
Contract
LEVEL
Mid-Senior level
CATEGORY
Healthcare
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Clinical Reasoning Clinical Decision-Making Accuracy Attention to Detail PayPal AI Model Training

FULL DESCRIPTION

[Employer hidden — view at passion-project.co.uk] is seeking clinicians to train and evaluate AI models. Domain Experts will be paid to assess AI-generated responses to clinical scenarios, focusing on accuracy, appropriateness, and reasoning quality. Requires clinical experience, attention to detail, and a reliable internet connection. Pay is $130 per hour.

AI Trainer - Clinicians

We’re looking for Clinicians to help train and evaluate cutting-edge AI models. If you have the necessary experience, we’ll send you a quick test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join [Employer hidden] as a Domain Expert participant, where you’ll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay $130p/h per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

- Verified status as a clinician (e.g., current license/registration in good standing; board certification or equivalent where applicable)
- Recent clinical experience and comfort evaluating clinical reasoning and decision-making
- Willingness to complete a short skills/eligibility screener to join our Domain Expert pool
- Strong attention to detail and the ability to focus on complex tasks for up to one hour
- A reliable, fast internet connection and access to a computer
- Willingness to self-declare earnings (participants are self-employed)
- A PayPal account to receive payments from our clients

- Reviewing AI-generated responses to clinical scenarios and rating them for accuracy, clinical appropriateness, safety, and reasoning quality
- Comparing multiple model answers and selecting/justifying the best response
- Writing improved exemplars, rationales, or structured feedback to help models learn where they fall short

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