AI Training Domain Expert - Mental Health Pro (Remote)

Prolific Academic Ltd

United States

Remote

USD 207,000 - 248,000

Full time

14 days+

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Job summary

Prolific Academic Ltd is seeking Mental Health Professionals to help train and evaluate AI models and join the Domain Expert pool for paid AI tasks. Successful candidates will receive tests to assess fit and eligibility, with payment per task and flexible hours, including work from home.

Responsibilities include reviewing AI-generated psychological prompts, editing psychology-related content, and contributing high-quality feedback to improve models.

Qualifications

  • Licensed Mental Health Professional with current license/registration
  • Solid understanding of psychology theory, research methods, and human behaviour
  • Willingness to complete a short screener to join the Domain Expert pool
  • Strong attention to detail and ability to focus for up to one hour
  • Reliable internet connection and access to a computer
  • Willingness to self-declare earnings as a self-employed participant
  • PayPal account to receive payments from clients

Responsibilities

  • Review AI-generated responses to psychological scenarios
  • Analyze, edit, and write psychology-related content for AI training
  • Improve AI models using knowledge of psychology and human behaviour
  • Compare model answers and justify the best response choice
  • Write improved exemplars, rationales, or structured feedback for model learning

Skills

Mental health professional
Psychology knowledge
Attention to detail
Self-employment readiness
PayPal payments
Reliable internet

Job description

Prolific Academic Ltd is seeking Mental Health Professionals to help train and evaluate AI models and join the Domain Expert pool for paid AI tasks. Successful candidates will receive tests to assess fit and eligibility, with payment per task and flexible hours, including work from home.

Responsibilities include reviewing AI-generated psychological prompts, editing psychology-related content, and contributing high-quality feedback to improve models.

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