About this role
The ideal candidate holds a PhD (or Masters-equivalent research degree) in a STEM, computational, or humanities field and demonstrates native or near-native English proficiency. They have hands-on experience with Python and a proven background in agentic or rubric-based AI training work paired with strong academic writing and critical reasoning skills developed throughout their research career. Candidates with active annotation or LLM evaluation experience, a track record of structured output quality, and familiarity with evaluation frameworks are prioritized for immediate engagement.
Backed by Invisible Technologies, with hundreds of roles across languages and professions and pay listed on most postings. Hiring is slow and multi-stage, and rates vary widely by country.
AITrainerGigs aggregates this listing from Meridial.