AI Agent Evaluation Analyst
Pubblicato il 20-08-2026 - Mindrift in Cuneo
1 day ago Be among the first 25 applicants
Overview
This opportunity is for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.
What We Do
The Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe.
Who we’re looking for
We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate. Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?
This is a flexible, project-based opportunity well-suited for:
- Analysts,
researchers, or consultants with strong critical thinking skills
- Students (senior undergrads / grad students) looking for an intellectually interesting gig
- People open to a tempo parziale and non-permanent opportunity
About the project
We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.
You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve excelled in consulting, CHGK, Olympiads, case solving, or systems th