AI Agent Evaluation Analyst; Freelance

This opportunity is only 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.

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.

We’re searching for curious, intellectually proactive contributors who double‑check assumptions and play devil’s advocate. If you’re comfortable with ambiguity and complexity, enjoy async, remote, flexible work, and want to learn how modern AI systems are tested and evaluated, this role could be a fit.

We’re hiring 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 as part of a team that thinks holistically about systems and policies.

• Reviewing evaluation tasks and scenarios for logic, completeness, and realism
• Identifying inconsistencies, missing assumptions, or unclear decision points
• Helping define clear expected behaviours (gold standards) for AI agents
• Annotating cause‑effect relationships, reasoning paths, and plausible alternatives
• Thinking through complex systems and policies as a human would to ensure agents are tested properly
• Working closely with QA, writers, or developers to suggest refinements or edge‑case coverage

Apply to this post, qualify, and you’ll receive the chance to contribute to a project aligned with your skills on your own schedule. Shape the future of AI while building tools that benefit everyone.

• Excellent analytical thinking: reason about complex systems, scenarios, and logical implications
• Strong attention to detail: spot contradictions, ambiguities, and vague requirements
• Familiarity with structured data formats (read JSON/YAML)
• Ability to assess scenarios holistically: identify what’s missing, unrealistic, or could break
• Good communication and clear writing in English to document findings

• Experience with policy evaluation, logic puzzles, case studies, or structured scenario design
• Background in consulting, academia, olympiads (logic/math/informatics), or research
• Exposure to LLMs, prompt engineering, or AI‑generated content
• Familiarity with QA or test‑case thinking (edge cases, failure modes, "what could go wrong")
• Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.)

• Get paid for your expertise, with rates up to $80/hour depending on your skills, experience, and project needs
• Work remotely on a flexible, freelance project that fits your primary professional or academic commitments
• Participate in an advanced AI project and gain valuable experience to enhance your portfolio
• Influence how future AI models understand and communicate in your field of expertise