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AI Agent Evaluation Analyst

AI Agent Evaluation Analyst

MindriftWorkFromHome, South Africa
23 days ago
Job description

Overview

Get AI-powered advice on this job and more exclusive features. This opportunity is designed for candidates who are residing in the specified country, with eligibility and rates potentially affected by location. 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.

Who we\'re looking for

We\'re seeking curious and intellectually proactive contributors who double-check assumptions and play devil\'s advocate. If you are comfortable with ambiguity and complexity, enjoy async, remote, flexible work, and want to learn how modern AI systems are tested and evaluated, you may be a good fit. This is a flexible, project-based opportunity well-suited for :

  • Analysts, researchers, or consultants with strong critical thinking skills
  • Students (senior undergrads / grad students) seeking an intellectually interesting gig
  • People open to a part-time and non-permanent opportunity

About the project

We\'re on the hunt for QA specialists for autonomous AI agents for a project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. You will balance quality assurance, research, and logical problem-solving, with a holistic view of systems, scenarios, implications, and edge cases.

You do not need a coding background, but you must be curious, intellectually rigorous, and able to evaluate the soundness and consistency of complex setups. If you\'ve excelled in consulting, CHGK, Olympiads, case solving, or systems thinking, you might be a great fit.

What you\'ll be doing

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

    Apply to this post, qualify, and get 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.

    Requirements

  • Excellent analytical thinking : ability to reason about complex systems, scenarios, and logical implications
  • Strong attention to detail : can spot contradictions, ambiguities, and vague requirements
  • Familiarity with structured data formats : can read, not necessarily write JSON / YAML
  • Ability to assess scenarios holistically : identify what\'s missing, what\'s unrealistic, what might break
  • Good communication and clear writing (in English) to document findings
  • We also value applicants who have :

  • Experience with policy evaluation, logic puzzles, case studies, or structured scenario design
  • Background in consulting, academia, Olympiads (e.g., 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.)
  • Benefits

  • Get paid for your expertise, with rates that can go up to $20 / hour depending on your skills, experience, and project needs
  • Take part in a flexible, remote, freelance project that fits around your 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
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