AI Agent Evaluation Analyst (Freelance)

Mindrift; Town of Texas (WI); Remote; USD 68,191 - 97,120; Part time

Benefits offered by this job

Flexible project schedule

Competitive pay based on expertise

Gain experience in advanced AI projects

Job summary

A forward-thinking AI company is seeking QAs for autonomous AI agents to validate and improve complex task structures. This is a flexible, remote role ideal for those with strong analytical skills, attention to detail, and an interest in AI. Responsibilities include reviewing tasks for logic, identifying inconsistencies, and defining expected behaviors for AI agents. Earn up to $60/hour based on skills and experience while contributing to innovative AI projects.

Qualifications

• Must reason about complex systems and logical implications.
• Strong attention to detail needed to spot contradictions.
• Good communication in English to document findings.

Responsibilities

• Review evaluation tasks for logic and completeness.
• Identify inconsistencies or unclear decision points.
• Define clear expected behaviors for AI agents.
• Suggest refinements or edge-case coverage.
• Collaborate with QA, writers, and developers for refinements.

Skills

Analytical thinking

Attention to detail

Good communication

Familiarity with structured data formats

Job description

Location requirement: This opportunity is only for candidates currently residing in the specified country. 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 part‑time 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 will balance quality assurance, research, and logical problem‑solving. This 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, logic competitions, case solving, or systems thinking, you might be a great fit.

What You’ll Be Doing

• Review evaluation tasks and scenarios for logic, completeness, and realism
• Identify inconsistencies, missing assumptions, or unclear decision points
• Help define clear expected behaviours (gold standards) for AI agents
• Annotate cause‑effect relationships, reasoning paths, and plausible alternatives
• Think through complex systems and policies as a human would to ensure agents are tested properly
• Work 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: reason about complex systems, scenarios, and logical implications
• Strong attention to detail: spot contradictions, ambiguities, and vague requirements
• Familiarity with structured data formats: read, not necessarily write JSON/YAML
• Ability to assess scenarios holistically: identify what’s missing, unrealistic, or breaking
• 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 (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 up to $60/hour depending on skills, experience, and project needs
• Take part in a flexible, remote, freelance project that fits around 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