AI Agent Evaluation Analyst

Mindrift

South Carolina

Remote

USD 62,508 - 89,027

Part time

14 days+

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Benefits offered by this job

Flexible schedule

Experience in AI projects

Competitive pay

Job summary

A cutting-edge technology firm is seeking analysts and researchers for a part-time opportunity focused on evaluating AI systems. This remote role pays up to $55/hour, allowing flexibility to fit around other commitments. Ideal candidates possess strong analytical skills and a firm grasp of structured data formats. Applicants with experience in consulting, logic puzzles, or research are encouraged to apply.

Qualifications

Strong critical thinking skills required.
Ability to reason about complex systems and logical implications.
Familiarity with structured data formats.

Responsibilities

Review evaluation tasks for logic and completeness.
Identify inconsistencies and missing assumptions.
Help define gold standards for AI agents.

Skills

Analytical thinking

Attention to detail

Good communication skills

Tools

JSON

YAML

Job description

Overview

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. This opportunity is a flexible, project-based role well-suited for individuals who enjoy critical thinking and rigorous evaluation of AI systems.

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.

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 as a human would to ensure agents are tested properly
Working closely with QA, writers, or developers to suggest refinements or edge case coverage

Who we’re looking 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’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 ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.

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: Can 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: What’s missing, what’s unrealistic, what might break?
Good communication and clear writing (in English) to document your 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 $55/hour depending on your 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

Details