AI Agent Evaluation Analyst

Mindrift; Quebec; Remote; CAD 60,000 - 80,000; Part time

Job summary

A leading AI research organization based in Quebec is looking for QA contributors to validate and enhance autonomous AI agents. The ideal candidate should possess excellent analytical skills and attention to detail. This flexible, remote opportunity allows you to work on meaningful AI projects while managing your own schedule. Competitive pay up to $38/hour based on experience and skills.

Benefits

Flexible work schedule

Competitive pay

Remote work opportunity

Valuable experience in AI projects

Qualifications

• Excellent analytical thinking skills are required to reason about complex systems.
• Strong attention to detail is necessary to spot contradictions and ambiguities.
• Good communication skills in English for documenting findings.

Responsibilities

• Review evaluation tasks for logic, completeness, and realism.
• Identify inconsistencies and unclear decision points.
• Help define clear expected behaviors for AI agents.
• Annotate cause‑effect relationships and reasoning paths.
• Think through complex systems to ensure proper testing of agents.
• Work with QA and developers to suggest refinements.

Skills

Analytical thinking

Attention to detail

Clear communication

Job description

What We Do

At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.

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’ll have to 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.

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

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 $38/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