AI Agent Evaluation Analyst
AI Agent Evaluation Analyst

AI Agent Evaluation Analyst

Freelance Home office (partial)
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At a Glance

  • Tasks: Review and evaluate AI agents, ensuring logical consistency and clarity in complex scenarios.
  • Company: Mindrift, a leader in ethical AI innovation and collaboration.
  • Benefits: Earn up to $44/hour, enjoy flexible remote work, and enhance your portfolio.
  • Why this job: Shape the future of AI while working on exciting, real-world projects.
  • Qualifications: Strong analytical skills, attention to detail, and good communication in English.
  • Other info: Ideal for curious students or analysts seeking part-time, intellectually stimulating work.
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.

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’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 $44/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

Seniority Level

Internship

Employment Type

Part‑time

Job Function

Other

Industries

IT Services and IT Consulting

Location: London, England, United Kingdom

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AI Agent Evaluation Analyst employer: Mindrift

At Mindrift, we pride ourselves on fostering a culture of innovation and collaboration, where your contributions directly shape the future of AI. With flexible, remote work options and competitive pay rates, we offer an environment that values intellectual curiosity and critical thinking, making it an ideal place for analysts and researchers looking to grow their skills while working on cutting-edge projects. Join us in London and be part of a team that not only values your expertise but also encourages you to explore and expand your professional horizons.
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Contact Detail:

Mindrift Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Agent Evaluation Analyst

✨Tip Number 1

Network like a pro! Reach out to people in the AI and tech space, especially those who work at Mindrift or similar companies. A friendly chat can open doors and give you insights that a job description just can't.

✨Tip Number 2

Prepare for interviews by diving deep into AI concepts and the specific projects Mindrift is involved in. Show us your curiosity and critical thinking skills by asking thoughtful questions during your interview.

✨Tip Number 3

Don’t just apply; engage with our community! Join discussions on platforms where AI enthusiasts hang out. This not only boosts your visibility but also shows your passion for the field.

✨Tip Number 4

When you apply through our website, make sure to highlight your analytical skills and any relevant experience. Tailor your application to reflect how you can contribute to evaluating AI agents effectively.

We think you need these skills to ace AI Agent Evaluation Analyst

Analytical Thinking
Attention to Detail
Familiarity with Structured Data Formats
Holistic Scenario Assessment
Communication Skills
Experience with Policy Evaluation
Logic Puzzles
Case Studies
Background in Consulting
Exposure to LLMs
Prompt Engineering
Familiarity with QA or Test-Case Thinking
Understanding of Scoring in Agent Testing

Some tips for your application 🫡

Tailor Your Resume: Make sure your resume is tailored to the AI Agent Evaluation Analyst role. Highlight relevant skills and experiences that align with the job description, especially your analytical thinking and attention to detail.

Show Off Your English Skills: Since we need your resume in English, don’t forget to indicate your level of English proficiency. This helps us understand your communication skills right from the start!

Be Curious and Proactive: In your application, showcase your curiosity and critical-thinking abilities. Mention any experiences where you’ve had to double-check assumptions or tackle complex problems—this is what we’re looking for!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into our hands quickly and efficiently!

How to prepare for a job interview at Mindrift

✨Know Your Stuff

Before the interview, dive deep into the world of AI and the specific role of an AI Agent Evaluation Analyst. Familiarise yourself with concepts like evaluation frameworks, logical problem-solving, and the importance of quality assurance in AI. This will not only help you answer questions confidently but also show your genuine interest in the field.

✨Show Off Your Critical Thinking

Since the role requires strong analytical skills, be prepared to discuss examples from your past experiences where you've had to think critically or solve complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process.

✨Ask Thoughtful Questions

Interviews are a two-way street! Prepare some insightful questions about the project, the team dynamics, or how they approach ambiguity in AI evaluation. This shows that you're not just interested in the job, but also in how you can contribute to their mission.

✨Communicate Clearly

Since good communication is key for this role, practice articulating your thoughts clearly and concisely. Whether it's discussing your findings or explaining complex scenarios, being able to convey your ideas effectively will set you apart from other candidates.

AI Agent Evaluation Analyst
Mindrift

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