Quality Assurance for autonomous AI agents - AI Trainer

Mindrift; United Kingdom; Remote; GBP 60,000 - 80,000; Part time

Job summary

A leading technology firm in the UK is seeking Quality Assurance contributors for autonomous AI agents. This flexible, project-based role involves validating complex task structures and evaluating agent performance. Ideal candidates possess strong analytical thinking, attention to detail, and effective communication skills. This opportunity allows you to work remotely and adapt your schedule while contributing to an advanced AI project.

Benefits

Up to $44/hour based on experience

Flexible freelance work

Opportunity to influence AI development

Qualifications

• Ability to reason about complex systems and logical implications.
• Skill in spotting contradictions and ambiguities.
• Good communication and clear writing in English.

Responsibilities

• Review evaluation tasks for logic and completeness.
• Identify inconsistencies and missing assumptions.
• Help define clear expected behaviors for AI agents.

Skills

Analytical thinking

Attention to detail

Communication

Job description

Overview

Quality Assurance for autonomous AI agents - AI Trainer

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 looking for 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, this project is for you.

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 are seeking QAs for autonomous AI agents on 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, examining systems holistically and considering scenarios, implications, and edge cases. No coding background is required, but you must be curious, rigorous, and capable of evaluating the soundness and consistency of complex setups. If you have excelled in consulting, CHGK, Olympiads, case solving, or systems thinking, you may 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 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: ability to spot contradictions, ambiguities, and vague requirements
• Familiarity with structured data formats: ability to read JSON/YAML but not necessarily write them
• Ability to assess scenarios holistically: identify missing elements, unrealistic aspects, and potential failure modes
• 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”)
• Understanding of scoring or evaluation in agent testing (precision, coverage, etc.)

Benefits

• Get paid for your expertise, with rates up to $44/hour depending on skills, experience, and project needs
• Flexible, remote, freelance project that fits around other commitments
• Participate in an advanced AI project and gain valuable experience to add to your portfolio
• Influence how future AI models understand and communicate in your field

EEO note: Referrals may increase your chances of interviewing.