Quality Assurance for AI Agent Evaluation Analyst - AI Trainer

Mindrift; España; A distancia; EUR 30.000 - 50.000; A tiempo parcial

Descripción de la vacante

A tech company is seeking QA professionals for AI agents on a flexible, remote basis. Candidates should possess strong analytical thinking and attention to detail, with a focus on validating and enhancing AI evaluation frameworks. This role offers competitive hourly rates and the opportunity to work on innovative AI projects while fitting around your existing commitments.

Servicios

Competitive hourly rates

Flexible, remote work

Valuable experience in advanced AI projects

Formación

• Excellent analytical thinking about complex systems and scenarios.
• Strong attention to detail to spot contradictions and ambiguities.
• Familiarity with structured data formats like JSON or YAML.
• Ability to assess scenarios holistically.
• Good communication skills in English for documentation.

Responsabilidades

• Review evaluation tasks for logic and completeness.
• Identify inconsistencies and unclear decision points.
• Define expected behaviors for AI agents.
• Annotate cause-effect relationships.
• Work with QA and developers to refine processes.

Conocimientos

Analytical thinking

Attention to detail

Logical reasoning

Good communication

Descripción del empleo

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.

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.
• Can 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 $29 / 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.