Job Details

Overview

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

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.

Responsibilities

• Review evaluation tasks and scenarios for logic, completeness, and realism
• Identify inconsistencies, missing assumptions, or unclear decision points
• Help define clear expected behaviors (gold standards) for AI agents
• Annotate cause?effect relationships, reasoning paths, and plausible alternatives
• Think through complex systems and policies as a human would to ensure agents are tested properly
• Work closely with QA, writers, or developers to suggest refinements or edge case coverage

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