Mindrift
Overview
At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.
Our 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.
Project Details We are looking for QA experts to support a project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks for autonomous AI agents. This role involves balancing quality assurance, research, and logical problem‑solving, and is ideal for those who enjoy taking a holistic view of systems and thinking through scenarios, implications, and edge cases.
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.
Collaborate with QA, writers, or developers to suggest refinements or edge‑case coverage.
How to Get Started Apply to this post, qualify, and you will have 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 – reason about complex systems, scenarios, and logical implications.
Strong attention to detail – spot contradictions, ambiguities, and vague requirements.
Familiarity with structured data formats – read (not necessarily write) JSON/YAML.
Ability to assess scenarios holistically: determine what’s missing, unrealistic, or potentially problematic.
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 (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 up to $80/hour depending on your skills, experience, and project needs.
Participate 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.
#J-18808-Ljbffr
Our 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.
Project Details We are looking for QA experts to support a project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks for autonomous AI agents. This role involves balancing quality assurance, research, and logical problem‑solving, and is ideal for those who enjoy taking a holistic view of systems and thinking through scenarios, implications, and edge cases.
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.
Collaborate with QA, writers, or developers to suggest refinements or edge‑case coverage.
How to Get Started Apply to this post, qualify, and you will have 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 – reason about complex systems, scenarios, and logical implications.
Strong attention to detail – spot contradictions, ambiguities, and vague requirements.
Familiarity with structured data formats – read (not necessarily write) JSON/YAML.
Ability to assess scenarios holistically: determine what’s missing, unrealistic, or potentially problematic.
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 (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 up to $80/hour depending on your skills, experience, and project needs.
Participate 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.
#J-18808-Ljbffr