Pp3 days ago Be among the first 25 applicants /p bThis 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. /b pAt Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI. /p h3What We Do /h3 pThe 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. /p h3About The Role /h3 pWe're looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You'll create test cases that simulate human-performed tasks and define gold‑standard behavior to compare agent actions against. You'll work to ensure each scenario is clearly defined, well‑scored, and easy to execute and reuse. You'll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions. /p h3Responsibilities /h3 ul liDesign structured test scenarios based on real‑world tasks /li liDefine the golden path and acceptable agent behavior /li liAnnotate task steps, expected outputs, and edge cases /li liWork with devs to test your scenarios and improve clarity /li liReview agent outputs and adapt tests accordingly /li /ul h3How To Get Started /h3 pSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. /p h3Requirements /h3 ul liBachelor's and/or Master's Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields. /li liBackground in QA, software testing, data analysis, or NLP annotation /li liGood understanding of test design principles (e.g., reproducibility, coverage, edge cases) /li liStrong written communication skills in English /li liComfortable with structured formats like JSON/YAML for scenario description /li liCan define expected agent behaviors (gold paths) and scoring logic /li liBasic experience with Python and JS /li liCurious and open to working with AI‑generated content, agent logs, and prompt‑based behavior /li liReady to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines /li liFreelance role is fully remote; you just need a laptop, internet connection, time available, and enthusiasm to take on a challenge /li /ul h3Nice to Have /h3 ul liExperience in writing manual or automated test cases /li liFamiliarity with LLM capabilities and typical failure modes /li liUnderstanding of scoring metrics (precision, recall, coverage, reward functions) /li /ul h3Benefits /h3 ul liGet paid for your expertise, with rates that can go up to $32/hour depending on your skills, experience, and project needs /li liTake part in a flexible, remote, freelance project that fits around your primary professional or academic commitments /li liParticipate in an advanced AI project and gain valuable experience to enhance your portfolio /li liInfluence how future AI models understand and communicate in your field of expertise /li /ul h3Seniority level /h3 pEntry level /p h3Employment type /h3 pPart‑time /p h3Job function /h3 pOther /p h3Industries /h3 pIT Services and IT Consulting /p /p #J-18808-Ljbffr