FreelanceAgentEvaluationEngineer

_Please submit your CV in English and indicate your level of English proficiency._ Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. ### **What this opportunity involves** We're building a dataset to evaluate AI coding agents — how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments: * Build virtual companies following a high-level plan - codebase, infrastructure, and context (conversations, documentation, tickets) that form a realistic environment with development history * Assemble and calibrate tasks from intermediate states of the virtual company: craft the prompt, define evaluation criteria, and ensure the task is solvable and the evaluation is fair * Design tasks set in isolated environments - emulations of a developer's workstation: a Linux machine with development tools (terminal, CLI), MCP servers (repository, task tracker, messenger, documentation, etc.), and a real web application codebase * Write tests that accept all correct solutions and reject incorrect ones - neither too strict (breaking on valid approaches) nor too lenient (passing bad ones) * Iterate with an AI agent on tests - verifying they catch real problems, don't miss bad solutions, and don't break on good ones * Review code written by agents, analyze why an agent failed or succeeded, and design edge cases and adversarial scenarios * Iterate based on feedback from expert QA reviewers who score your work on quality criteria **What this is NOT** * Not data labeling * Not prompt engineering * Not writing code from scratch - the agent writes most of the code; you guide and evaluate A significant part of the work is done together with AI - it's very hard to create tasks that challenge frontier models without using frontier models. ### **What we look