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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Mindrift • Buenos Aires, Argentina
Salary: $17 / hour
Role & seniority: Experienced software developers, software engineers, and/or test automation specialists; part-time, project-based (non-permanent).
Stack/tools: Python (pytest, async/await, subprocess, file operations); full-stack with React front-end and robust back-end; Docker (local evaluations); CI/CD (GitHub Actions).
Design and refine challenging coding test cases and review tasks based on production-like codebases.
Write comprehensive functional tests ensuring end-to-end behavior and edge cases.
Analyze AI failures, identify gaps, and iterate based on feedback from expert QA reviewers.
5+ years in software development; strong Python experience.
Full-Stack background with React front-end and solid back-end skills.
Proven testing experience (functional, integration).
Docker proficiency and ability to run evaluations in containers.
CI/CD understanding (GitHub Actions) and ability to interpret results.
English proficiency at B2 level.
Experience with production-quality codebases and realistic task scoping.
Familiarity with asynchronous programming and complex file/URL-based data flows.
Prior exposure to AI/ML evaluation or QA workflows beyond basic testing.
Location & work type: Distributed/remote opportunities; variable projects; approximately 20 hours per project; payment varies by project with rates up to $17/hour plus possible incentives.
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 isproject-based, not permanent employment.
What This Opportunity Involves
Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checks Craft "fair but hard" challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required) Analyze AI failures to understand what the model struggles with vs. what it masters Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteria
What We Look For
Degree in Computer Science, Software Engineering or related fields 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations) Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systems Experience writing tests (functional, integration - not just running them) Docker containers (running evaluations locally in containers)
CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) English proficiency - B2
How It Works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Effort estimate
Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
Payment
Paid contributions, with rates up to $17/hour* Fixed project rate or individual rates, depending on the project Some projects include incentive payments
Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project