Role & seniority: Experienced software engineers/test automation specialists; part-time, non-permanent project-based work (5+ years most relevant).

Stack/tools

Languages: Python (pytest, async/await, subprocess, file operations)
Front-end: React
Containerization/CI: Docker; GitHub Actions
Testing: Functional and integration testing; working with production codebases
Other: Familiarity with CI/CD workflows and evaluating AI-related tasks

Top 3 responsibilities

Design, review, and refine challenging coding test cases based on realistic production codebases
Write comprehensive end-to-end functional tests and edge-case validation
Analyze AI system failures, determine gaps, and iterate improvements based on expert QA feedback

Must-have skills

5+ years in software development; strong Python background (pytest, async/await, subprocess, file I/O)
Full-Stack experience with React frontend and robust backend systems
Proven experience writing functional and integration tests
Docker experience (local evaluation in containers)
CI/CD understanding (GitHub Actions usage and results interpretation)
English proficiency at level B2 or higher
Degree in Computer Science, Software Engineering, or related field

Nice-to-haves

Experience evaluating AI systems or behavior in testing contexts
Deep familiarity with production-grade test environments and complex reasoning tasks
Additional backend/devops tooling exp

Full Description

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

You'll create challenging coding test cases that push AI coding systems to their limits

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

This opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have

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 $45/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

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