Role & seniority: Experienced software developers, test automation specialists, or QA engineers; project-based, non-permanent work.

Stack/tools

Python (pytest, async/await, subprocess, file operations)
Full-Stack: React front-end with robust back-end systems
Docker (local container evaluations)
CI/CD: GitHub Actions
Testing: functional and integration tests

Top 3 responsibilities

Create challenging coding test cases and refine tasks based on production codebases
Write comprehensive functional tests validating end-to-end behavior and edge cases
Analyze AI failures, identify gaps, and iterate tasks based on expert QA feedback (7 quality criteria)

Must-have skills

Degree in Computer Science, Software Engineering, or related field
5+ years in software development, primarily Python
Full-Stack experience (React front-end + robust back-end)
Proven experience writing functional and integration tests
Docker container experience for local evaluations
CI/CD understanding (GitHub Actions)
English proficiency at B2 or higher

Nice-to-haves

Prior experience on part-time/project-based engagements
Background in test automation and QA review processes
Familiarity with AI evaluation/validation workflows

Location & work type

Remote/project-based work; 20-hour task estimates per project, flexible schedule; payment varies by project, with rates up to $17/hour plus potential incentives.

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 $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.

Evaluation Scenario Writer - AI Agent Testing Specialist