Role & seniority: Experienced 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 background (React frontend + robust backend); Docker; CI/CD (GitHub Actions); functional/integration testing.

Top 3 responsibilities

Create challenging coding test cases to push AI coding systems to their limits; review/refine tasks based on production codebases.
Write comprehensive functional tests that validate end-to-end behavior and edge cases.
Analyze AI failures, iterate based on expert QA feedback across 7 quality criteria.

Must-have skills

5+ years in software development; strong Python expertise.
Full-Stack experience (React frontend + robust backend).
Experience writing functional and integration tests.
Docker (local evaluation in containers) and CI/CD understanding (GitHub Actions).
English proficiency at B2 level.

Nice-to-haves

Background in test automation and AI/ML evaluation scenarios.
Familiarity with realistic production codebases and cross-file/external-source reasoning.

Location & work type: Flexible location (not specified); remote-friendly; payment terms include hourly up to $50/hour or fixed/project-based rates; tasks are estimated around 20 hours, with project-based payment and 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 $50/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