
Evaluation Scenario Writer - AI Agent Testing Specialist
Mindrift • Pune, Maharashtra, India
Salary: $12 / hour
Role & seniority: Experienced software developer/test automation specialist; project-based, part-time (non-permanent).
Stack/tools: Python (pytest, async/await, subprocess, file I/O); Full-Stack with React; Docker; CI/CD (GitHub Actions); experience running evaluations in containers.
Top 3 responsibilities
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Create challenging coding test cases and write comprehensive functional/integration tests based on production codebases.
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Review/refine tasks to ensure realistic scope and end-to-end coverage; craft fair but hard challenges with dispersed context.
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Analyze AI failures, iterate using feedback from expert QA reviewers across quality criteria.
Must-have skills
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5+ years in software development; strong Python background
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Full-Stack experience (React front-end & robust back-end)
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Experience writing functional/integration tests
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Docker container experience; running evaluations locally
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CI/CD understanding (GitHub Actions); English proficiency B2
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Degree in Computer Science, Software Engineering, or related field
Nice-to-haves
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Background in AI/testing AI systems
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deeper pytest expertise and asynchronous programming
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Location & work type: Location not specified; project-based, part-time, not permanent employment. Requires CV in English with stated English level.
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 $12/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.