
Evaluation Scenario Writer - AI Agent Testing Specialist
Mindrift • Ahmedabad, Gujarat, India
Salary: $12 / hour
Role & seniority
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Experienced contributor (senior-level) for project-based work
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Open to developers, software engineers, and test automation specialists
Stack/tools
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Python (pytest, async/await, subprocess, file operations)
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Full-Stack: React-based frontend + robust backend systems
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Docker (local evaluation in containers)
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CI/CD (GitHub Actions)
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English proficiency: B2
Top 3 responsibilities
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Create challenging coding test cases that stress AI coding systems
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Review/refine realistic tasks based on production codebases; write comprehensive functional tests
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Craft fair but hard challenges with full context; analyze AI failures and iterate from expert QA feedback
Must-have skills
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Degree in Computer Science, Software Engineering, or related field
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5+ years in software development, primarily Python
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Full-Stack background with React frontend + strong backend
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Experience writing functional and integration tests
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Docker experience for local evaluations
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CI/CD understanding (GitHub Actions usage)
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English proficiency at B2
Nice-to-haves
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Experience evaluating AI systems or working with QA reviewers
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Familiarity with complex reasoning tasks and end-to-end validation
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Prior exposure to project-based or non-permanent contract work
Location & work type
Location: not specified
Work type: part-time, project-based, non-permanent/contract; remote is not explicitly stated
Typical effort: ~20 hours per project, flexible timing; payment per project or rate (up to
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