
Evaluation Scenario Writer - AI Agent Testing Specialist
Mindrift • Austria
Salary: $50 / hour
Role & seniority: Experienced software developers, software engineers, and/or test automation specialists; senior/experienced level sought for part-time, project-based work.
Stack/tools: Python (pytest, async/await, subprocess, file operations), full-stack background (React frontend + robust backend), Docker (local evaluations), CI/CD (GitHub Actions). Experience with functional and integration testing.
Top 3 responsibilities
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Create challenging coding test cases that stress AI coding systems against realistic production-style codebases.
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Write comprehensive functional tests validating end-to-end behavior and edge cases.
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Review/refine tasks, analyze AI failures, and iterate based on expert QA feedback across 7 quality criteria.
Must-have skills
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5+ years in software development; strong Python expertise.
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Full-Stack experience with React front-end and solid back-end systems.
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Experience writing functional and integration tests (not just test execution).
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Docker proficiency; ability to run evaluations in containers.
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CI/CD familiarity (GitHub Actions); English proficiency at B2.
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Degree in Computer Science, Software Engineering, or related field.
Nice-to-haves
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Prior work in test automation and AI/ML evaluation contexts.
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Ability to review and refine realistic coding tasks from production codebases.
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Strong analytical skills to distinguish model strengths/weaknesses.
Location & work type
- Remote-friendly, part-time, n
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