
Evaluation Scenario Writer - AI Agent Testing Specialist
Mindrift • Philippines
Salary: $12 / hour
Role & seniority: Experienced software engineer / test automation specialist (part-time, project-based)
Stack/tools: Python (pytest, async/await, subprocess, file operations); Full-Stack (React frontend + robust backend); Docker; CI/CD (GitHub Actions)
Top 3 responsibilities
-
Create challenging coding test cases and refine tasks based on production-like codebases
-
Write comprehensive functional tests (end-to-end and edge cases) and validate actual behavior
-
Analyze AI failures, iterate on tasks from feedback by expert QA reviewers, and ensure quality across seven criteria
Must-have skills
-
5+ years in software development, primarily Python
-
Strong Full-Stack background (React frontend + backend)
-
Experience writing functional and integration tests (not just running tests)
-
Docker (run evaluations locally in containers)
-
CI/CD understanding with GitHub Actions
-
English proficiency at B2 level
Nice-to-haves
-
Experience testing AI systems or evaluating AI model failures
-
Formal CS/Software Engineering degree (or related)
-
Familiarity with realistic production codebases and integration testing logistics
Location & work type
-
Location: Not specified; project-based opportunities; likely remote
-
Work type: Part-time, non-permanent projects; 20-hour task estimates (adjustable) with deadlines and acceptance criteria
Notes
-
Submit CV in English and indicate English proficiency
-
Compensation: paid contributions; rates up
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.