Question
PART_TIME
Remote
5-10

Freelance Agent Evaluation Engineer

2/22/2026

The role involves creating challenging coding test cases to push AI coding systems to their limits by reviewing and refining realistic coding tasks based on production codebases. Responsibilities also include writing comprehensive functional tests, crafting difficult challenges, analyzing AI failures, and iterating based on expert QA reviewer feedback.

Working Hours

20 hours/week

Company Size

501-1,000 employees

Language

English

Visa Sponsorship

No

About The Company
Welcome to Mindrift — a space where innovation meets opportunity. We’re a pioneering platform dedicated to advancing the field of artificial intelligence through collaborative online projects. Our focus lies in creating data for generative AI, offering a unique chance for freelancers to contribute to AI development from anywhere, at any time. At Mindrift, we believe in the power of collective intelligence to shape the future of AI. Our platform allows users to dive into a variety of tasks — ranging from creating training prompts for AI models to refining AI responses for greater relevance. Let’s build the future of AI together, one task at a time.
About the Role

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.

Key Skills
PythonPytestAsync/AwaitSubprocessFile OperationsFull-Stack DevelopmentReactBack-end SystemsFunctional TestingIntegration TestingDockerCI/CDGitHub ActionsAI EvaluationTest Case Creation
Categories
TechnologySoftwareEngineeringData & Analytics
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