Evaluation Scenario Writer - AI Agent Testing Specialist en Mindrift

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 is project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may:

• Create structured test cases that simulate complex human workflows
• Define gold-standard behavior and scoring logic to evaluate agent actions
• Analyze agent logs, failure modes, and decision paths
• Work with code repositories and test frameworks to validate your scenarios
• Iterate on prompts, instructions, and test cases to improve clarity and difficulty
• Ensure that scenarios are production-ready, easy to run, and reusable

What we look for

This opportunity is a good fit for software engineers, open to part-time, non-permanent projects. Ideally, contributors will have: 

• 3+ of software development experience with strong Python focus
• Experience with Git and code repositories
• Comfortable with structured formats like JSON/YAML for scenario description
• Understanding core LLM limitations (hallucinations, bias, context limits) and how these affect evaluation design
• Familiarity with Docker
• English proficiency - B2

How it works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project time expectations

Tasks for this project are estimated to take 6-10 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.