Role & seniority: Software engineer, contributor; part-time, non-permanent, project-based (remote-friendly)

Stack/tools: Python; Git and code repositories; JSON/YAML for scenario descriptions; Docker; familiarity with test frameworks

Top 3 responsibilities

Create structured test cases and define gold-standard behavior and scoring logic
Analyze agent logs, failure modes, and decision paths; iterate on prompts, instructions, and test cases
Ensure scenarios are production-ready, easy to run, and reusable; validate against code repositories and test frameworks

Must-have skills

3+ years software development experience with strong Python focus
Experience with Git and code repositories
Proficiency with JSON/YAML for scenario description
Understanding of core LLM limitations (hallucinations, bias, context limits) and how they affect evaluation design
Familiarity with Docker
English proficiency: B2

Nice-to-haves

Experience with testing frameworks
Prior participation in AI evaluation or testing projects
Ability to work across multiple projects and manage time independently

Location & work type: Remote/any location; project-based payments with rates up to $24/hour (vary by project); includes possible fixed project rates and incentive payments

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 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 $24/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 Show more Show less