Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift; United States; Remote; USD 50,000 - 83,000; Full time

Job summary

Mindrift connects specialists with project-based AI opportunities for testing, evaluating, and improving AI systems. You’ll design tasks within realistic simulated environments and write tests that validate multiple correct solutions.

This freelance, remote role requires 5+ years in software development and a core stack of Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis, plus QA/testing experience. English proficiency (B2+) is required.

Qualifications

• 5+ years in software development.
• Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis.
• Experience writing tests (functional, integration).
• English proficiency - B2+.

Skills

Software development

English proficiency

QA/testing experience

Test design

Education

Master's degree in CS/SE/AI

Bachelor's + 5 years experience

Tools

Python (FastAPI)

JavaScript/TypeScript (React)

Docker

Postgres

Kafka

Redis

Job 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. We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments:

• Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
• Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent
• Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient
• Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust

What this is NOT:

• Not data labeling
• Not prompt engineering
• Not writing code from scratch - the agent writes most of the code; you guide and evaluate

What we look for:

• 5+ years in software development
• Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis
• Experience writing tests (functional, integration)
• English proficiency - B2+

Why this is hard:

Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.

Requirements and benefits

Educational qualifications

• A Master's Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.
• Bachelor's degree is accepted if only candidate has 5 years of experience in the field.

Academic and/or Professional Experience

Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles

How it works

Compensation: Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $60/hr . Because payment is per task, a faster pace raises your effective hourly rate.

Why this freelance opportunity might be a great fit for you?

• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
• Work on advanced AI projects and gain valuable experience that enhances your portfolio.
• - Influence how future AI models understand and communicate in your field of expertise.

Originally posted on Himalayas