Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift; Kentucky; Remote; USD 68,191 - 97,120; Part time

Benefits offered by this job

Flexible schedule

Competitive hourly pay up to $60

Remote work opportunity

Experience with advanced AI projects

Job summary

A forward-thinking technology company is looking for a detail-oriented individual to design structured evaluation scenarios for AI agents. This entry-level part-time role allows you to contribute remotely, creating test cases for LLM-based agents. The ideal candidate will have a background in Computer Science and some experience with software testing. Flexibility is key as you engage with innovative AI projects while working at your own pace.

Qualifications

• Degree in Computer Science, Software Engineering, Data Science, AI, or similar.
• Background in QA, software testing, data analysis, or annotation.
• Ability to switch between tasks quickly and work with complex guidelines.

Responsibilities

• Design structured test scenarios based on real-world tasks.
• Define acceptable agent behavior and scoring logic.
• Review agent outputs and adapt tests accordingly.

Skills

Analytical mindset

Attention to detail

Good understanding of test design principles

Strong written communication skills

Basic experience with Python

Basic experience with JavaScript

Curiosity about AI-generated content

Education

Bachelor's or Master's Degree in Computer Science or related fields

Tools

JSON

YAML

Job description

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.

At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.

About The Role

We're looking for someone who can design realistic and structured evaluation scenarios for LLM-based agents. You'll create test cases that simulate human-performed tasks and define gold‑standard behavior to compare agent actions against. You'll work to ensure each scenario is clearly defined, well‑scored, and easy to execute and reuse. You'll need a sharp analytical mindset, attention to detail, and an interest in how AI agents make decisions.

Responsibilities

• Design structured test scenarios based on real‑world tasks
• Define the golden path and acceptable agent behavior
• Annotate task steps, expected outputs, and edge cases
• Work with devs to test your scenarios and improve clarity
• Review agent outputs and adapt tests accordingly

How To Get Started

Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone.

Requirements

• Bachelor's and/or 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.
• Background in QA, software testing, data analysis, or NLP annotation
• Good understanding of test design principles (e.g., reproducibility, coverage, edge cases)
• Strong written communication skills in English
• Comfortable with structured formats like JSON/YAML for scenario description
• Can define expected agent behaviors (gold paths) and scoring logic
• Basic experience with Python and JS
• Curious and open to working with AI‑generated content, agent logs, and prompt‑based behavior
• Ready to learn new methods, able to switch between tasks and topics quickly, and work with challenging, complex guidelines
• Our freelance role is fully remote so you just need a laptop, internet connection, time available, and enthusiasm to take on a challenge.

Nice to Have

• Experience in writing manual or automated test cases
• Familiarity with LLM capabilities and typical failure modes
• Understanding of scoring metrics (precision, recall, coverage, reward functions)

Benefits

• Contribute on your own schedule, from anywhere in the world
• Get paid for your expertise, with rates that can go up to $60/hour depending on your skills, experience, and project needs
• Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments
• Participate in an advanced AI project and gain valuable experience to enhance your portfolio
• Influence how future AI models understand and communicate in your field of expertise

Seniority level

Entry level

Employment type

Part‑time

Job function

Other

Industries

IT Services and IT Consulting