Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift; Houston (TX); Remote; USD 90,921 - 129,494; Part time

Benefits offered by this job

Get paid for your expertise

Flexible work schedule

Opportunity to work on advanced AI projects

Job summary

A leading AI consultancy is seeking a detail-oriented individual to design evaluation scenarios for LLM-based agents. This part-time, remote role allows you to create structured test cases while working flexibly around your commitments. The ideal candidate holds a relevant degree and has experience in QA or data analysis, with a strong command of English. Compensation can go up to $80/hour depending on skills and project needs, offering an excellent opportunity to contribute to advanced AI projects.

Qualifications

• Bachelor's or Master's in a relevant field.
• Background in QA, software testing, or data analysis.
• Good understanding of test design principles.
• Strong written communication skills in English.
• Familiarity with structured formats like JSON/YAML.
• Can define expected agent behaviors.
• Basic experience with Python and JavaScript.

Responsibilities

• Create structured test cases that simulate complex human workflows.
• Define gold‑standard behavior and scoring logic.
• Analyze agent logs and decision paths.
• Work with test frameworks to validate scenarios.
• Ensure scenarios are production‑ready and reusable.

Skills

Analytical mindset

Attention to detail

Written communication

Experience with JSON/YAML

Basic experience in Python

Basic experience in JavaScript

Curiosity about AI

Education

Bachelor's or Master's Degree in Computer Science, Software Engineering, Data Science, or related fields

Job description

Eligibility

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.

About Mindrift

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

Our platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

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.

Typical responsibilities include:

• 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

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 JavaScript
• Curious and open to working with AI‑generated content, agent logs, and prompt‑based behavior

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. This opportunity allows you to:

• Get paid for your expertise, with rates that can go up to $80/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