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.

What We Do
The Mindrift 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.

Responsibilities

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

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

Positive 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

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 $45/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

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📌 Freelance AI Evaluation Scenario Writer (Alberta)
🏢 Mindrift
📍 Alberta