Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift; Australia; Remote; AUD 41,328 - 61,992; Part time

Benefits offered by this job

Flexible project work hours

Rates up to $45/hour

Experience with advanced AI projects

Job summary

A forward-thinking AI company is seeking an entry-level QA Analyst to design evaluation scenarios for AI-based agents. This part-time, flexible remote opportunity involves creating structured test cases, defining gold-standard behavior, and analyzing agent logs. Applicants should have a relevant degree and a keen analytical mindset. The rate can reach up to $45/hour, making it ideal for those looking to influence the future of AI while working around existing commitments.

Qualifications

• Bachelor's and/or Master's Degree in related fields.
• Experience in software testing or data analysis.
• Good understanding of test design principles.

Responsibilities

• Create structured test cases for complex workflows.
• Analyze agent logs and decision paths.
• Ensure scenarios are production-ready and reusable.

Skills

Analytical mindset

Attention to detail

Strong written communication in English

Basic experience with Python

Basic experience with JavaScript

Education

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

Background in QA or data analysis

Tools

JSON

YAML

Job description

2 days ago Be among the first 25 applicants

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
• 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

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

• 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

Seniority Level

• Entry level

Employment Type

• Part‑time

Job Function

• Other

Industries

• IT Services and IT Consulting