Freelance AI Evaluation Scenario Writer

Mindrift; India; Remote; INR 1,239,963 - 1,487,956; Part time

Benefits offered by this job

Flexible remote work

Competitive pay based on expertise

Experience in advanced AI projects

Job summary

A technology company is seeking an entry-level candidate to design structured evaluation scenarios for LLM-based agents. The role involves creating test cases, analyzing agent decisions, and ensuring clarity in testing. Candidates should have a relevant degree, strong communication skills, and some familiarity with Python and JSON. This part-time position offers flexible remote work, with compensation up to $12/hour based on expertise and effort, allowing you to contribute to advanced AI projects while balancing other commitments.

Qualifications

• Bachelor's and/or Master's Degree in a relevant field.
• Background in QA, software testing, or data analysis.
• Good understanding of test design principles.
• Basic experience with Python and JS.

Responsibilities

• Create structured test cases that simulate complex workflows.
• Define gold-standard behavior and scoring logic.
• Analyze agent logs and decision paths.
• Work with code repositories and test frameworks.

Skills

Analytical mindset

Attention to detail

Strong written communication skills in English

Curiosity about AI-generated content

Education

Bachelor's or Master's Degree in Computer Science

Degree in Software Engineering

Degree in Data Science or Data Analytics

Degree in Artificial Intelligence or Machine Learning

Degree in Computational Linguistics or NLP

Degree in Information Systems

Tools

Python

JavaScript

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.

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.

Although every project is unique, you might typically:

• 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 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 $12/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