Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift; Roma; Remoto; EUR 29.641 - 37.940; Part-time

Vantaggi offerti da questo lavoro

Flexible, remote freelance project

Competitive rates up to $32/hour

Valuable experience for your portfolio

Descrizione del lavoro

A leading AI consulting firm is seeking an entry-level candidate to design and evaluate structured scenarios for AI agents. The role requires a degree in computer science and offers flexible remote work. The ideal candidate will have strong analytical skills, attention to detail, and an interest in AI technologies. Compensation is up to $32/hour based on skills and experience.

Competenze

• Bachelor's and/or Master's Degree in Computer Science, Software Engineering, or related fields.
• Good understanding of test design principles.
• Comfortable with structured formats like JSON/YAML.

Mansioni

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

Conoscenze

Analytical mindset

Attention to detail

Strong written communication skills in English

Curiosity about AI-generated content

Formazione

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

Strumenti

Python

JavaScript

Descrizione del lavoro

3 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, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI 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

• 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 sometimes work with challenging, complex guidelines
• Freelance role is fully remote; 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

• Get paid for your expertise, with rates that can go up to $32/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