Evaluation Scenario Writer - AI Agent Testing Specialist

Mindrift

Town of Texas (WI)

On-site

USD 83,000 - 110,000

Part time

14 days+
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Benefits offered by this job

Flexibility in work schedule
Competitive rates up to $80/hour
Opportunity to work on advanced AI projects
Portfolio-building experience

Job summary

A leading AI innovation firm is seeking an Evaluation Scenario Designer to create structured test cases for LLM-based agents. This part-time role allows for flexible project work, focusing on defining gold-standard behaviors and analyzing agent performance. Candidates should hold a degree in Computer Science or related fields and possess strong analytical skills. Experience in software testing and communication in English are essential. This opportunity offers competitive rates up to $80/hour based on skills and experience.

Qualifications

  • Bachelor’s and/or Master’s Degree in relevant fields required.
  • Good understanding of test design principles necessary.
  • Strong written communication skills are a must.
  • Strong written English communication.
  • Experience with JSON/YAML for scenario descriptions.
  • Define expected agent behaviors (gold paths) and scoring logic.
  • Basic experience with Python and JavaScript.
  • Curious about AI-generated content and logs.

Responsibilities

  • Create structured test cases that simulate complex human workflows.
  • Define gold‑standard behavior to evaluate agent actions.
  • Analyze agent logs, failure modes, and decision paths.
  • Work with code repositories and test frameworks to validate scenarios.
  • Iterate prompts, instructions, and test cases to improve clarity and difficulty.
  • Ensure that scenarios are production-ready, easy to run, and reusable.

Skills

Test design principles
Strong written communication skills in English
Basic experience with Python
Basic experience with JavaScript
Analytical mindset
JSON/YAML

Education

Bachelor’s or Master’s Degree in Computer Science
Related fields (Data Science, AI, NLP)

Tools

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.

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 आरोच्छ in how AI agents make decisions.

Responsibilities
    \ walletCreate 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, виды 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 天天中彩票为什么 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/YאםLAML 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).
EEP Benefits
  • 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 минуты

Part‑time

Job Function

Other

Industries

IT Services and IT Consulting

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