Mindrift
Evaluation Scenario Writer - AI Agent Testing Specialist
Mindrift, Raleigh, North Carolina, United States
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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
Mindrift 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
Design realistic and structured evaluation scenarios for LLM-based agents. Create test cases that simulate human-performed tasks, define gold-standard behavior, and compare agent actions against. Ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. Analyze agent logs, failure modes, and decision paths. Work with code repositories and test frameworks to validate scenarios. Iterate on prompts, instructions, and test cases to improve clarity and difficulty. Ensure scenarios are production-ready, easy to run, and reusable. How To Get Started
Simply apply, qualify, and contribute to projects aligned with your skills on your own schedule. From creating training prompts to refining model responses, 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, AI, ML, Computational Linguistics, NLP, Information Systems, or 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 $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.
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Mindrift 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
Design realistic and structured evaluation scenarios for LLM-based agents. Create test cases that simulate human-performed tasks, define gold-standard behavior, and compare agent actions against. Ensure each scenario is clearly defined, well-scored, and easy to execute and reuse. Analyze agent logs, failure modes, and decision paths. Work with code repositories and test frameworks to validate scenarios. Iterate on prompts, instructions, and test cases to improve clarity and difficulty. Ensure scenarios are production-ready, easy to run, and reusable. How To Get Started
Simply apply, qualify, and contribute to projects aligned with your skills on your own schedule. From creating training prompts to refining model responses, 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, AI, ML, Computational Linguistics, NLP, Information Systems, or 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 $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.
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