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Generative AI Evaluation Manager
Design evaluation protocols, collect user feedback, and refine AI models based on insights to enhance performance and reliability.
About Reality AI Lab
Reality AI Lab is advancing open-source AI tools that empower global education and career growth. Our mission is to develop AI Agents that support educators and learners worldwide, beginning with Marvel AI (an AI Teaching Assistant) and Sky AI (an AI Career Coach). Our tools are designed to make education more accessible and provide career-focused solutions that help people thrive.
Role Overview
We are seeking a Generative AI Evaluation Manager to lead the assessment of our Generative AI models, focusing on quality, accuracy, and educational relevance. In this role, you’ll design and implement evaluation methodologies to measure AI performance, gather user feedback, and identify areas for improvement. This position is ideal for someone with experience in AI evaluation, data analysis, or quality assurance, who is committed to maintaining high standards of performance and reliability in AI systems.
Key Responsibilities
- Performance Assessment: Develop and execute evaluation protocols to measure the effectiveness, accuracy, and reliability of Generative AI outputs across different use cases, particularly in educational settings.
- Quality Benchmarking: Establish benchmarks and KPIs to evaluate and compare the performance of Generative AI models, ensuring they meet established quality standards.
- User Feedback Collection and Analysis: Implement systems for collecting feedback from educators, students, and contributors, analyzing insights to identify strengths and areas for improvement.
- Continuous Improvement: Collaborate with developers and data scientists to recommend enhancements based on evaluation findings, contributing to iterative model improvement and refinement.
- Documentation and Reporting: Prepare detailed evaluation reports for internal stakeholders, outlining key findings, improvement recommendations, and performance metrics.
- Compliance with Educational Standards: Ensure that AI-generated content adheres to educational quality standards, aligning with Reality AI Lab's mission to provide accurate and beneficial resources.
Requirements
- Experience in AI Evaluation or Quality Assurance: Background in model evaluation, quality control, or data analysis, preferably within AI or machine learning environments.
- Analytical and Methodical Skills: Strong ability to design and implement rigorous evaluation protocols, analyze performance metrics, and make data-driven recommendations.
- Understanding of Educational Standards: Familiarity with educational content standards and quality requirements to ensure AI-generated content aligns with academic goals.
- Collaboration and Communication Skills: Skilled in working with cross-functional teams to implement improvements and communicate evaluation findings effectively.
- Attention to Detail: High level of attention to detail, capable of identifying inconsistencies or inaccuracies and ensuring they are addressed in subsequent iterations.
- Commitment to Continuous Improvement: Passion for enhancing AI model performance, reliability, and impact through systematic evaluation and iterative feedback.
Additional Information
- Commitment: Part-time, unpaid open-source contribution role with flexible scheduling.
- Duration: 1-6 months, remote work setup.
- Diversity and Inclusion: Reality AI Lab is an equal opportunity organization, committed to fostering a diverse and inclusive environment.
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