Core Generative AI Maintainer

Monitor, troubleshoot, and document generative AI components while mentoring contributors to ensure reliable, high-quality outputs.

Remote
Part time

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 Core Generative AI Maintainer to manage and maintain the integrity and performance of generative AI components in our open-source projects, including Marvel AI and Sky AI. As a maintainer, your focus will be on monitoring, improving, and troubleshooting existing generative AI systems to ensure they continue to meet quality standards. This role is ideal for those experienced in maintaining complex AI models, passionate about open-source, and ready to ensure the reliability and accuracy of generative AI-driven features.

Key Responsibilities

  • Model Monitoring and Maintenance: Regularly monitor the performance of deployed generative AI models, ensuring they meet desired accuracy, speed, and stability requirements.
  • Troubleshooting and Issue Resolution: Diagnose and resolve issues related to model outputs, performance bottlenecks, and data inconsistencies, working proactively to maintain a stable system.
  • Quality Assurance: Review code and model updates from contributors, ensuring they meet project standards and adhere to best practices in generative AI.
  • Version Control and Model Updates: Maintain version control for models, documenting and implementing model updates, rollbacks, and bug fixes as necessary.
  • Documentation and Guidelines: Update and maintain comprehensive documentation on generative AI components, including maintenance procedures, troubleshooting guides, and performance benchmarks.
  • Community Support and Contributor Guidance: Support and mentor contributors focused on generative AI, offering feedback and ensuring contributions align with project goals and quality standards.

Requirements

  • Technical Proficiency: Strong background in Generative AI technologies, including LLMs, RAG, and multimodal AI, with experience in Python and libraries like TensorFlow or PyTorch.
  • Maintenance Experience: Proven experience in managing and maintaining AI models, including troubleshooting, optimization, and version control.
  • Problem-Solving Skills: Ability to diagnose and resolve generative AI-specific issues, with a focus on ensuring stable and high-quality model outputs.
  • Open Source Familiarity: Experience working in open-source environments, with proficiency in version control and collaborative development practices.
  • Communication Skills: Clear and effective communication skills for collaborating within the open-source community and providing feedback to contributors.
  • Organizational Skills: Strong attention to detail and ability to manage and document multiple maintenance tasks in a flexible, remote work setting.

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.

Apply now
Send Email - GPT X Webflow Template

Stay Connected for AI Lab Career Opportunities

Be the first to know about new roles and exciting opportunities at Reality AI Lab.

You're all set! 🎉 Thank you for subscribing to Reality AI Lab career updates.
Oops! Something went wrong. 😔 Please check your email address and try again. If the issue persists, feel free to contact us for assistance.

More open position

View all roles

Guide and maintain the core functionality of open-source AI projects, ensuring quality, collaboration, and innovation in educational tools.

Lead development and maintenance of feature-specific components in open-source AI projects, ensuring seamless integration and quality.

Oversee and optimize specific generative AI features, ensuring targeted components align with project goals and maintain high performance.