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 an experienced Generative AI Mentor to guide contributors in designing, developing, and deploying innovative AI solutions. This role emphasizes hands-on mentorship in cutting-edge generative AI development, leveraging modern frameworks and tools like LangChain, Retrieval-Augmented Generation (RAG), AI Agents, CrewAI, and vector databases such as Pinecone. You’ll play a vital role in fostering a thriving open-source community, empowering contributors to advance their skills while building impactful educational AI solutions.
Key Responsibilities
- Mentorship in Generative AI Development: Provide guidance on leveraging tools like LangChain, RAG, AI Agents, and CrewAI to build generative AI solutions tailored for educational applications.
- Vector Database and RAG Integration: Mentor contributors on integrating vector databases (e.g., Pinecone) and retrieval-augmented generation pipelines to enhance AI capabilities.
- Code Review and Development Support: Review contributors’ codebases, offering detailed feedback to ensure quality, efficiency, and adherence to project standards.
- Workshops and Tutorials: Lead focused sessions on topics such as LLM fine-tuning, multimodal AI, and prompt engineering, helping contributors deepen their technical expertise.
- Ethical AI Implementation: Guide contributors on best practices for deploying generative AI tools responsibly, emphasizing fairness, inclusivity, and privacy.
- Collaboration in Open-Source Projects: Support a collaborative, community-driven development environment, encouraging knowledge sharing and collective problem-solving.
Requirements
- Experience in Generative AI Development: 2+ years of hands-on experience with LLMs, RAG, AI Agents, and tools like LangChain or Pinecone.
- Proficiency in Modern AI Tools: Strong knowledge of Python and frameworks like Hugging Face Transformers, LangChain, and cloud computing APIs (e.g., Google Gemini AI).
- Strong Mentorship and Communication Skills: Ability to guide contributors with varying levels of experience, providing clear, actionable advice.
- Debugging and Problem-Solving Expertise: Skilled in identifying and resolving technical challenges in generative AI development, such as model integration and performance optimization.
- Commitment to Open-Source Values: Familiarity with open-source collaboration dynamics, with a focus on inclusivity, transparency, and community-driven impact.
- Ethical Awareness: Deep understanding of ethical considerations in AI applications, particularly in educational contexts.
Additional Information
- Variable Hourly Pay: Compensation based on mentor availability and the number of hours dedicated per month.
- Commitment: Flexible schedule, allowing mentors to work based on their availability.
- Remote Work Setup: Fully remote, enabling global participation.
- Diversity and Inclusion: Reality AI Lab is an equal opportunity organization, committed to fostering a diverse and inclusive environment.