Fast Facts

Udacity seeks an Independent Contractor for the role of Content Maintenance Mentor to ensure educational content in Generative AI and related fields remains current and impactful.

Responsibilities: Analyze course performance metrics, review student feedback, maintain APIs and libraries, address student-reported issues, and enhance course content.

Skills: Strong proficiency in Python, experience with LLM frameworks (LangChain, LlamaIndex), familiarity with Vector Databases, experience with version control systems, and strong troubleshooting skills.

Qualifications: Minimum 2 years of software development experience in Python, proficiency in LLM frameworks, hands-on experience with major Model APIs, and strong written communication skills.

Location: Nationwide

Compensation: Not provided by employer. Typical compensation ranges for this position are between $40 - $120 per hour.

Udacity is a pioneer in online technical education, offering high-quality courses across a wide range of disciplines. Our catalog includes short and long programs, Nanodegrees (bundled courses), and content tailored to multiple skill levels, foundational, beginner, intermediate, and advanced as well as business leadership audiences.

To ensure our content remains current, impactful, and industry-aligned, we continuously review and update our courses. We take a data-driven approach to evaluating content quality and identifying outdated material. Key performance metrics, such as student satisfaction, lesson ratings, and page-level feedback, help us determine whether a course requires maintenance. Throughout the year, various courses are kept under active maintenance to ensure they receive timely updates. To do this effectively, we regularly collaborate with expert contractors who help update the course content.

As new needs arise, we contact qualified candidates within our contractor pool to share project details, scope, and timelines. Contractors work closely with a Udacity team member who provides tooling, guidance, and logistical support. In most cases, contractors operate as individual contributors, though they may collaborate with other teams, such as Content Developers, Program Managers, and Learning Architects, to define scope, set priorities, and gather necessary information about the content under maintenance.

About the School of AI

We're building a contractor pool of AI experts to support our School of Artificial Intelligence. The School of AI hosts a robust catalog ranging from foundational machine learning to cutting-edge Generative AI. Primary topics include, but are not limited to: Large Language Models (LLMs), Generative AI, Computer Vision, Natural Language Processing (NLP), MLOps, and AI engineering on major cloud providers (AWS, Azure).

Understanding Our Learning Infrastructure

To effectively maintain and update our cloud courses, you'll need to understand how students interact with our content. Our courses use two key technologies:

Udacity Workspaces

For practitioner content, we provide in-classroom workspaces so students don't need to install or purchase any tools or set up environments locally. These workspaces are Docker containers running in Kubernetes, and students access them directly in the classroom page through their browser. There are different types: Jupyter, VS Code, SQL, and Web Terminal. These workspaces need continuous updates and patching, and the exercises/project starter code must be updated to remain compatible with the updated workspace.

Udacity Cloud Labs

We also provide temporary access to various cloud services providers via Cloud Labs. Cloud Labs are federated accounts allowing students to use AWS Console, GCP Console, or Azure Portal using temporary credentials. These cloud labs are pre-configured with RBAC and policies. Sometimes, we pre-create several resources via Infrastructure as Code to provision the resources required for an exercise or project.

If you thrive on challenges, want to make an impact, and are interested in joining our contractor community, we encourage you to read on and apply.

JOIN THE TEAM TODAY

Required skills/qualifications: 

• Strong proficiency in Python and experience with LLM frameworks (LangChain, LlamaIndex).
• Hands-on experience with major Model APIs (OpenAI, Anthropic, Google Gemini, Bedrock).
• Experience with Vector Databases (Pinecone, ChromaDB, Weaviate) and RAG pipelines.
• Knowledge of Agentic frameworks (e.g. LangGraph).
• Must have at least 2 years of software development experience in Python
• Experience working with version control systems (Git/GitHub)
• Ability to debug and update Python-based exercises and projects.
• Strong troubleshooting skills to resolve student-reported issues efficiently.
• Excellent written communication skills for documenting changes and providing clear instructions
• Strong attention to detail with a student-first mindset.

Responsibilities:

• Analyze course performance metrics to identify content requiring updates.
• Review student feedback at scale to prioritize actionable improvements
• API & Library Maintenance: Update classroom instructions to handle frequent breaking changes in rapidly evolving libraries (e.g., LangChain, OpenAI SDK, Hugging Face).
• Bug-fixes: Address student-reported issues by updating or enhancing existing course materials, or trouble shooting issues related to token limits or deprecated APIs
• Enhancements: Update the course content to the latest tools and technologies. This will include updating the text, screenshots, instructions, tutorials, exercises, and the project. 
• Update Udacity Workspaces using self-service Studio (in-house tool)
• Test workspaces: Verify that a workspace exercise or project works as intended with no underlying issues.

Why should you apply? 

• Gain recognition for your technical knowledge
• Network with other top-notch technical mentors 
• Earn additional income 
• Contribute to a vibrant, global student community 
• Stay updated on the latest in cutting-edge technologies

Also, while attaching resume/CV, please make sure the document is in English language.