(Independent Contractor): Content Maintenance Specialist- Generative AI

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 We take a data-driven approach to evaluating content quality and identifying outdated material.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:

A qualified candidate will have:

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)

Installing the updated Python packages in the existing workspaces

Updating the exercises and project starter code to support newer programming environments (e.g., upgrade from Python 3.6 to Python 3.12)

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

Compensation:

Compensation at Udacity, an Accenture company, varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Udacity, an Accenture company, will provide a reasonable range of compensation.

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