(Independent Contractor): Content Maintenance Specialist- Generative AI

Udacity; United States; Remote; USD 110,000 - 180,000; Full time

Job summary

Udacity, an Accenture company, is building a contractor pool for AI/ML course maintenance and development. You will update and maintain classroom materials, integrate LangChain, LlamaIndex, and major model APIs, and ensure compatibility with Udacity Workspaces (Docker/Kubernetes) and Cloud Labs.

Strong Python skills and 2+ years of experience are required. Applicants collaborate with Content Developers, Program Managers, and Learning Architects to define scope, set priorities, and gather

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)
• - 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.

Skills

Python

LangChain

LlamaIndex

OpenAI API

Anthropic API

Google Gemini API

Bedrock API

Pinecone

ChromaDB

Weaviate

LangGraph

Git / GitHub

Debugging Python

Tools

Docker

Kubernetes

OpenAI SDK

Hugging Face

LangChain

LlamaIndex

Pinecone

ChromaDB

Weaviate

Job description

About Us

Udacity is now an Accenture company, and exciting things are happening! We are on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey.

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:

1. 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.
2. 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.

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.

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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Udacity, an Accenture company, is an EEO and affirmative action employer of veterans/ individuals with disabilities, and is committed to providing veteran employment opportunities to our service men and women.

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