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Content Maintenance Specialist – Generative AI
Udacity Marketing. Analyze course performance metrics to identify content requiring updates .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong proficiency in Python and experience with LLM frameworks, ensuring effective updates and enhancements to course materials. Collaborates with cross-functional teams to prioritize improvements based on student feedback and performance metrics.
Highest-signal resume keywords
Proficiency In PythonExperience With LLM FrameworksHands-On Experience With Major Model APIsExperience With Vector DatabasesStrong Troubleshooting Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingSoftware DevelopmentDebuggingVersion Control (Git/GitHub)Updating Course ContentTesting WorkspacesTroubleshooting Token-Limit IssuesUpdating Python PackagesEnhancing Course MaterialsWorking With RAG Pipelines
Soft Skills
Excellent Written CommunicationAttention To DetailStudent-First Mindset
Tools & Technologies
LangChainOpenAI SDKHugging FaceUdacity WorkspacesIn-House Studio ToolPineconeChromaDBWeaviateLangGraphGoogle Gemini
Industry Keywords
Course Performance MetricsStudent FeedbackContent UpdatesModel APIsAgentic FrameworksSoftware Development ExperienceWork Authorization
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Analyze course performance metrics to identify content requiring updates
- Review student feedback at scale to prioritize actionable improvements
- Update classroom instructions to handle breaking changes in libraries such as LangChain, OpenAI SDK, and Hugging Face
- Address student-reported issues by updating or enhancing course materials and troubleshooting token-limit or deprecated-API issues
- Update course content, including text, screenshots, instructions, tutorials, exercises, and projects, to use current tools and technologies
- Update Udacity Workspaces using the in-house Studio tool
- Install updated Python packages in existing workspaces
- Update exercises and project starter code for newer programming environments, such as upgrading from Python 3.6 to Python 3.12
- Test workspaces to verify exercises and projects work as intended
- Collaborate with Udacity team members, Content Developers, Program Managers, and Learning Architects to define scope, set priorities, and gather content information
Requirements
What you’ll need- 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
- Resume/CV must be in English
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States
Benefits
Comp & perks- 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