
Content Maintenance Specialist – Generative AI
Posted 18 hours ago

Posted 18 hours ago
This is a fully remote position, open to applicants in United States.
• Evaluate course performance metrics to pinpoint content that needs revisions.
• Assess student feedback on a large scale to prioritize actionable enhancements.
• Revise classroom instructions to accommodate significant changes in libraries, including LangChain, OpenAI SDK, and Hugging Face.
• Resolve issues reported by students by updating or improving course materials and troubleshooting problems related to token limits or deprecated APIs.
• Refresh course content, encompassing text, screenshots, instructions, tutorials, exercises, and projects, to align with current tools and technologies.
• Update Udacity Workspaces utilizing the in-house Studio tool.
• Install updated Python packages in existing workspaces.
• Revise exercises and project starter code to align with newer programming environments, such as upgrading from Python 3.6 to Python 3.12.
• Test workspaces to ensure exercises and projects function correctly.
• Collaborate with Udacity team members, Content Developers, Program Managers, and Learning Architects to define project scope, prioritize tasks, and collect content information.
• Strong expertise in Python and experience with LLM frameworks (LangChain, LlamaIndex).
• Practical experience with major Model APIs (OpenAI, Anthropic, Google Gemini, Bedrock).
• Familiarity with Vector Databases (Pinecone, ChromaDB, Weaviate) and RAG pipelines.
• Knowledge of Agentic frameworks (e.g., LangGraph).
• A minimum of 2 years of software development experience in Python is required.
• Proficiency in working with version control systems (Git/GitHub).
• Capability to debug and update Python-based exercises and projects.
• Strong troubleshooting abilities to efficiently resolve student-reported issues.
• Excellent written communication skills for documenting modifications and providing clear instructions.
• Keen attention to detail with a focus on student needs.
• Resume/CV must be submitted in English.
• Candidates seeking employment in the US must have work authorization that does not currently or in the future require sponsorship for a visa to work in the United States.
• Receive recognition for your technical expertise.
• Connect with other exceptional technical mentors.
• Earn additional income.
• Contribute to a dynamic, global student community.
• Stay informed about the latest advancements in cutting-edge technologies.
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