4 дня назад
Content Maintenance Specialist (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Content Maintenance Specialist (Generative AI) (Python/LLM): Maintaining and modernizing AI course content, workspaces, exercises, and projects with an accent on rapidly changing model APIs, libraries, and cloud environments. Focus on debugging deprecated APIs, updating RAG and agentic AI materials, testing learner workspaces, and resolving complex student-reported issues.
Location: Nationwide, United States. Applicants must already have US work authorization that does not require current or future visa sponsorship.
Company
, an Accenture company, provides online technical education and workforce training in artificial intelligence, machine learning, data science, cloud computing, and related digital technologies.
What you will do
- Analyze course performance metrics and student feedback to identify and prioritize content updates.
- Maintain instructions and learning materials as APIs and libraries such as LangChain, OpenAI SDK, and Hugging Face evolve.
- Fix bugs involving deprecated APIs, token limits, Python exercises, projects, and other student-reported issues.
- Update course text, screenshots, tutorials, exercises, and project starter code with current AI tools and technologies.
- Update Python packages and programming environments in Workspaces, including migrations to newer Python versions.
- Test workspaces, exercises, and projects to verify that they function correctly for students.
Requirements
- At least 2 years of software development experience with Python.
- Strong Python skills and experience with LLM frameworks, including LangChain or LlamaIndex.
- Hands-on experience with model APIs such as OpenAI, Anthropic, Google Gemini, or Bedrock.
- Experience with vector databases, RAG pipelines, and agentic frameworks such as LangGraph.
- Experience with Git/GitHub and debugging Python-based exercises and projects.
- Strong troubleshooting, written communication, attention to detail, and a student-first mindset.
Nice to have
- Experience maintaining cloud-based learning environments using AWS, Azure, or GCP.
- Experience updating Docker- and Kubernetes-based development workspaces.
Culture & Benefits
- Independent contractor engagement with project scope, timelines, and support provided as needs arise.
- Opportunity to contribute to a global student community and collaborate with content and program teams.
- Recognition for technical expertise and networking with technical mentors.
- Opportunity to earn additional income while working with current AI technologies.
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