AI Developer Educator Jobs

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Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help customers achieve success. Scope and co-develop production-level data science projects with customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.

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As an AI Tutor in Coding specializing in Kotlin development, the responsibilities include designing high-quality technical content, examples, and explanations demonstrating best practices in Kotlin development; collaborating with engineers to ensure accuracy and consistency across code samples, tutorials, and developer guides; exploring modern Kotlin frameworks and tools to create practical, real-world examples for learning and testing; and continuously refining content based on feedback, emerging patterns, and advances in the Kotlin ecosystem. The role also involves contributing to projects aligned with skills by creating training prompts and refining model responses to help shape the future of AI while ensuring technology benefits everyone.

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The responsibilities include leveraging professional experience to evaluate AI models and the content produced by these models in the field of English Language and Literature, delivering clear and structured feedback to improve the AI models' understanding of workplace tasks and language, developing prompts for AI models that reflect the field, and evaluating AI responses. The work is remote and asynchronous with flexible hours, involving independent work. The role involves participating in AI research projects where you assess content related to your expertise and provide feedback to enhance model quality.

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As a Senior Technical Trainer / Developer Educator for Ema's Agentic AI Builder, responsibilities include owning and evolving the role-based enablement curriculum for developers, admins/ops, and security/compliance roles; delivering instructor-led training, workshops, and office hours; creating progressive learning paths covering fundamentals, workflows, integrations, observability, release lifecycle, and production readiness; building and maintaining hands-on labs, sample projects, reference implementations, and capstone exercises; maintaining starter templates and integration examples; ensuring labs work across customer environments with minimal friction; defining skill milestones and certification criteria; building assessments; partnering with Customer Success to track certification progress; reinforcing training concepts by coaching customers in real implementations; helping customers adopt best practices in agent design, tool reliability, prompt/policy guardrails, testing, evaluation, and release strategies; identifying customer pitfalls for training improvements; collaborating with SRE/DevOps to create production enablement content such as runbooks, SOPs, monitoring checklists, incident simulations; teaching customers to run the AI builder at enterprise scale covering failure handling, secrets management, performance, governance; acting as a feedback loop to synthesize training feedback and highlight product and documentation gaps; and partnering with engineering to keep enablement content up to date with product releases.

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Collaborate with LangChain engineers to develop educational content that teaches agentic evaluation, monitoring, and refinement using LangSmith, LangChain and LangGraph. Design curriculum and structured learning paths for a community of over 1 million developers and agent builders. Create and deliver content across multiple formats including online courses for LangChain Academy, video tutorials, webinars, live presentations at workshops, hackathons, meetups, and conferences. Build and maintain example projects, code demos, and visuals to support educational content. Translate experimental applied AI code and internal agent evaluation techniques into developer-friendly learning materials.

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Write the playbook for onboarding and educating external agent engineers to Sierra’s Agent SDK. Develop and deploy AI Agents as an Agent Software Engineer, building expertise in agent development. Lead the creation and execution of external developer training and enablement programs. Build infrastructure and content that scales, including technical documentation, onboarding paths, and hands-on repositories for SDK adoption. Collaborate with marketing teams to publish developer case studies and success stories to inspire and connect the technical community.