Mechanical Engineer with Python Experience - Freelance AI Trainer
The role involves training and evaluating AI models on complex, real-world mechanical engineering problems, focusing on professional judgment and engineering rigor rather than data labeling or traditional software development. Responsibilities include designing graduate- and industry-level mechanical engineering problems grounded in real practice, evaluating AI-generated solutions for correctness, assumptions, and engineering logic, validating analytical or numerical results using Python libraries such as NumPy, SciPy, and Pandas, improving AI reasoning to align with first principles and accepted engineering standards, and applying structured scoring criteria to assess multi-step problem solving.
English Language and Literature Teachers, Postsecondary - AI Trainer (Contract)
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.
Senior Technical Trainer / Developer Educator
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.
Freelance Accounting Consultant - AI Trainer
The role involves creating complex, realistic tasks that challenge frontier AI agents, including building detailed versions with objective scoring and ambiguous versions to train agents. The work requires designing training prompts and refining model responses to improve AI tools, with tasks including explaining complex tasks clearly and structuring information coherently based on domain knowledge.
Education Engineer, Machine Learning
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.
Software Engineer, Agent Developer Relations
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.
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