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TripleTen

TripleTen is an award-winning online school among technology bootcamps. Our mission is to help people change their lives and succeed in technology. We offer flexibility in studies, career mentoring, resume and portfolio preparation, and we guarantee employment after the course. Our employability rate among graduates is 87% across our Web Development, Quality Assurance (QA), Data Analytics, and Data Science programs. TripleTen LATAM is among the Top 3 EdTech companies in LATAM and are on track to become the regional leader. We’re recognized as absolute leaders in paid advertising performance within the EdTech space in LATAM.

AI & Machine Learning Teaching Expert

Learning and DevelopmentLearning and DevelopmentPart TimeRemoteMid LevelTeam 1,001-5,000

Location

EST (UTC-5)

Posted

4 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

AI & Machine Learning Teaching Expert

TripleTen

Role Description We're looking for the person who brings an AI and Machine Learning curriculum to life for students: - Hosts the live sessions - Reviews the work - Runs the model and system review boards - Sets the technical bar for the people supporting alongside them This is a teaching and reviewing role. You'll be the senior technical presence students learn from week to week: - Run live sessions and office hours - Give real engineering feedback on student ML deliverables - Act as the escalation point for a team of supporting instructors Your audience: An experienced developer or engineer – SWE, data engineer, data analyst, DevOps/SRE, or quant – who wants to move into an adjacent AI/ML role (MLE, AI engineer, MLOps, data scientist) and carry their existing experience across, not start over. Format: Live sessions, office hours, 1:1s, and workshops timed around US Eastern Time – mostly 2:00 PM to 9:00 PM ET. Estimated 10 to 15 hrs/week. Please submit all resumes or CVs in English. What you will do: - Host live sessions focused on the design of ML systems: agentic architectures, orchestration, evaluation, and reliability of LLM-based systems - Run group office hours, 1:1 sessions and tech mock interviews for students working through projects - Review student projects against rubrics - Set the technical standard for a team of supporting instructors who cover questions and first-line review, and act as their escalation point Qualifications - 7+ years of professional ML engineering experience, currently working at senior level or above (Senior/Lead/Staff ML Engineer, AI Engineer, or ML/AI Systems Architect) - Has built and shipped AI or ML systems that ran in production in a real company, not just notebooks or side projects - Depth across the AI engineering spine: agentic systems (L3, LangChain/CrewAI/ADK frameworks, orchestration, self-correction), agent reliability and guardrails, MCP; LLM evals (eval harness, LLM-as-judge, hallucination metrics), applied fine-tuning (SFT/LoRA); AI coding tools in the SDLC, LLM observability, A/B experiment design - Can explain why a modeling or architecture decision was made, not just how it was implemented, and can diagnose and critique someone else's work live - Strong technical communication: comfortable leading a live session and writing clear, specific review feedback - Strong English C1+ — instruction and review are in English for a US-based audience - Comfortable using AI tools in day-to-day technical work Requirements - Has taught, mentored, or run technical sessions before: internal tech talks, onboarding, mentoring engineers, bootcamp or workshop instruction - Production experience with agentic frameworks (LangChain, CrewAI, ADK) and MCP-based tool integrations - Hands-on ownership of an eval or observability stack in production, not just usage - Work experience at a recognizable company - Familiarity with online education platforms or running programs Benefits - Fully remote work, with live sessions scheduled within US afternoon and evening hours - A digital office: we use modern tools (Notion, Slack, Zoom) to keep collaboration smooth - Professional trust and autonomy: no micromanaging - A diverse, international, close-knit team excited to work with you!

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