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Remote Ai Teaching Jobs (NOW HIRING)

TripleTen

$152K/yr

Our team is fully remote and globally distributed, and we serve a large, active student base across ... Comfortable using AI tools in day-to-day technical work. Preferred experience: * Has taught ...

Mercor

Elementary Teacher - AI Trainer

Boston, MA · Remote

$30/hr

Remote Role Responsibilities * Complete a one-time online survey/interview about your day-to-day ... Qualifications Must-Have * 4+ years teaching elementary school (excluding special education)

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How much do remote ai teaching jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote ai teaching in the United States is $57,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $62,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in remote AI teaching?

To thrive in Remote AI Teaching, strong knowledge of artificial intelligence concepts, programming skills (such as Python), and experience in educational instruction are essential, often supported by degrees in computer science or related fields. Familiarity with virtual teaching platforms (like Zoom, Google Classroom), learning management systems, and AI-specific tools (such as TensorFlow or PyTorch) is typically required. Excellent communication, patience, and the ability to engage and motivate students remotely are highly valuable soft skills. These competencies ensure effective knowledge transfer, a positive online learning experience, and the ability to adapt to evolving educational technologies.

What does a typical workday look like for remote AI teaching?

A typical day as a Remote AI Teaching professional involves preparing and delivering virtual lectures or tutorials on AI topics, developing assignments or projects, and providing feedback to students through online platforms. You may spend time creating digital learning resources, answering student questions via email or discussion boards, and tracking learner progress using assessment tools. Collaboration with fellow instructors or curriculum designers to improve course content and instructional methods is also common. This dynamic role blends independent work with interactive teaching and requires strong organizational and communication skills to manage virtual classrooms effectively.

What is remote AI teaching?

A Remote AI Teaching job involves educating students or professionals about artificial intelligence concepts, tools, and applications through online platforms. Instructors may create lesson plans, deliver live or recorded lectures, and provide guidance on AI-related projects. These roles can be found in universities, online education platforms, or corporate training programs. Essential skills include a strong understanding of AI, machine learning, and effective online teaching methods.

More about Remote Ai Teaching jobs
What cities are hiring for Remote Ai Teaching jobs? Cities with the most Remote Ai Teaching job openings:
What are the most commonly searched types of Ai Teaching jobs? The most popular types of Ai Teaching jobs are:
What states have the most Remote Ai Teaching jobs? States with the most job openings for Remote Ai Teaching jobs include:
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Remote Ai Teaching jobs near you
Infographic showing various Remote Ai Teaching job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 14% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $57,413 per year, or $27.6 per hour.

AI & Machine Learning Teaching Expert (Part-time)

TripleTen

On-site, Remote

$152K/yr

Part-time

Posted 11 days ago

Job description

Description
TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners - people with no prior tech background - through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.
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, and sets the technical bar for the people supporting alongside them. The curriculum is built by a team of senior authors.
This is a teaching and reviewing role. You'll be the senior technical presence students learn from week to week. You'll run live sessions and office hours, give real engineering feedback on student ML deliverables, and act as the escalation point for a team of supporting instructors who handle first-line questions. The best person for this is someone who has actually built and shipped AI systems in production, has opinions about what a sound ML system looks like, and can tell an experienced engineer why their approach is wrong.
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.

Requirements
  • 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.

Preferred experience:
  • 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.

What we can offer you
  • 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!

Apply