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Machine Learning Teaching Remote Jobs (NOW HIRING)

TripleTen

$152K/yr

Our team is fully remote and globally distributed, and we serve a large, active student base across ... We're looking for the person who brings an AI and Machine Learning curriculum to life for students ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

FloVision Solutions

Machine Learning Engineer

ABOUT FLOVISION FloVision is a remote-first startup focused on improving the food supply chain, starting with protein processing. We design computer vision and machine learning-assisted production ...

FloVision Solutions

Machine Learning Engineer

OR · On-site +1

ABOUT FLOVISION FloVision is a remote-first startup focused on improving the food supply chain, starting with protein processing. We design computer vision and machine learning-assisted production ...

Orchard LLC

Machine Learning Engineer

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

... teacher. You know how to break down complex ML concepts for a specific audience and make it click ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview ...

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

S. government security clearance in the future.' This is NOT a fully remote position! Required * BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Vienna, VA / Chantilly, VA (Hybrid / Flexible Remote options available) Responsibilities * Prototype to Production: Support the full machine learning lifecycle, taking computer vision models from ...

Syngenta

Machine Learning Engineer

NC · Remote

This is an opportunity to apply cutting-edge remote sensing and AI technologies to solve real-world ... Contribute across the full lifecycle of machine learning projects, including problem definition ...

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Machine Learning Teaching Remote information

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$23K

$53.5K

$99.5K

How much do machine learning teaching remote jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning teaching remote in the United States is $53,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What is a machine learning teaching remote?

A Machine Learning Teaching Remote job involves instructing students or professionals on machine learning concepts and techniques through online platforms. Educators in this role design and deliver course materials, lead virtual lectures or workshops, and provide feedback on assignments. The position typically allows for flexible work from home and may include mentoring, curriculum development, and staying updated with the latest trends in machine learning. It is ideal for those with expertise in machine learning and a passion for teaching, who are comfortable using digital communication tools.

What are the main challenges of teaching machine learning remotely, and how can they be addressed?

One of the main challenges of teaching machine learning remotely is ensuring student engagement and comprehension, especially with complex concepts and hands-on programming tasks. In a remote setting, it's important to leverage interactive tools, frequent check-ins, and collaborative platforms to maintain student participation and provide timely feedback. Additionally, clear communication and well-structured materials help bridge the gap that physical presence often fills. Successful remote instructors often schedule virtual office hours and foster online discussion forums to support students effectively.

What are the key skills and qualifications needed to thrive as a machine learning teaching remote, and why are they important?

To thrive as a remote Machine Learning Teacher, you need a strong grasp of machine learning concepts, algorithms, and programming (often with a background in computer science or a related field). Familiarity with tools such as Python, Jupyter Notebooks, TensorFlow, and relevant online teaching platforms or Learning Management Systems is essential. Excellent communication, patience, and the ability to explain complex concepts clearly are vital soft skills for engaging remote learners. These skills ensure that students receive high-quality instruction and support, making advanced topics accessible and fostering effective learning in a virtual environment.
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Machine Learning Teaching Remote jobs near you
Infographic showing various Machine Learning Teaching Remote job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $53,476 per year, or $25.7 per hour.

AI & Machine Learning Teaching Expert (Part-time)

On-site, Remote

TripleTen
See more jobs at TripleTenexternal

$152K/yr

Part-time

Re-posted 10 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