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Remote Machining Instructor Jobs (NOW HIRING)

$152K/yr

Our team is fully remote and globally distributed, and we serve a large, active student base across ... Set the technical standard for a team of supporting instructors who cover questions and first-line ...

Remote work options for locations outside of the United States are not permitted. This position ... Demonstrate and supervise proper use of automotive collision repair tools, equipment, machinery ...

This position can be remote. We seek instructors for courses including material in the following ... Machine learning * Data visualization * Data manipulation Qualifications Preferred applicants will ...

Solutions & Sales Engineer - Data Science 100% Remote (forever)We're seeking a Solutions & Sales ... Use your analytics and machine learning expertise to research and recommend the best analytic ...

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Remote Machining Instructor information

See salary details

$13.5K

$58.7K

$100.5K

How much do remote machining instructor jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote machining instructor in the United States is $58,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,500.00 and $67,000.00 per year, depending on experience, location, and employer.

What is a remote machining instructor?

Remote Machining Instructors are professionals who teach machining concepts, skills, and techniques to students or trainees through online platforms rather than in traditional in-person classrooms or workshops. They use digital tools, video demonstrations, virtual simulations, and interactive assignments to guide learners in understanding machining processes, such as CNC operations, milling, turning, and safety protocols. These instructors may work with vocational schools, technical colleges, or private training programs to deliver high-quality machining education remotely.

What does a remote machining instructor do?

As a Remote Machining Instructor, engaging students requires a blend of clear communication, interactive video demonstrations, and the use of virtual simulation tools. Instructors often utilize multiple cameras or screen sharing to provide close-up views of machining processes and equipment. They also encourage active participation through real-time Q&A, troubleshooting sessions, and remote lab assignments. Regular feedback and virtual office hours help address individual learning needs, ensuring students can grasp both theoretical concepts and practical skills despite the physical distance.

What are the key skills and qualifications needed to thrive as a remote machining instructor?

To thrive as a Remote Machining Instructor, you need extensive machining experience, a strong understanding of CNC operations, and often a relevant technical degree or certification. Familiarity with CAD/CAM software, virtual classroom platforms, and remote training tools is typically required. Excellent communication, patience, and the ability to engage and motivate learners remotely are standout soft skills in this role. These abilities ensure effective knowledge transfer, student engagement, and successful outcomes in a virtual learning environment.

What is the difference between Remote Machining Instructor vs Remote CNC Programmer?

AspectRemote Machining InstructorRemote CNC Programmer
CredentialsMachining certifications, teaching experienceCNC programming certifications, technical skills
Work EnvironmentOnline training platforms, educational settingsDesigning and editing CNC code remotely
Industry UsageManufacturing education, training companiesManufacturing, machine shops, production facilities
Search IntentTeaching, training, instruction rolesProgramming, technical setup, code creation

Remote Machining Instructors focus on teaching machining skills and certifications through online platforms, often working in educational or training environments. Remote CNC Programmers primarily develop and edit CNC code for manufacturing processes, working closely with production teams. While both roles require technical knowledge of machining, instructors emphasize education, whereas programmers focus on technical programming tasks.

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Cities with the most Remote Machining Instructor job openings:

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Infographic showing various Remote Machining Instructor job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 32% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $58,714 per year, or $28.2 per hour.

AI & Machine Learning Teaching Expert (Part-time)

TripleTen

On-site, Remote

$152K/yr

Part-time

Re-posted 7 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!