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Remote Orchestra Teacher Jobs (NOW HIRING)

TripleTen

$152K/yr

Our team is fully remote and globally distributed, and we serve a large, active student base across ... Host live sessions focused on the design of ML systems: agentic architectures, orchestration ...

ERP Suites

AI Software Engineer

Loveland, OH · On-site +1

Although the position will be remote, there might be some occasional travel to ERPS facilities or ... Optimize prompt engineering, retrieval logic, orchestration flows, and agent behavior . * Deploy AI ...

ERP Suites

AI Software Engineer

Loveland, OH · Remote

Although the position will be remote, there might be some occasional travel to ERPS facilities or ... Optimize prompt engineering, retrieval logic, orchestration flows, and agent behavior . * Deploy AI ...

Northbeam

Senior Software Engineer, Data Systems (Python)

$117K - $140K/yr

You will teach them some new tricks, and maybe learn some old ones. If this sounds like your kind ... Experience with orchestration frameworks (e.g., Airflow) to manage and monitor complex data ...

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Remote Orchestra Teacher information

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$23K

$53.5K

$99.5K

How much do remote orchestra teacher jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote orchestra teacher 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 the difference between Remote Orchestra Teacher vs Remote Music Teacher?

AspectRemote Orchestra TeacherRemote Music Teacher
CredentialsMusic degree, teaching certification, orchestral experienceMusic degree, teaching certification, general music knowledge
Work EnvironmentOnline platform, virtual classrooms, individual or group lessonsOnline platform, virtual lessons, broad music instruction
Employer & IndustryMusic schools, orchestras, educational platformsMusic schools, online education platforms, private clients
Search & Comparison IntentSpecific to orchestral instruction, ensemble skillsGeneral music teaching, various instruments or voice

Remote Orchestra Teachers focus on teaching orchestral instruments and ensemble skills, often requiring orchestral experience and specialized certifications. Remote Music Teachers have a broader scope, covering multiple instruments or general music education. Both roles are conducted online, serving music schools, platforms, and private students. The key difference lies in the specialization: orchestral instruction versus general music teaching.

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Cities with the most Remote Orchestra Teacher job openings:

What are the most commonly searched types of Orchestra Teacher jobs?

The most popular types of Orchestra Teacher jobs are:

What states have the most Remote Orchestra Teacher jobs?

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Remote Orchestra Teacher jobs near you
Infographic showing various Remote Orchestra Teacher job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $53,476 per year, or $25.7 per hour.

AI & Machine Learning Teaching Expert (Part-time)

TripleTen

On-site, Remote

$152K/yr

Part-time

Posted 25 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