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Live Streaming Operator Jobs in Michigan (NOW HIRING)

Tapestry, Inc.

Assistant Store Leader

Auburn Hills, MI · On-site

$15.25 - $18.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Champion Kate Spade's aesthetic and philosophy; maintain brand and operating standards. * Execute ... Manage live stream shopping sessions and leverage social media trends to drive engagement.

General Motors

Data Engineering Manager

Warren, MI · On-site

$107K - $129K/yr

... operating Customer data platforms supporting OnStar, Connected Services, Customer, Marketing ... Architect, Design and build scalable batch, streaming, API, and event-driven data pipelines using ...

AMN Healthcare

Urologic Oncology Faculty

Muskegon, MI · On-site

$420K - $500K/yr

... operating room-based care. * Provide comprehensive care for prostate, bladder, kidney, and ... Livability named Troy one of its Top 100 Best Places to Live and notes the city's strength in ...

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Showing results 21-40

All JobsLive Streaming Operator JobsLive Streaming Operator Jobs in Michigan

Live Streaming Operator information

See Michigan salary details

$8

$26

$71

How much do live streaming operator jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for live streaming operator in Michigan is $26.01, according to ZipRecruiter salary data. Most workers in this role earn between $13.93 and $31.66 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a live streaming operator?

To thrive as a Live Streaming Operator, you need a solid understanding of video production, audio engineering, and network streaming protocols, often supported by relevant experience or certifications. Familiarity with live streaming platforms (such as OBS, vMix, or Wirecast), camera equipment, and audio/video mixing consoles is essential. Strong problem-solving skills, attention to detail, and the ability to remain calm under pressure are valuable soft skills in this role. These competencies ensure smooth, high-quality broadcasts and rapid troubleshooting of technical issues during live events.

What is the difference between Live Streaming Operator vs Video Technician?

AspectLive Streaming OperatorVideo Technician
CredentialsTechnical certifications, streaming platform knowledgeVideo production certifications, technical skills
Work EnvironmentBroadcast studios, live event settings, remote locationsTV stations, production studios, live events
Employer & IndustryMedia companies, online streaming servicesBroadcasting, film, television production
Common Search/ComparisonYesYes

While both roles involve working with video technology, a Live Streaming Operator primarily manages live online broadcasts, ensuring smooth streaming and technical quality. A Video Technician typically handles video equipment setup, troubleshooting, and support in various production environments. The roles overlap in technical skills and work environments but differ mainly in focus—live online streaming versus general video production support.

How to become a live streaming operator?

To become a live streaming operator, you should gain experience with streaming software such as OBS or Streamlabs, develop technical skills in video and audio setup, and understand broadcasting workflows. Many roles require a high school diploma or equivalent, and some employers prefer candidates with related certifications or experience in media production. Building a portfolio of live streams can also improve job prospects.

What is a live streaming operator?

A Live Streaming Operator is a professional responsible for managing the technical aspects of live video broadcasts over the internet. They handle equipment setup, camera switching, audio mixing, and streaming software to ensure smooth and high-quality live streams. Their role may also include troubleshooting technical issues in real time, monitoring broadcast quality, and coordinating with production teams. Live Streaming Operators are essential for events such as webinars, concerts, conferences, and esports tournaments.

What are the typical challenges faced by a live streaming operator during live broadcasts?

Live Streaming Operators often encounter challenges such as managing unexpected technical issues (like connectivity drops or equipment malfunctions), adapting quickly to last-minute changes in the production schedule, and maintaining high-quality audio and video streams under time pressure. Effective communication with other production team members, such as camera operators and directors, is crucial to resolve problems in real time. Being prepared with backup plans and troubleshooting skills is essential to ensure a smooth broadcast and minimize disruptions.

What are popular job titles related to Live Streaming Operator jobs in Michigan?

For Live Streaming Operator jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Live Streaming Operator jobs in Michigan look for?

The top searched job categories for Live Streaming Operator jobs in Michigan are:

What cities in Michigan are hiring for Live Streaming Operator jobs?

Cities in Michigan with the most Live Streaming Operator job openings:

Live Streaming Operator jobs near you
Infographic showing various Live Streaming Operator job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $54,104 per year, or $26 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Lansing, MI • On-site

$180 - $240/hr

Other

Re-posted yesterday

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real‑time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What you’ll work across
  • Streaming, low‑latency speech‑to‑speech systems built on modern LLMs
  • Telephony and real‑time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency‑sensitive path, where p99 matters and a stall is something a caller hears
  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi‑model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM‑as‑judge and automated agent‑tests‑agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure
Traditional (non‑LLM) machine learning
  • End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real‑world data; calibration and explainability for non‑technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines
Cloud and infrastructure
  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least‑privilege access, strict data‑handling discipline
  • Observability and telemetry‑driven debugging, tracing a production issue from a metric anomaly to root cause
Plus

Occasional full‑stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What you’ll actually do
  • Ship and debug code on a live, real‑time voice pipeline where latency and correctness are user‑facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch‑analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor
Must‑haves
  • 7+ years building and operating production backend systems, with strong general‑purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands‑on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data
Nice‑to‑haves
  • Real‑time media or telephony experience
  • Front‑end / full‑stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)
How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply
  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

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