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Live Stream Camera Operator Jobs in Oklahoma (NOW HIRING)

The News Photographer operates television or video cameras to record images or scenes for news ... Operates live microwave and satellite trucks in remote situations * Performs other duties as ...

The News Photographer operates television or video cameras to record images or scenes for news ... Operates live microwave and satellite trucks in remote situations * Performs other duties as ...

$86K - $198K/yr

You can derive information from complex military operations and apply data to Live, Virtual, and ... You are expected to be on camera during interviews and assessments. We reserve the right to take ...

Filmmaking Tutor

Tulsa, OK · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Guides students through writing screenplays, storyboarding scenes, operating cameras, setting up ...

Filmmaking Tutor

Oklahoma City, OK · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Guides students through writing screenplays, storyboarding scenes, operating cameras, setting up ...

Filmmaking Tutor

Stillwater, OK · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Guides students through writing screenplays, storyboarding scenes, operating cameras, setting up ...

... operating procedures to protect customers, teammates, and product. • Take an owner/operator ... You live the "Always on, Never no" mindset with a positive, can do attitude. • Execution: Take an ...

Follow all safety, loss prevention, and standard operating procedures to protect customers ... You live the "Always on, Never no" mindset with a positive, can do attitude. Execution: Take an ...

... operating procedures to protect customers, teammates, and product. • Take an owner/operator ... You live the "Always on, Never no" mindset with a positive, can do attitude. • Execution: Take an ...

Showing results 21-40

Live Stream Camera Operator information

What is the difference between Live Stream Camera Operator vs Video Camera Operator?

AspectLive Stream Camera OperatorVideo Camera Operator
CredentialsMay require technical certifications or training in live streamingOften requires general camera operation training or a media production background
Work EnvironmentPrimarily in live event settings, studios, or remote locations for streamingIn various settings including film, TV, events, and studio productions
Industry UsageUsed in live broadcasting, online events, webinarsUsed in film, television, commercial shoots, and recorded content

While both roles involve operating cameras, the Live Stream Camera Operator specializes in real-time broadcasting for online platforms and live events, requiring skills in streaming technology. The Video Camera Operator typically focuses on recording and filming for later editing and distribution. Understanding these differences helps in choosing the right career path or job search focus.

What are some common challenges faced by live stream camera operators during live events, and how can they be managed?

Live Stream Camera Operators often encounter challenges such as unpredictable lighting, fast-paced subject movement, and the need to coordinate seamlessly with production teams in real time. Managing these challenges typically involves thorough pre-event planning, clear communication with directors and technical staff, and quick adaptability to changing conditions on set. Operators should also stay updated on the latest streaming and camera technologies to ensure high-quality broadcasts under various circumstances.

What is a live stream camera operator?

A live stream camera operator is a professional responsible for operating cameras during live broadcasting events, such as concerts, conferences, sports, or online streams. Their main duties include setting up camera equipment, framing shots, adjusting focus, and ensuring high-quality visuals throughout the live event. They work closely with directors and production teams to capture dynamic and engaging footage that meets the needs of the broadcast. In addition to technical camera operation, they may also troubleshoot equipment and adapt quickly to changing scenarios during live production.

How do I become a live stream camera operator?

To become a live stream camera operator, you should gain experience with video cameras and streaming equipment, often through technical training or a related degree. Developing skills in camera operation, understanding streaming platforms, and obtaining certifications can improve job prospects; familiarity with editing software and good communication skills are also beneficial.

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

To thrive as a Live Stream Camera Operator, you need expertise in camera operation, video production principles, and often a degree or certification in film, broadcasting, or a related field. Familiarity with live streaming platforms, broadcast switchers, and video encoding software is typically required. Strong communication, quick problem-solving, and the ability to stay calm under pressure help operators respond to real-time challenges and collaborate with production teams. These skills are essential for ensuring smooth, high-quality live broadcasts that engage audiences and meet technical standards.

What are popular job titles related to Live Stream Camera Operator jobs in Oklahoma?

For Live Stream Camera Operator jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Live Stream Camera Operator jobs in Oklahoma look for?

The top searched job categories for Live Stream Camera Operator jobs in Oklahoma are:

What cities in Oklahoma are hiring for Live Stream Camera Operator jobs?

Cities in Oklahoma with the most Live Stream Camera Operator job openings:

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Oklahoma City, OK • On-site

$120 - $170/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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