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Remote Video Engineer Jobs in California (NOW HIRING)

Turing

Remote Senior Backend Engineer

San Francisco, CA · Remote

$200 - $300/hr

This role is ideal for engineers who have shipped high-impact products at fast-moving companies ... Completion of an AI video interview is required. Note: As part of assessments you will go through ...

GitGuardian

The interview process 1. Video call with a Talent Acquisition team member To discover your ... Monthly remote work stipend $70 * Complimentary access to Talk Space * Referral bonus of $4000 for ...

Stryker

Staff Software Engineer

San Jose, CA · On-site +1

$133K - $222K/yr

... Remote Procedure Calls (gRPC). Preferred: * Knowledge of Ethernet and IP networking, including ... Experienced in research and development of Video and Communication system/workflow design including ...

Magnite

Engineer II, Backend APIs

Los Angeles, CA · On-site +1

$125K - $135K/yr

... F remote, T/W/TH in-office) West Coast - Remote At Magnite, we cultivate an environment of ... video, display, and audio. Our tech fuels billions of transactions per day! About this team:

Magnite

Engineer II, Backend APIs

Los Angeles, CA · On-site +1

$125K - $135K/yr

... F remote, T/W/TH in-office) West Coast - Remote At Magnite, we cultivate an environment of ... video, display, and audio. Our tech fuels billions of transactions per day! About this team:

Sonance

Sales Engineer, Professional

San Clemente, CA · On-site +1

San Clemente, CA or Remote Description The US Sales Engineer for Professional Solutions will have a deep expertise in technical sales in the professional audio/video market. This individual will be ...

Foxglove

Applied ML Engineer

San Francisco, CA · On-site +1

... video, point cloud, and timeseries) robotics data * Design and implement evaluation and training ... remote only) * Competitive equity grant in a Series B company * Medical, Dental, Vision, and Term ...

SDVI Corporation

DevOps Software Engineer

Sunnyvale, CA · On-site +1

$110K - $190K/yr

North America (Remote) Compensation: $110,000 - $190,000 / year Description SDVI's DevOps team is ... video streaming to take place around the world. As a DevOps Engineer at SDVI, you'll follow best ...

Saga

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ... Experience with multi-modal AI (voice, image, video generation or processing) * Familiarity with ...

Saga

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ... Experience with multi-modal AI (voice, image, video generation or processing) * Familiarity with ...

Fox

Senior Network Architect

Los Angeles, CA · Remote

These systems underpin real-time video, audio, and data workflows where precision timing, multicast ... and traffic engineering solutions for live broadcast events, remote productions, and studio ...

Visual Concepts

Senior Engineer, Server - NBA 2K

Novato, CA · On-site +1

$130K - $174K/yr

What We Need: We're seeking a Senior Engineer with a passion for server-side development to join ... Love for video games (not just ours!) This is a fully remote role that may be based anywhere in the ...

2K

Senior Engineer, Server - NBA 2K

Novato, CA · On-site +1

$130K - $174K/yr

What We Need: We're seeking a Senior Engineer with a passion for server-side development to join ... Love for video games (not just ours!) This is a fully remote role that may be based anywhere in the ...

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All JobsRemote Video Engineer JobsRemote Video Engineer Jobs in California

Remote Video Engineer information

What is the difference between Remote Video Engineer vs Remote Video Technician?

AspectRemote Video EngineerRemote Video Technician
CredentialsBachelor's in Video Production, Engineering, or related field; certifications like CTS or CCVPTechnical diploma or associate degree; certifications like CTS or AVIXA
Work EnvironmentDesign, troubleshoot, and optimize video systems remotely; collaborate with engineers and clientsInstall, maintain, and repair video equipment remotely or on-site; support live events and setups
Employer & Industry UsageMedia companies, broadcast, corporate AV departments, remote system integratorsAV rental companies, broadcast facilities, corporate AV support teams

Remote Video Engineers focus on designing and troubleshooting complex video systems remotely, often requiring engineering knowledge and certifications. Remote Video Technicians handle installation, maintenance, and repair of video equipment, supporting live events and setups. Both roles are essential in the video industry but differ in scope and technical depth.

What are the most commonly searched types of Video Engineer jobs in California? The most popular types of Video Engineer jobs in California are:
What are popular job titles related to Remote Video Engineer jobs in California? For Remote Video Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Video Engineer jobs in California look for? The top searched job categories for Remote Video Engineer jobs in California are:
What cities in California are hiring for Remote Video Engineer jobs? Cities in California with the most Remote Video Engineer job openings:
Remote Video Engineer jobs near you
Infographic showing various Remote Video Engineer job openings in California as of June 2026, with employment types broken down into 73% Full Time, 11% Part Time, and 16% Contract. Highlights an 100% Remote job distribution.
Remote Senior Backend Engineer

Remote Senior Backend Engineer

Turing

San Francisco, CA • Remote

$200 - $300/hr

Contractor

Medical, PTO

Posted 4 days ago

Job description

About Us:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Ideal Background:
This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.

Project Overview:
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.

What Does a Typical Day Look Like?
  • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go.
  • Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
  • Build agents that can verify the quality of the code and identify error patterns across full-stack applications.
  • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
  • Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills:
  • Several years of software engineering experience (3 years or more).
  • Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases.
  • Experience deploying scalable, production-grade software using modern languages and tools.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
  • Excellent oral and written communication skills for clear, structured evaluation rationales.

Engagement Details:
  • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
  • Type: Contractor (no medical/paid leave).
  • Duration: 1 month (potential extensions based on performance and fit).
  • Location: Candidates must be based in the United States.

Evaluation Process:
  • The application process takes 15–30 minutes.
  • Completion of an AI video interview is required.

Note: As part of assessments you will go through an AI video interview.

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.