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Ai Video Jobs (NOW HIRING)

Netflix

Product Manager - AI Video

Los Gatos, CA · On-site

What You Will Do Own the vision, strategy, and execution of product-led research and the deployment of AI/ML powered video capabilities within the content production and studio domain. Lead deep ...

Netflix

Product Manager - AI Video

Los Angeles, CA · On-site

What You Will Do Own the vision, strategy, and execution of product-led research and the deployment of AI/ML powered video capabilities within the content production and studio domain. Lead deep ...

Netflix

Product Manager - AI Video

Los Gatos, CA · On-site

Own the vision, strategy, and execution of product-led research and the deployment of AI/ML powered video capabilities within the content production and studio domain. * Lead deep discovery to ...

Higgsfield AI

AI Educator

Los Angeles, CA · On-site

$100K - $125K/yr

We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native ...

Mercury Radio Arts

Sr. Video Editor (Remote)

Irving, TX · Remote

$70K - $80K/yr

Experience generating AI video (Google AI/Veo 3, Sona, Kling, etc * Experience editing multi-camera productions and audio-driven content * Knowledge of social media best practices, aspect ratios, and ...

Medidata Solutions

Video Specialist

New York, NY · On-site

AI-Enhanced Workflow Exploration: Partner with the creative team to learn, experiment with, and integrate Generative AI video and audio tools into the workflow to accelerate asset production and ...

3ds

Video Specialist

New York, NY · On-site

AI-Enhanced Workflow Exploration: Partner with the creative team to learn, experiment with, and integrate Generative AI video and audio tools into the workflow to accelerate asset production and ...

Lavendo

BDR, AI Video (Remote - US)

San Francisco, CA · On-site +1

$90K - $110K/yr

About the Company Our client is an early-stage AI Video startup backed by $8M in seed funding from top-tier investors, including Khosla Ventures and Air Street Capital. They've built an AI platform ...

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All JobsAi Video Jobs

Ai Video information

See salary details

$25K

$74.6K

$160.5K

How much do ai video jobs pay per year?

As of Jun 30, 2026, the average yearly pay for ai video in the United States is $74,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $94,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Ai Video position, and why are they important?

To thrive in an AI Video role, you need strong expertise in video editing, machine learning, and computer vision concepts, typically supported by a degree in computer science, media technology, or a related field. Familiarity with AI-driven video platforms, editing software (like Adobe Premiere or Final Cut), and frameworks such as TensorFlow or OpenCV is essential. Creative problem-solving, adaptability, and effective collaboration are key soft skills for excelling in multidisciplinary environments. These abilities enable you to deliver innovative video solutions, stay current with evolving technologies, and work efficiently within a team.

What is an AI Video job?

An AI Video job involves creating, editing, or enhancing videos using artificial intelligence technologies. This can include automating video production, utilizing deep learning models for effects, or optimizing video content with AI-driven analytics. Professionals in this field work with AI tools for tasks like deepfake generation, motion tracking, or real-time video enhancement. The role may also involve developing AI-driven scripts or workflows to streamline video production. AI Video specialists often collaborate with designers, developers, and content creators to produce high-quality visual content.

What types of projects do professionals in AI Video roles typically work on?

AI Video professionals often work on projects involving automated video editing, content recommendation systems, facial recognition, scene detection, and video analytics for sectors like media, advertising, or e-learning. Daily responsibilities might include developing and testing AI models, integrating new video features, or collaborating with designers, developers, and content creators to deploy intelligent video solutions. These projects can range from enhancing user engagement on streaming platforms to automating post-production workflows. The role offers opportunities to innovate with cutting-edge technology and contribute to impactful media experiences.

More about Ai Video jobs
What cities are hiring for Ai Video jobs? Cities with the most Ai Video job openings:
What are the most commonly searched types of Ai Video jobs? The most popular types of Ai Video jobs are:
What states have the most Ai Video jobs? States with the most job openings for Ai Video jobs include:
What job categories do people searching Ai Video jobs look for? The top searched job categories for Ai Video jobs are:
Ai Video jobs near you
Infographic showing various Ai Video job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $74,626 per year, or $35.9 per hour.

Founding AI / Motion Video Producer

Loop AI

San Francisco, CA

$6.0K - $15K/mo

Contractor

Posted 25 days ago

Job description

About Loop AI:
 

Loop AI is an agentic restaurant intelligence software that augments the back office of restaurant chains by automating workflows and delivering intelligence across the finance, operations and marketing functions. Loop deploys AI agents built by our in-house team of AI engineers, strategists and subject matter experts into restaurant brands - bringing industry best practices in handling complex internal functions. We have offices in San Francisco, New York, Tampa and India.

Loop is one of the fastest growing restaurant technology companies powering a few billion dollars in revenue and growing to serve 10K+ restaurants within 3 years across some of the most recognizable brands of the USA (McDonald's, Burger King, Sweetgreen, Dave's Hot Chicken - to name a few), helping them grow their topline & bottomline.

Loop is built by a world class team of entrepreneurs, operators, leaders and AI engineers from different industries, ranging from cutting edge big-tech, management consulting, investment banking among others across companies like Uber, Google, Amazon, McKinsey and others.

About the Role:

You're here to define how Loop talks to its customers on screen - and to build the AI-leveraged engine that does it at the pace we ship product.

Loop's products power a few billion dollars in delivery revenue and are landing in the hands of tens of thousands of restaurant operators. Most of them don't have the time to read through docs - they learn through video, on a phone, between shifts, with a delivery tablet in the other hand. The version of customer education that wins for Loop is video-first. The version of that system that works at our scale is templated and AI-leveraged.

The person we want thinks in three lenses at once:

  • The base - the design language and clip library that everything is built off

  • The pipeline - the workflow (AI-leveraged or otherwise) that turns idea into finished video in hours/days, not weeks

  • Scalability - the system that survives weekly product change and scales to hundreds of customers without rebuilding from zero

You'll be working with the agent owners, the GMs, and the CSMs - figuring out what an operator actually needs to see, then templatizing and pipelining it so we never re-invent.

What you'll own

  • The base. Loop's video design language - visual style, brand voice on camera, sound, reusable clip library, templates for the recurring video shapes (onboarding, training, per-customer value, agent walkthroughs).

  • The pipeline. The AI-leveraged production stack - pair the templates with the right model and editing layer (After Effects, Remotion, Runway, Veo, Kling, Claude skills, Clueso, etc.) so a per-customer video takes hours/days, not weeks.

  • The translation. Take raw context - synopses, pod owner briefs, customer call recordings - and turn it into the script, storyboard, and finished video. The leap from "what we want to teach" to "what an operator actually finishes watching" is where this role exists.

  • Scalability. A workflow others can run - standards docs, prompt libraries, model handoffs, the rebuild-resistant approach that survives Loop shipping product weekly.

  • The proving set. 15-20 on-brand 60-90 sec explainers in the first phase (30 days) 

The quality bar. Push back on off-brand work. If it ships under your name and it's flat or off, that's on you.
What you've done before:

  • Produced product or brand video at a SaaS / consumer / agency context where the bar was high and the cadence was real 

  • Built a template / system / design language for video - not just shipped individual assets. You've already proved you can scale yourself

  • Fluent across the traditional (After Effects, Premiere Pro) and modern AI-video stack - Remotion, Runway, Veo, Kling, Claude skills, etc.. You have a point of view on when to use which (programmatic vs. gen video vs. voice clone vs. editing assistant) and you've shipped on it. Sometimes the answer is After Effects. Sometimes it is Remotion. Sometimes it is a clean screen recording with smart annotations. Sometimes it is a reusable template that can generate 50 customer-specific variants. You should know the difference.

  • Worked in-person with product and GTM teams to extract context and translate it into video - fast

  • Held the quality bar against deadline pressure. The answer to "ship it ugly" is a no from you

$6,000 - $15,000 a month
Engagement shape:
 

  • Contract: 2 months to start, extendable based on output. Open to a longer term if it works on both sides.

  • Hybrid. The work depends on being in the room with the people (at least a few in-person sprints) who own the product surface and the customer calls. 

  • Compensation. Tell us what you need to do it well - rate, tools, model credits - and we work back from the outcome.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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