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Video Labelling Jobs in California (NOW HIRING)

We offer PaaS technical products of white label OTT/video streaming applications, live/linear playback (FAST channels), and AdOps/RevOps/monetization services. We directly power 90+ brands, over 300 ...

We offer PaaS technical products of white label OTT/video streaming applications, live/linear playback (FAST channels), and AdOps/RevOps/monetization services. We directly power 90+ brands, over 300 ...

Creates, labels, saves, transfers, downloads, and manages digital images, video evidence, and other media using specialized software. Makes public announcements, provides warnings, and communicates ...

AI Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Work with messy, multimodal sports data from tracking systems, video and computer vision outputs, audio, commentary, text, and structured feeds, including imperfect labels and ambiguous real-world ...

Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots * Collaborate with ML engineers to refine labeling guidelines and ...

Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots * Collaborate with ML engineers to refine labeling guidelines and ...

... label requirements, and overall business objectives. * Lead, mentor, and inspire medical writers ... Apply strong conceptual and visual judgment across print, digital, video, and presentation formats ...

AI Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Work with messy, multimodal sports data from tracking systems, video and computer vision outputs, audio, commentary, text, and structured feeds, including imperfect labels and ambiguous real-world ...

Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in ... Building and scaling a production-grade data-collection, labelling, and model re-training platform

Showing results 41-60

Video Labelling information

What does a video labelling do?

A typical day in Video Labelling involves reviewing video footage, identifying and annotating specific objects or events according to project guidelines, and entering this data into specialized software tools. Team members often collaborate with data scientists, engineers, or quality assurance leads to ensure accuracy and consistency in the annotations. Depending on the project and employer, you may work independently or as part of a larger team, sometimes with set quotas or deadlines. This work is crucial for developing and refining AI and machine learning models, making attention to detail and adherence to standards especially important. Over time, experienced video labelling professionals may progress to quality assurance roles or team leads overseeing larger annotation projects.

What are the key skills and qualifications needed to thrive in video labelling, and why are they important?

To thrive as a Video Labelling professional, you should have excellent attention to detail, basic computer proficiency, and familiarity with visual content analysis. Knowledge of annotation platforms, video editing software, or AI training tools is often required, and experience with data labelling systems can be beneficial. Strong communication, reliability, and the ability to follow detailed guidelines are important soft skills for this role. These abilities ensure high-quality, consistent data annotation that directly supports machine learning and computer vision projects.

What is a video labelling?

A Video Labelling job involves annotating or tagging objects, actions, or events in video footage to train machine learning models. This process helps AI systems recognize and interpret visual data accurately. Tasks may include drawing bounding boxes, classifying scenes, or adding timestamps for specific events. Video labelling is commonly used in industries like autonomous driving, security surveillance, and content moderation.

What are the most commonly searched types of Video Labelling jobs in California? The most popular types of Video Labelling jobs in California are:
What are popular job titles related to Video Labelling jobs in California? For Video Labelling jobs in California, the most frequently searched job titles are:
What job categories do people searching Video Labelling jobs in California look for? The top searched job categories for Video Labelling jobs in California are:
What cities in California are hiring for Video Labelling jobs? Cities in California with the most Video Labelling job openings:
Infographic showing various Video Labelling job openings in California as of July 2026, with employment types broken down into 81% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Deep Learning Algorithm Developer with Security Clearance

Toyon Research Corporation

Goleta, CA • On-site

$120K - $200K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

> Deep Learning Algorithm Developer Toyon Research Corporation Deep Learning Algorithm Developer Goleta, CA Description U.S. Citizenship is Required. Ability to qualify for a US Department of Defense security clearance required. This position is in-person. Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Computer Vision is desired for current openings. Our researchers apply AI/ML techniques to develop data processing automation solutions for problems in remote sensing, video-based tracking, low-shot classification, 3D reconstruction, and other application areas including platform control. Requirements Candidates for the Deep Learning Algorithm Developer position should have a strong background in engineering, computer science, physics, and/or mathematics. Experience with PyTorch, TensorFlow, or other deep learning frameworks is required. An advanced degree (M.S./Ph.D.) or a Bachelor’s degree and at least two years of industry experience is required.  WE OFFER AN EXCEPTIONAL EMPLOYEE BENEFITS PACKAGE! * Competitive Industry Pay
* 100% Employer-Paid Medical Insurance Premium
* HSA with Employer Contributions
* Dental and Vision Coverage Options
* Paid Holidays
* Paid Vacation and Sick leave
* Company Funded 401(k) and Profit Sharing Plans
* Employee Stock Ownership Plan (ESOP)
* Life and Disability Insurance  
* Paid Parental Leave
* Discretionary Bonus Eligibility
The annual pay range for the Deep Learning Algorithm Developer position is $120,000 to $200,000. The posted pay range values provide the candidate with guidance on annual base compensation for the position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related compensation, over a range of qualifications that may fit hiring objectives. Toyon Research Corporation will consider the individual candidate’s education, work experience, applicable knowledge, skills and training, among other factors, when preparing an offer of employment.  Equal Opportunity Employer including Disability and Veterans   Applicant Privacy Notice  Learn more about our company in our latest video, We are Toyon.  Ref #2604-C Powered by Privacy Policy | Payroll & HR Software Toyon Research Corporation: Privacy Policy By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. Cookies Settings Accept All Cookies Privacy Preference Center When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. The information does not usually directly identify you, but it can give you a more personalized web experience. Because we respect your right to privacy, you can choose not to allow some types of cookies. Click on the different category headings to find out more and change our default settings. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. More information
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