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Video Labelling Jobs in California (NOW HIRING)

OTTera Inc

Content Creator Intern

Hollywood, CA · On-site

$20/hr

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 ...

OTTera Inc

Content Creator Intern

Los Angeles, CA · On-site

$20/hr

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 ...

Figure

Data Quality Analyst

San Jose, CA

$30/hr

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 ...

Figure

Data Quality Analyst

San Jose, CA · On-site

$30/hr

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 ...

Specter

ML Research Engineer

San Francisco, CA · On-site

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

Specter

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in ... Own the end-to-end relationship with our data labeling provider, including task scoping, timeline ...

J&J Snack Foods

Utility Relief

Vernon, CA · On-site

... Labels, Correct bag, code date, etc. * Ability to operate code dater video jet computer to change codes, times, dates, & production line #1 on master case as needed. * Must be able to speak, read ...

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Video Labelling information

What does a typical day look like for someone working in Video Labelling?

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 the Video Labelling position, 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.

Is there a job that pays you to watch movies?

Video labeling jobs often involve watching movies or video content to annotate or categorize scenes for training AI models. These roles require attention to detail and familiarity with editing tools, and they are typically part-time or freelance positions. Such jobs are common in the tech and AI industries and may require basic computer skills and quality assurance checks.

What is a video labelling job?

A video labelling job involves reviewing and annotating video content to help train machine learning algorithms, such as for autonomous vehicles or content moderation. Workers typically use specialized tools to add tags, labels, or metadata to specific frames or segments, often working remotely with flexible schedules.

What jobs in the US pay 300,000 a year?

In the field of video labelling, high-paying roles typically do not reach $300,000 annually; such salaries are more common in executive, specialized technical, or management positions. Most video labelling jobs are entry-level or mid-tier roles with salaries significantly below that threshold. Advanced roles in related fields like AI development or data science may approach or exceed this level with experience and advanced skills.

What skills do you need for video annotation?

Video labeling requires attention to detail, strong visual perception, and the ability to accurately identify and categorize objects, actions, or scenes. Familiarity with annotation tools and basic understanding of video formats and data organization are also important skills for effective video annotation work.

What is a Video Labelling job?

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:
Video Labelling jobs near you
Infographic showing various Video Labelling job openings in California as of July 2026, with employment types broken down into 4% Internship, 80% Full Time, 12% Part Time, and 4% Nights. Highlights an 100% In-person job distribution.

ML Engineer

Futran Tech Solutions Pvt. Ltd.

San Francisco, CA • On-site

Full-time

Posted 6 days ago

Job description

Job Title: ML Engineer
Work Location: San Francisco, CA ( Onsite - Hybrid)
Job Description :
  • Custom classification detection recognition Models across stills and videos
  • Custom embeddings models
  • Metrics driven Model selection and evaluations
  • Internal Benchmark establishment with curated dataset
  • Drive dataset curation workstreams including data engineering with existing data
  • and human labeling operations
  • Implement papers on SOTA methodologies on video segmentation video
  • classification object face detection
  • Strong command of pytorch or tensorflowkeras
  • Incorporation of Multimodal processing including audio and text
  • Work with stakeholders directly to translate business problems to ML problems
  • Work with legal teams on model compliance

Primary Skills:
  • Machine Learning, Deep Learning, Computer Vision, Image and Video Processing, PyTorch, TensorFlow/Keras, Natural Language Processing (NLP), GenAI, State-of-the-Art (SOTA) Techniques, Video Segmentation, Object and Face Detection, Audio Processing, Text Processing, Multimodal Integration

Secondary Skills:
  • Python, Dashboard Creation, AWS/ Azure/Google Cloud Platform (GCP), Git, GitHub, JIRA, Confluence, Slack, Jenkins, Docker.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Safe return to office:
In order to comply with LTIMindtree' s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.

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