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Contract Video Labelling Jobs in California (NOW HIRING)

Umusic

Coordinator, Visual Creative

Santa Monica, CA

... label partners. * Archiving final approved delivered assets + corresponding hard drives / files / elements. * Adaptall contracts within the department for art / photo / music video / misc content.

Umusic

Director, Catalog Creative

Los Angeles, CA

... label based on project needs to craft universally compelling creative. As a Director, you will ... Oversee creation of artist project visual assets (ex. music video / press & DSP photos / concept ...

Rivian

Sr. Software Analyst, Data, Autonomy

Palo Alto, CA · On-site

$132.10 - $165.10/hr

... labeling policies. * Manage relationships with various vendors, including contract and quote review ... Experience analyzing LiDAR point clouds, video, and image annotation data. * Ability to manage ...

Firebird Music

VP, Sync Licensing

Los Angeles, CA · On-site

$160K - $200K/yr

About the Role This newly created role is responsible for building out Firebird Label Services ... Comprehensive knowledge of contract execution and administrative procedures as they relate to ...

TEKsystems

AI Art Director

Palo Alto, CA · Remote

$50/hr

... or labeling training data for AI/ML models - Experience with the latest AI image and video ... Contract position based out of Palo Alto, CA. Pay and Benefits The pay range for this position is ...

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Showing results 41-60

All JobsContract Video Labelling JobsContract Video Labelling Jobs in California

Contract Video Labelling information

What is the difference between Contract Video Labelling vs Data Annotation Specialist?

AspectContract Video LabellingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar, often with additional domain-specific knowledge
Work EnvironmentRemote or on-site, project-basedRemote or on-site, often in tech or AI companies
Industry UsagePrimarily in autonomous vehicles, surveillance, AI trainingBroader, including AI, machine learning, and data analysis

Contract Video Labelling and Data Annotation Specialist roles both involve labeling data for AI training. However, Contract Video Labelling focuses specifically on annotating video content, while Data Annotation Specialists may work with various data types, including images, text, and audio. Both roles require attention to detail and similar skills, but Contract Video Labelling is more specialized in video data, often in industries like autonomous vehicles and surveillance.

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 Contract Video Labelling jobs in California?

For Contract Video Labelling jobs in California, the most frequently searched job titles are:

What job categories do people searching Contract Video Labelling jobs in California look for?

The top searched job categories for Contract Video Labelling jobs in California are:

What cities in California are hiring for Contract Video Labelling jobs?

Cities in California with the most Contract Video Labelling job openings:

Contract Video Labelling jobs near you
Infographic showing various Contract Video Labelling job openings in California as of June 2026, with employment types broken down into 68% Full Time, and 32% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Project Perseus \u007C Data Labeling Associate - Arabic Speakers (Human-in-the-Loop AI)

Welo Data

Sunnyvale, CA

$34/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

Overview

Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.

This is not a traditional annotation role.

You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.

We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.

Project Details

  • Job Title: Data Labeling Associate
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $34/hour
  • Contract Duration: 1-year contract with possibility of extension
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.
What You’ll Do
  • Evaluate AI model outputs and provide structured, high-quality feedback
  • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
  • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
  • Contribute to improving evaluation frameworks, not just executing them
  • Identify trends in model performance and communicate insights clearly
  • Participate in team discussions, calibrations, and stakeholder syncs
  • Partner with leads and cross-functional teams to refine quality standards
  • Document findings in a clear, concise, and actionable way
What We’re Looking For
  • Native-level language proficiency and a university degree (Bachelor’s or higher).
  • B2 or superior level of English.  
  • 1–2 years of professional writing experience with strong, structured writing skills
  • Ability to apply complex writing rules and guidelines consistently
  • Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
  • Strong critical thinking and attention to detail
  • Ability to make sound judgment calls in ambiguous situations
  • Naturally curious about AI, technology, and how systems behave
  • Comfortable speaking up, asking questions, and contributing ideas
  • Strong written and verbal communication skills
  • Ability to stay consistent while working with evolving guidelines
  • Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

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.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.