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Video Labelling Jobs in California (NOW HIRING)

Familiarity with large-scale crawling of multimodal data and the associated challenges of video processing, codecs, and compression. • Taxonomy Design: Experience in designing complex labeling ...

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Annotate and QA images and video for detection, segmentation, and classification - and build the ... Help shape labeling schemas and class taxonomies as edge cases arise * Run baseline YOLO training ...

LLM Dataset Engineer

San Francisco, CA · On-site

$155K - $210K/yr

Familiarity with large-scale crawling of multimodal data and the associated challenges of video processing, codecs, and compression. * Taxonomy Design: Experience in designing complex labeling ...

Project Manager

Los Angeles, CA · On-site

$70K - $80K/yr

The company operates as a record label, distribution company, and entertainment network which ... Commission video and photo content such as: music videos (i.e. director selection, treatment and ...

Partner with label digital teams to ensure campaigns are innovative and platform-native, with a strong emphasis on video strategy, fan engagement, and discovery through YouTube and emerging formats ...

Partner with label digital teams to ensure campaigns are innovative and platform-native, with a strong emphasis on video strategy, fan engagement, and discovery through YouTube and emerging formats ...

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

... per video stream to enable massive scalability of our SaaS product. * Data Management: Building, improving, maintaining, and operating systems to facilitate the collection, labeling, and use of ...

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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 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 4% Internship, 80% Full Time, 12% Part Time, and 4% Nights. Highlights an 100% In-person job distribution.
Machine Learning Engineer - TikTok Short Video Content Understanding/Multimodal Recommendation

Machine Learning Engineer - TikTok Short Video Content Understanding/Multimodal Recommendation

TikTok

San Jose, CA • On-site

$156K - $387K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 18 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

87th of 209 rated software companies


Job description

Responsibilities
Our team's mission is to empower content understanding for TikTok Short Video business. We focus on cutting-edge research in content understanding and the development of advanced LLM/MLLM algorithms and applications, including generative recommendation, weakly-supervised learning, few-shot classification, video tagging, multi-task learning, multilingual learning, multimodal pretraining, and more. We aim to succeed both in driving measurable business impact (e.g., recommendation metrics) and delivering state-of-the-art research outputs. Responsibilities 1. Lead multimodal algorithm development for TikTok's short-video business, explore applications of multimodal technologies in recommendation systems and other scenarios to improve key business metrics. 2. Conduct cutting-edge research in multimodal and MLLM technologies, design advanced algorithms to solve business requirements while achieving technical breakthroughs. 3. Drive engineering deployment and implementation, ensuring model stability, scalability, and efficiency in production environments. 4. Focus on key areas including (but not limited to): - General AI platform design and development, including few-shot/zero-shot on MLLM, AI-labeling, auto prompting, active-learning, continue pretraining and RL. - Integration of content understanding with recommendation systems (e.g., UGC ecosystems, cold start, interest exploration, comment understanding). - Leveraging multimodal techniques to develop next-generation recommendation systems, such as generative models and end-to-end approaches.
Qualifications
Minimum Qualifications 1. Proven experience in multimodal content understanding, with expertise in large language models (LLMs) and familiarity with cutting-edge progress in the field. 2. Strong technical foundation in at least one major deep learning framework (e.g., PyTorch, TensorFlow). 3. Proactive mindset, strong sense of ownership, excellent communication skills, and ability to collaborate across teams. Preferred Qualification 1. Hands-on experience deploying content understanding solutions in search, advertising, recommendation, or related domains.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $156000 - $387600 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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