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Video Tagging Jobs in California (NOW HIRING)

... video call Product Manager, AI Key Responsibilities Partner with engineering and AI/ML teams to ... Strong understanding of model training pipelines, tagging systems, and metadata management.

Architect and optimize distributed multimodal inference pipelines for large-scale image, video, and audio captioning, tagging, and metadata generation. * Drive LLM/VLM inference optimization ...

Architect and optimize distributed multimodal inference pipelines for large-scale image, video, and audio captioning, tagging, and metadata generation. * Drive LLM/VLM inference optimization ...

Experience working with video production teams on simulive and VOD workflows. * Strong eye for ... Ensure VOD content is cataloged and published on time, including metadata, tagging, and closed ...

... manual tagging efficiencies in ad verification platform for digital and CTV media. Desired ... video specs for 3rd party pixel and transcoding edits. Working knowledge of cross domain tracking ...

... media, video, and beyond. The ideal candidate will be highly skilled in managing the administration, tagging and customization of web analytics tools. Typical tasks will include constructing and ...

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Video Tagging information

See California salary details

$25.7K

$59K

$93.8K

How much do video tagging jobs pay per year?

As of Aug 9, 2026, the average yearly pay for video tagging in California is $59,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,400.00 and $68,600.00 per year, depending on experience, location, and employer.

What is a video tagging?

A Video Tagging job involves analyzing video content and assigning relevant tags or metadata to improve searchability, categorization, and recommendations. This process helps video platforms, advertisers, and machine learning models understand and organize video content more efficiently. Taggers may use predefined guidelines to label objects, actions, emotions, or themes present in the footage. The role is crucial in enhancing user experience and optimizing content discovery.

What are the key skills and qualifications needed to thrive in video tagging?

To thrive as a Video Tagging professional, you need strong attention to detail, proficiency in video analysis, and familiarity with digital asset management—typically supported by experience with multimedia content. Knowledge of video tagging software, metadata standards, and organization systems is commonly required. Excellent time management, communication skills, and a collaborative mindset help individuals excel when working with content teams and meeting project deadlines. These capabilities ensure accurate metadata tagging, streamlined content retrieval, and overall higher efficiency in media operations.

What are some typical challenges faced by video tagging professionals and how can they be managed?

Video Tagging professionals often encounter challenges such as managing large volumes of video content, accurately applying detailed metadata, and staying up to date with evolving content standards. Attention to detail is crucial, as inconsistencies can hinder content searchability and usability for creative or technical teams. Utilizing efficient tagging tools, establishing clear guidelines, and working closely with team members help address these challenges. Regular training and communication with supervisors also ensure that tagging practices remain consistent and effective across projects.

What are the most commonly searched types of Video Tagging jobs in California? The most popular types of Video Tagging jobs in California are:
What job categories do people searching Video Tagging jobs in California look for? The top searched job categories for Video Tagging jobs in California are:
What cities in California are hiring for Video Tagging jobs? Cities in California with the most Video Tagging job openings:
Infographic showing various Video Tagging job openings in California as of July 2026, with employment types broken down into 6% Internship, 40% Full Time, 44% Part Time, and 10% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $59,005 per year, or $28.4 per hour.

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

TikTok

San Jose, CA • On-site

$162K - $387K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

107th of 242 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 $162000 - $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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