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Full Time Video Annotation Jobs in California (NOW HIRING)

Use proprietary annotation tools to label objects, poses, and interactions in images and video ... The US base salary range for this full-time position starts at $30/hr. The pay offered for this ...

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Full Time Video Annotation information

What are some common challenges faced in a full-time video annotation role, and how can they be addressed?

A common challenge in full-time video annotation is maintaining high accuracy and consistency while labeling large volumes of video data, which can be repetitive and mentally demanding. Annotators must stay focused to avoid errors, especially when distinguishing subtle differences between objects or actions across frames. To address these challenges, it's helpful to take regular short breaks, collaborate with teammates on ambiguous cases, and make use of detailed annotation guidelines provided by the employer. Many companies also offer feedback sessions and quality assurance checks to help annotators improve their work and learn best practices.

What is a Full Time Video Annotation job?

A Full Time Video Annotation job involves watching video footage and labeling or tagging specific objects, actions, or events within the video. This work is essential for training artificial intelligence and machine learning models, especially in areas like self-driving cars, security, and content moderation. Full-time annotators are expected to maintain high accuracy and consistency while working with large volumes of data. The job may require familiarity with specialized annotation tools, attention to detail, and sometimes, a basic understanding of the domain featured in the videos.

What is the difference between Full Time Video Annotation vs Data Labeling Specialist?

AspectFull Time Video AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; training in annotation toolsHigh school diploma or equivalent; training in labeling techniques
Work EnvironmentRemote or office-based, using annotation softwareRemote or office-based, using labeling platforms
Industry UsageAutonomous vehicles, AI training, surveillanceMachine learning, AI datasets, computer vision

Full Time Video Annotation involves detailed labeling of video data for AI training, often requiring specific software skills. Data Labeling Specialists focus on annotating various data types, including images and text. Both roles are essential in AI development, but Full Time Video Annotation emphasizes video-specific tasks and tools.

What are the key skills and qualifications needed to thrive as a Full Time Video Annotation Specialist, and why are they important?

To thrive as a Full Time Video Annotation Specialist, you need strong attention to detail, familiarity with video formats, and basic computer literacy, often supported by a high school diploma or equivalent. Experience using annotation tools like CVAT, Labelbox, or VGG Image Annotator is typically required, and knowledge of data labeling standards is a plus. Excellent time management, communication skills, and the ability to focus for extended periods make someone stand out in this position. These skills and qualities are vital for producing accurate, high-quality datasets that power machine learning and AI applications.
What are the most commonly searched types of Video Annotation jobs in California? The most popular types of Video Annotation jobs in California are:
What are popular job titles related to Full Time Video Annotation jobs in California? For Full Time Video Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Full Time Video Annotation jobs in California look for? The top searched job categories for Full Time Video Annotation jobs in California are:
What cities in California are hiring for Full Time Video Annotation jobs? Cities in California with the most Full Time Video Annotation job openings:
Data Annotation Specialist (Contractor)

Data Annotation Specialist (Contractor)

Collectors Holdings, Inc.

Santa Ana, CA โ€ข On-site

$25 - $30/hr

Full-time

Posted 9 days ago


Job description

Collectors is the leading creator of innovative technology that provides value-added services for collectors worldwide. We grade, authenticate, vault, and sell millions of record-setting collectibles, all while modernizing and digitalizing the process to further our mission of helping collectors pursue their passions. We're always on the lookout for talented people to join our growing team.
Our services span collectible trading cards, autographs, comic books, coins, video games, event tickets, and memorabilia. Our subsidiaries include PSA, PCGS, Beckett, SGC, and Card Ladder.
Since our founding in 1986, we have graded and authenticated millions of items. We employ more than 3000 people across our headquarters in Santa Ana, California and offices in New Jersey, Texas, Florida, Japan, Shanghai, Hong Kong, Canada, Mexico, Germany, and France.
As part of our interview process, we request that candidates have their cameras on during video interviews. This helps foster meaningful conversation and allows us to create an experience that closely resembles our standard working environment. Certain interview steps may take place by phone. For remote roles, and at our discretion, candidates may be asked to participate in an on-site interview as part of the final stages of the process.
We understand there may be occasional circumstances requiring accommodation and are happy to discuss them as needed. Your recruiter will be able to clarify expectations and answer any questions you have.
We're looking for a Data Annotation Specialist contractor who can work full-time (40 hours per week) for an 8-week on-site (Santa Ana) contract assignment with our AI/ML Team. As a Data Annotation Specialist, you will support a high-priority initiative focused on building high-quality training data for our machine learning models. Your work will involve reviewing images, following detailed labeling guidelines, and accurately annotating data within our internal software. You will be motivated to reach your goals and deadlines as you focus on accurately labeling, tagging, and categorizing large datasets.
You'll report to AI/ML Director and work from our Santa Ana, CA office headquarters.
Onsite Requirement:
This role requires you to be onsite in the office 5 days per week.
What You'll Do:
  • Prepare and annotate large volumes of data with precision, efficiency, and within project timelines
  • Collaborate with team members to ensure data is labeled consistently and accurately according to defined guidelines
  • Perform quality control checks to maintain high levels of annotation accuracy
  • Communicate effectively with stakeholders to understand project requirements and labeling specifications
  • Continuously improve annotation workflows to increase efficiency and reduce errors

Who You Are:
  • You have a personal interest in collectibles, trading cards, coins, or related hobbyist markets (not required, but it helps)
  • You have a keen eye for accuracy and strong attention to detail
  • You are motivated by clear goals and consistent, measurable output, and can maintain focus through repetitive, high-volume work
  • You work well both independently and as part of a team, with strong time management and minimal need for oversight
  • You communicate clearly and are comfortable asking critical questions
  • You are comfortable with standard computer tools and data management systems
  • Familiarity with data annotation tools or similar software and data formats such as CSV, JSON, and XML
  • Prior experience with detail-oriented data work, QA, or repetitive precision tasks

Training you will receive in the role:
  • Annotation Tools - Training on internal software to efficiently label large datasets
  • Data Management - Training on data management practices to organize and maintain accurate, high-quality datasets
  • Quality Control - Training on QC methods to ensure data meets accuracy and consistency standards
  • Machine Learning Concepts - For interested candidates, an introduction to the basics of machine learning concepts and how annotation supports model training

Physical Requirements:
  • Computer Use: Typing, mouse work, and sitting and looking at a computer potentially for long periods of time
  • Hand Use: Regular hand use for various tasks
  • Hearing Requirements: Ability to hear alarms, signals, and verbal instructions
  • Lifting and Carrying: Ability to routinely lift, carry, and move materials up to 40 pounds
  • Sitting: Ability to sit for extended periods of time
  • Sitting or Standing: Ability to sit or stand for extended periods of time
  • Vision: Using vision aiding devices, as well as sitting in dark or dimly lit rooms with soft desk lighting

Hourly Range:
The hourly range for this position is $25 - $30. Actual compensation in this range will be based on a variety of non-discriminatory factors, including location, job level, prior experience, and skill set.
Candidates must be authorized to work in the United States.
Collectors uses e-Verify to validate your ability to work legally in the United States.
We are aware that there are instances where individuals are receiving job offers that fraudulently allege to be from Collectors or one of our business units. This type of fraud can be carried out through false websites, through fake e-mails claiming to be from the company or through social media. We never ask for personal information such as your bank account, Social Security numbers or National IDs, nor do we send or request payments for the purchase of business-related equipment. If you suspect fraud, please reach out to people@collectors.com.
We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We believe that a team that represents a variety of backgrounds, perspectives, and skills will better service the diverse community of collectors we support.
If you require an accommodation to apply or interview with us due to a disability or special need, please email people@collectors.com.
U.S. residents: for disclosures relating to personal information we collect during the employment application and recruitment process, please see our Privacy Notice for U.S. Applicants.
If you are based in California, you can read information for California residents here.