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Senior Video Annotation Jobs (NOW HIRING)

URBN

URBN Senior Data Scientist

Philadelphia, PA

This individual will lead algorithm development and Image/Video Generative AI initiatives ... annotation workflows, and synthetic data generation. * Analyze and benchmark model outputs for ...

URBN

URBN Senior Data Scientist

Philadelphia, PA · On-site

This individual will lead algorithm development and Image/Video Generative AI initiatives ... annotation workflows, and synthetic data generation. * Analyze and benchmark model outputs for ...

Nvidia

Engineering Manager, Data Labeling Platform

Direct front-end engineering for custom annotation interfaces across text, video, audio, speech ... We welcome senior individual contributors (ICs) with demonstrated tech-lead experience who are ...

Nvidia

Engineering Manager, Data Labeling Platform

Direct front-end engineering for custom annotation interfaces across text, video, audio, speech ... We welcome senior individual contributors (ICs) with demonstrated tech-lead experience who are ...

LVT

Staff Data Engineer

Seattle, WA

This is a senior individual-contributor and technical-leadership role; formal people management is ... Computer-vision / video annotation tooling and workflows (e.g. Encord, Labelbox, or similar)

Telus Digital

$132K - $215K/yr

... video, teleoperation, and physics-aware annotation across every embodiment. In the arena of data ... Communicate clearly and consistently with the Senior Sales Director on deal status, risk factors ...

AIcadium

Sr. Research Data Scientist

San Diego, CA · On-site

$150K - $180K/yr

Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation ... video, or simulation. * Familiarity with 3D geometry, camera models, coordinate frames, and ...

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Senior Video Annotation information

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$25K

$80.3K

$163.5K

How much do senior video annotation jobs pay per year?

As of Sep 12, 2026, the average yearly pay for senior video annotation in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a senior video annotation?

A Senior Video Annotation specialist is a professional responsible for labeling, tagging, and categorizing objects or actions within video data, often for use in machine learning and artificial intelligence projects. They oversee and guide annotation teams, ensure high-quality data labeling, and help develop guidelines and best practices. Their expertise is crucial for training accurate computer vision models, as they provide the ground truth data that algorithms learn from.

What are the key skills and qualifications needed to thrive as a senior video annotation specialist, and why are they important?

To excel as a Senior Video Annotation Specialist, you need advanced skills in data labeling, attention to detail, and experience with video annotation tools, often supported by a degree in computer science or a related field. Familiarity with annotation platforms like CVAT, Labelbox, or VGG Image Annotator, and understanding of basic machine learning concepts, are typically required. Strong organizational skills, problem-solving abilities, and effective communication help ensure accuracy and seamless collaboration with data science teams. These competencies are vital for producing high-quality annotated datasets that drive the performance of computer vision models.

What are some common challenges faced by senior video annotation professionals, and how can they be addressed?

Senior Video Annotation professionals often encounter challenges such as maintaining consistency in labeling complex visual data, meeting tight project deadlines, and managing large volumes of video content. To address these issues, it's important to establish clear annotation guidelines, utilize efficient annotation tools, and foster open communication within the annotation team. Regular training and quality assurance checks can also help ensure high accuracy and efficiency, positioning team members for leadership and quality control roles as they advance.

What is the difference between Senior Video Annotation vs Video Labeler?

AspectSenior Video AnnotationVideo Labeler
Required CredentialsTypically requires experience in annotation tools, basic understanding of video content, and sometimes a degree in related fieldsUsually requires familiarity with labeling software and basic video content understanding, but less experience needed
Work EnvironmentOften part of a team working on complex projects, possibly remote or in-officeTypically focused on individual tasks, often remote, with repetitive labeling work
Employer & Industry UsageUsed in AI/ML companies, autonomous vehicle development, and tech firmsCommon in data annotation companies, AI startups, and research labs

Senior Video Annotation roles involve more complex tasks, oversight, and experience, while Video Labelers focus on basic labeling tasks. The senior role often requires a deeper understanding of video content and annotation tools, making it suitable for those with more experience. Both roles are essential in AI data preparation but differ in scope and responsibility.

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Senior Video Annotation jobs near you
Infographic showing various Senior Video Annotation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Software Engineer - Content Understanding

San Mateo, CA • On-site

Roblox
Software Development • 51 - 200 employees
Learn more about Robloxexternal

$139K - $183K/yr

Full-time

Posted 18 days ago

Job description

As a Senior Software Engineer within the Creator Organization, you will develop innovative full-stack solutions that define the future of Roblox's Content Understanding Platform. This platform processes billions of pieces of content-spanning 3D models, audio files, text, video, and entire experiences-extracting structured information about their meaning, context, and relationships. The Content Understanding Team develops cutting-edge AI models, advanced computer vision systems, and highly scalable backend platforms to power search, discovery, and moderation across Roblox. Your contributions will enable seamless asset discovery, automate moderation at scale, and drive transformative generative AI tools that reshape how millions of creators and users engage with Roblox.

You Will:
  • Solve full-stack challenges to improve how AI, creators, and users describe and get along with content, including images, 3D models, audio, text, and video.
  • Craft and build scalable pipelines for training, evaluating, and deploying machine learning models to support content annotation and discovery.
  • Develop robust backend systems to power real-time search, discovery, and powerful generative AI features.
  • Blend innovation with practicality, applying the latest AI research to build impactful, production-ready solutions.
  • Collaborate with engineers, product managers, and multi-functional teams to deliver bold technical projects.
You Have:
  • 7 years of strong programming skills in at least two languages (Python, C#, C++, Java) and a willingness to learn others as needed.
  • Exposure to front end technologies and frameworks such as React or Angular.
  • Practical experience crafting and scaling backend systems in cloud environments.
  • Confirmed expertise across the stack, including backend development to deploying ML models in production environments.
  • Familiarity with image or 3D object understanding, ideally within gaming or content creation industries.
  • A "get stuff done" mentality with a readiness to solve challenges and take on tasks beyond your comfort zone to get results.
  • A great foundation in computer vision, AI, or related fields.
You Are
  • Experience with large-scale search systems, generative AI, or semantic content understanding.
  • Experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow) and end-to-end ML workflows.
  • Knowledge of 3D geometry or asset workflows.
  • Passion for empowering creators through innovative technology.

Apply