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Senior Video Annotation Jobs (NOW HIRING)

Troveo AI Inc

VP of Engineering

San Francisco, CA · On-site

$212K - $273K/yr

Our systems span video ingestion, annotation and labeling pipelines, metadata enrichment, and data ... Build, lead, and develop a high-performing engineering organization, including senior engineers and ...

Aicadium

Sr. CV/ML Scientist

San Diego, CA

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 ...

AIcadium

Sr. CV/ML 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 ...

Mill

AI Engineer, Computer Vision

San Bruno, CA

This is a hands-on senior IC role for someone who's equally comfortable fine-tuning a segmentation ... video segmentation) * Experience with foundation models for data annotation * Experience with MLOps ...

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All JobsSenior Video Annotation Jobs

Senior Video Annotation information

See salary details

$25K

$80.3K

$163.5K

How much do senior video annotation jobs pay per year?

As of Jun 20, 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 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 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 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.

More about Senior Video Annotation jobs
What cities are hiring for Senior Video Annotation jobs? Cities with the most Senior Video Annotation job openings:
What are the most commonly searched types of Video Annotation jobs? The most popular types of Video Annotation jobs are:
What states have the most Senior Video Annotation jobs? States with the most job openings for Senior Video Annotation jobs include:
What job categories do people searching Senior Video Annotation jobs look for? The top searched job categories for Senior Video Annotation jobs are:
Senior Video Annotation jobs near you
Infographic showing various Senior Video Annotation job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.
Sr. Researcher - AI/ML Enabled Spatiotemporal Imagery

Sr. Researcher - AI/ML Enabled Spatiotemporal Imagery

Bluemont Technology & Research, Inc.

Bethesda, MD • On-site

$105K - $134K/yr

Full-time

Posted 4 days ago

Job description

JOB TITLE: Sr. Researcher - AI/ML Enabled Spatiotemporal Imagery
LOCATION: Bethesda, Maryland
CLEARANCE: No clearance to start but preferred. MUST be US Citizen to be clearable. Prefer TS/SCI with CI Poly.
JOB RESPONSIBILITIES:
• Attend meetings, workshops, conferences and testing events as a Subject Matter Expert.
• Assist with the development of presentations such as Program Management Reviews.
• Serve as a Liaison between Performers, Test & Evaluation contributors, Government and Transition partners.
• Review, provide analysis, and make recommendations concerning technical reports, data and Performer approaches.
• Examine data sources and literary sources for emerging technology related to the Program.
• Provide technical support and expertise on new concepts beyond the Program within areas of expertise.
REQUIRED EXPERTISE:
• Must have current Top Secret/SCI (Tier 5+) with polygraph clearance.
• Bachelors' degree in physics, mathematics, computer science, or relevant engineering fields (e.g. electrical, computer, systems, software) with eight plus (8+) years of work experience, or Masters' degree with four plus (4+) years of work experience, or PhD with two plus (2+) years of work experience. PhD is desirable, but not absolutely required if work experience provides depth and breadth of technical understanding and evidence of problem-solving capability equivalent to what would be expected for a PhD.
• Five (5) years of experience in computer vision R&D.
• Two (2) years of experience with R&D of machine learning and deep learning algorithms.
• One (1) year of experience managing a multi-disciplinary research and development (R&D) or Test and Evaluation (T&E) team.
• Two (2) years of experience creating program plans, work breakdown structures, and milestone schedules.
• Excellent writing and editing skills. Ability to develop succinct, comprehensive, understandable documents using complex data from multiple sources.
• Excellent slide development and PowerPoint skills. Ability to visually communicate complex ideas at a high level for technically savvy, but non-expert audiences.
• Strong organizational, problem solving, and time management skills. Must be detail oriented.
• Ability to proactively manage multiple, concurrent tasks.
• At least 4 of the qualifications listed in Desired Expertise.
• Experience in the Intelligence Community (IC) or Department of Defense (DoD), including experience with requirements, CONOPS and research technology transition.
DESIRED EXPERTISE:
• Experience with architectures to support large spatiotemporal data management and processing.
• Experience with the institutional review board (IRB) process for human subjects' research and IRB approved video collection.
• Experience with development in the Open Media Processing Framework (OpenMPF).
• Experience with deployment of computer vision analytics in a large-scale framework.
• Experience managing/performing large-scale video collection, curation and annotation.
• Experience with video collection from fixed security/surveillance, airborne (e.g. drone, UAV), and ground mobile (e.g. cell phone, auto mounted, etc.) video sensors.
• Experience with image or video frame geo-localization.
Bluemont Technology & Research, Inc. (Bluemont) offers a premium benefits package. Our culture is based on treating people like you would treat yourself. The company is focused on challenging applications of cutting-edge technologies and data intensive applications. Bluemont maintains a drug-free workplace and performs background checks.
Bluemont is an E-Verify Employer. Follow this link to view: www.dhs.gov/E-Verify

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