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Video Annotation Jobs in Washington (NOW HIRING)

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Video Annotation information

See Washington salary details

$29.4K

$67.7K

$107.6K

How much do video annotation jobs pay per year?

As of Aug 12, 2026, the average yearly pay for video annotation in Washington is $67,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,100.00 and $78,700.00 per year, depending on experience, location, and employer.

What is a video annotation?

A Video Annotation job involves labeling objects, activities, or events within videos to help train machine learning models. Annotators use specialized tools to draw bounding boxes, segment frames, or classify scenes to improve AI's ability to recognize visuals. This work is essential for applications like autonomous vehicles, facial recognition, and action recognition in AI systems.

What are the typical daily responsibilities of a video annotation specialist?

As a Video Annotation specialist, your daily tasks will generally involve watching video footage, identifying relevant objects or actions, and accurately labeling or tagging frames according to specific project guidelines. You may also review and validate annotations to ensure quality and consistency, collaborate with team members or project managers to clarify labeling instructions, and document any ambiguities or challenges encountered during annotation. Most roles are structured with clear targets or quotas for completed work, and you may work independently or as part of a larger team supporting AI development projects. The position requires strong concentration and the ability to handle repetitive tasks efficiently while maintaining high standards of accuracy.

What are the key skills and qualifications needed to thrive in the video annotation position, and why are they important?

To excel in Video Annotation, you need strong attention to detail, visual analysis skills, and familiarity with video processing concepts, often supported by a diploma or coursework in computer science or a related field. Knowledge of annotation tools such as CVAT, Labelbox, or VGG Image Annotator, and, in some cases, experience with basic scripting or data management platforms, is highly valued. Excellent focus, time management, and the ability to follow precise instructions help individuals stand out in this position. These abilities are crucial for ensuring the accuracy and quality of annotated video data, which directly impacts AI and machine learning model performance.

What are the most commonly searched types of Video Annotation jobs in Washington? The most popular types of Video Annotation jobs in Washington are:
What are popular job titles related to Video Annotation jobs in Washington? For Video Annotation jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Video Annotation jobs in Washington look for? The top searched job categories for Video Annotation jobs in Washington are:
Video Annotation jobs near you
Infographic showing various Video Annotation job openings in Washington as of August 2026, with employment types broken down into 6% Internship, 49% Full Time, 20% Part Time, and 25% Contract. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $67,716 per year, or $32.6 per hour.

Sr. Researcher - Computer Vision with Security Clearance

Bluemont Technology & Research, Inc

Bethesda, MD • On-site

Other

Re-posted 28 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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