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Image Annotation Jobs in Washington, DC (NOW HIRING)

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Image Annotation information

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$860

$2.4K

$3.5K

How much do image annotation jobs pay per week?

As of Jun 27, 2026, the average weekly pay for image annotation in Washington, DC is $2,396.60, according to ZipRecruiter salary data. Most workers in this role earn between $1,763.46 and $2,982.69 per week, depending on experience, location, and employer.

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

To thrive as an Image Annotation professional, attention to detail, strong visual perception, and accuracy are essential, often complemented by a high school diploma or relevant experience in data labeling or computer vision projects. Familiarity with annotation tools such as LabelImg, CVAT, or Supervisely, and a basic understanding of file formats and image labeling standards are typically required. Excellent communication, time management, and the ability to focus on repetitive tasks help individuals excel in this position. These skills ensure high-quality annotated data, which is critical for training reliable machine learning and AI models.

What are some common challenges faced by image annotation specialists in their daily work?

Image annotation specialists often encounter challenges such as maintaining accuracy and consistency when labeling large volumes of images, especially when object boundaries are ambiguous or vary across images. The need to meet tight project deadlines while ensuring high-quality output can be demanding, and handling repetitive tasks may require sustained focus and attention. Collaboration with machine learning engineers or project managers is common, as they may provide feedback or clarification on annotation guidelines. Despite these challenges, working in image annotation offers the opportunity to contribute directly to cutting-edge AI technologies and gain valuable experience in the growing field of computer vision.

What is an Image Annotation job?

An Image Annotation job involves labeling or tagging objects, regions, or features within images to train machine learning models. Annotators use various techniques, such as bounding boxes, polygons, or key points, to define elements in images. This work is essential for tasks like object detection, image segmentation, and facial recognition. Image annotation helps improve AI accuracy in applications such as autonomous vehicles, medical imaging, and security systems.

What are the most commonly searched types of Image Annotation jobs in Washington, DC? The most popular types of Image Annotation jobs in Washington, DC are:
What are popular job titles related to Image Annotation jobs in Washington, DC? For Image Annotation jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Image Annotation jobs in Washington, DC look for? The top searched job categories for Image Annotation jobs in Washington, DC are:
Image Annotation jobs near you
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 12 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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