ZipRecruiter

Log In

1

Image Annotation Jobs in Washington, DC (NOW HIRING)

Unissant

Data Scientist

Ashburn, VA · On-site

$99K - $164K/yr

Support exploratory data analysis, feature development, image-data preparation, annotation, training-set construction, model evaluation, and model-improvement activities. * Assess model performance ...

UNISSANT

Data Scientist

Ashburn, VA

Support exploratory data analysis, feature development, image-data preparation, annotation, training-set construction, model evaluation, and model-improvement activities. * Assess model performance ...

Unissant

Data Scientist

Ashburn, VA · On-site

$99K - $164K/yr

Support exploratory data analysis, feature development, image-data preparation, annotation, training-set construction, model evaluation, and model-improvement activities.Assess model performance ...

BCC - LH

Subject Matter Expert- RxNav

Bethesda, MD · On-site

Knowledge and experience in biomedical informatics, image processing, and natural language ... Experience in content development and/or text annotation (e.g., annotation of certain types of ...

BCC - LH

Subject Matter Expert- RxNav

Bethesda, MD · On-site

Knowledge and experience in biomedical informatics, image processing, and natural language ... Experience in content development and/or text annotation (e.g., annotation of certain types of ...

next page

Showing results 1-20

All JobsImage Annotation JobsImage Annotation Jobs in Washington, DC

Image Annotation information

See Washington, DC salary details

$860

$2.4K

$3.5K

How much do image annotation jobs pay per week?

As of Sep 10, 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 is an image annotation?

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 key skills and qualifications needed to thrive in image annotation, 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 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
Infographic showing various Image Annotation job openings in Washington, DC as of September 2026, with employment types broken down into 7% Internship, 59% Full Time, 12% Part Time, and 22% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $124,623 per year, or $59.9 per hour.

Data Processor

Vienna, VA • On-site

Silent Falcon UAS Technologies
11 - 50 employees
Learn more about Silent Falcon UAS Technologiesexternal

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Silent Falcon UAS Technologies is at the forefront of AI and digital twins innovation for airports and transportation infrastructure. They are seeking a Data Processor to support AI Engineers by preparing, annotating, and validating high-resolution remote sensing datasets to ensure model accuracy and usability for clients.
Responsibilities:
• Process, clean, and annotate image data, 3D scan data, point clouds, or mesh data (marking cracks, distresses, edge lines, etc.)
• Organize and maintain datasets, metadata, and geolocation tags to ensure data is properly georeferenced.
• Validate model predictions, help with error review, and flag data anomalies or misclassifications.
• Assist in preparing datasets for training, testing, and temporal/change-detection comparisons.
• Follow data quality standards, maintain consistency across annotators.
• Work with the AI Engineer to refine annotations tools, guidelines, and workflows.
Qualifications:
Required:
• Bachelors degree (in progress or completed) in Computer Science or related field.
• 1+ years of relevant experience.
• Experience with image annotation tools or similar platforms.
• Ability to identify cracks, pavement distresses, and texture changes in imagery.
• Comfortable working with large file sizes.
• Strong organizational skills.
• Strong attention to detail.
Preferred:
• Basic familiarity with geospatial concepts (coordinates) is a plus.
Company:
SF is using proprietary generative AI and predictive analytics to lower airport management cost and improve safety. Founded in 2010, the company is headquartered in Front Royal, USA, with a team of 11-50 employees. The company is currently Early Stage.

Apply