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Image Annotation Jobs in Virginia (NOW HIRING)

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · On-site

$190K - $235K/yr

Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities ... Support annotation workflows by identifying and flagging imagery containing objects of interest

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities ... Support annotation workflows by identifying and flagging imagery containing objects of interest

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities ... Support annotation workflows by identifying and flagging imagery containing objects of interest

All JobsImage Annotation JobsImage Annotation Jobs in Virginia

Image Annotation information

See Virginia salary details

$753

$2.1K

$3.1K

How much do image annotation jobs pay per week?

As of Aug 4, 2026, the average weekly pay for image annotation in Virginia is $2,098.63, according to ZipRecruiter salary data. Most workers in this role earn between $1,544.23 and $2,611.54 per week, depending on experience, location, and employer.

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 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 most commonly searched types of Image Annotation jobs in Virginia? The most popular types of Image Annotation jobs in Virginia are:
What are popular job titles related to Image Annotation jobs in Virginia? For Image Annotation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Image Annotation jobs in Virginia look for? The top searched job categories for Image Annotation jobs in Virginia are:
What cities in Virginia are hiring for Image Annotation jobs? Cities in Virginia with the most Image Annotation job openings:
Image Annotation jobs near you
Infographic showing various Image Annotation job openings in Virginia as of July 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $109,129 per year, or $52.5 per hour.

Data Processor

Silent Falcon UAS Technologies

Vienna, VA • On-site

Full-time

Re-posted 15 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.

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