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At Home Image Annotation Jobs in Virginia (NOW HIRING)

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · On-site

$190K - $235K/yr

Louis, MO Active TS/SCI eligibility with eligibility to obtain CI poly At Bcore, our strength comes ... Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

Louis, MO Active TS/SCI eligibility with eligibility to obtain CI poly At Bcore, our strength comes ... Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

Louis, MO Active TS/SCI eligibility with eligibility to obtain CI poly At Bcore, our strength comes ... Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities

Bcore

Senior SAR Imagery Scientist

Springfield, VA · On-site

$190 - $235/hr

... poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it ... Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities

Varsity Tutors

High School Reading Tutor

Salem, VA · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Varsity Tutors

High School Reading Tutor

Norfolk, VA · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

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All JobsAt Home Image Annotation JobsAt Home Image Annotation Jobs in Virginia

At Home Image Annotation information

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How much do at home image annotation jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for at home image annotation in Virginia is $20.44, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $22.88 per hour, depending on experience, location, and employer.

What is at home image annotation?

At home image annotation is a remote job where individuals label or tag objects, features, or areas within digital images to help train artificial intelligence (AI) systems. This process involves using specialized software to draw boxes, outlines, or points on images and assign labels to them based on specific instructions. The annotated images are then used by companies to improve machine learning models for tasks such as image recognition, autonomous vehicles, and medical diagnostics. Working from home, annotators usually need a computer, reliable internet, and attention to detail. The job is often flexible and can be done part-time or full-time.

What skills and qualifications are needed for at home image annotation?

To thrive as an At Home Image Annotation Specialist, you need attention to detail, strong visual perception, and a basic understanding of data labeling concepts, usually supported by a high school diploma or equivalent. Familiarity with annotation platforms like Labelbox, Supervisely, or VIA, and sometimes experience with basic image editing tools, is often required. Strong self-motivation, communication skills, and the ability to follow complex instructions help individuals excel in remote, independent work environments. These skills ensure high-quality, accurate datasets that are crucial for training reliable computer vision models.

What are common challenges faced by at home image annotation professionals, and how can they be managed?

At-home image annotation professionals often face challenges such as maintaining focus during repetitive tasks, meeting tight deadlines, and ensuring high accuracy in their work. To manage these, it's helpful to set up a dedicated workspace, use productivity techniques like the Pomodoro method, and regularly review guidelines to minimize errors. Collaborating through online team channels and seeking feedback can also help maintain quality and stay connected with the team, even while working remotely.

What is the difference between At Home Image Annotation vs Data Labeler?

AspectAt Home Image AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based or office
Industry UsageAI training, autonomous vehicles, medical imagingMachine learning, AI datasets, various industries
Job FocusAnnotating images for AI modelsLabeling data for machine learning

Both At Home Image Annotation and Data Labeler roles involve preparing data for AI systems, often working remotely with similar skills. However, At Home Image Annotation specifically emphasizes annotating images, while Data Labeler may include a broader range of data types. The roles are often interchangeable depending on the project, but understanding the specific focus can help in job selection.

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 At Home Image Annotation jobs in Virginia?

For At Home Image Annotation jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching At Home Image Annotation jobs in Virginia look for?

The top searched job categories for At Home Image Annotation jobs in Virginia are:

What cities in Virginia are hiring for At Home Image Annotation jobs?

Cities in Virginia with the most At Home Image Annotation job openings:

At Home Image Annotation jobs near you

Data Processor

Silent Falcon UAS Technologies

Vienna, VA • On-site

Full-time

Re-posted 5 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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