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Image Labeling Jobs in Virginia (NOW HIRING)

Transform data labels across multiple imagery types (e.g., phase history data to complex image and magnitude detected image) • Develop methods to execute tiling and pre-processing of full-size raw ...

Transform data labels across multiple imagery types (e.g., phase history data to complex image and magnitude detected image) * Develop methods to execute tiling and pre-processing of full-size raw ...

Transform data labels across multiple imagery types (e.g., phase history data to complex image and magnitude detected image) * Develop methods to execute tiling and pre-processing of full-size raw ...

Work with image-based model outputs, bounding boxes, labels, confidence scores, extracted attributes, and structured metadata to support downstream review and analysis. * Build reusable utilities for ...

Data Scientist

Mclean, VA · On-site

$60 - $65/hr

Strong ability to process image files, extracted labels, model predictions, confidence scores, annotations, bounding boxes, and metadata payloads * Experience writing modular, maintainable code for ...

... labeling and model development purposes, including: • Converting between file format types • ... Collection and phenomenology, Image formation processes, Exploitation products and methodologies ...

Records Clerk

Lorton, VA · On-site

$16.75 - $22/hr

The Records Clerk downloads, creates, verifies image quality, processes, performs data entry ... Identify, organize, describe, and label record materials as necessary. * Interfile documents into ...

Records Clerk

Lorton, VA · On-site

$16.75 - $22/hr

The Records Clerk downloads, creates, verifies image quality, processes, performs data entry ... Identify, organize, describe, and label record materials as necessary. * Interfile documents into ...

Records Clerk

Lorton, VA

$16.75 - $22/hr

The Records Clerk downloads, creates, verifies image quality, processes, performs data entry ... Identify, organize, describe, and label record materials as necessary. * Interfile documents into ...

Records Clerk

Lorton, VA · On-site +1

$16.75 - $22/hr

The Records Clerk downloads, creates, verifies image quality, processes, performs data entry ... Identify, organize, describe, and label record materials as necessary. * Interfile documents into ...

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Image Labeling information

What is an image labeling?

An Image Labeling job involves annotating or tagging images with relevant labels to help train machine learning models. This can include identifying objects, bounding boxes, classifications, or segmenting specific areas within an image. The labeled data is crucial for AI systems to recognize patterns and make accurate predictions. It is commonly used in industries like autonomous driving, healthcare, and e-commerce. No specialized degree is usually required, but attention to detail and accuracy are important.

What are the key skills and qualifications needed to thrive in image labeling, and why are they important?

To excel in Image Labeling, candidates should have high attention to detail, basic computer proficiency, and familiarity with digital image formats. Experience with data annotation tools and platforms such as Labelbox or Supervisely is often preferred, though formal certifications are not always required. Strong organizational skills, focus, and the ability to work both independently and as part of a team are valuable soft skills in this role. These qualifications help ensure consistently accurate labeling, which is essential for building high-quality machine learning datasets.

What does a typical workday look like for someone in image labeling?

A typical day as an Image Labeler involves reviewing a high volume of images and accurately applying tags, annotations, or classifications according to specific project guidelines. You may work individually or as part of a larger data annotation team, often collaborating with project managers or quality assurance specialists to ensure consistency and accuracy. The work is generally computer-based and can often be performed remotely. Challenges may include meeting tight deadlines and adapting to varying project standards, but the role also offers opportunities to develop skills valuable in the broader artificial intelligence and data science fields.

What are the most commonly searched types of Image Labeling jobs in Virginia?

The most popular types of Image Labeling jobs in Virginia are:

What are popular job titles related to Image Labeling jobs in Virginia?

For Image Labeling jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Image Labeling jobs in Virginia look for?

The top searched job categories for Image Labeling jobs in Virginia are:

Infographic showing various Image Labeling job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution.

Imagery Scientist (SAR) - Expert

GRVTY

Falls Church, VA • On-site

Full-time

Re-posted 11 days ago


Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced Imagery Scientist to serve as the subject matter expert on SAR imagery and provide technical direction across the full imagery acquisition and preparation lifecycle. The ideal candidate is an experienced SAR imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of sensors and platforms.

What You'll be Owning

  • Integrate emerging sensors and platforms into existing data pipelines and workflows, including:
    • Develop pipelines and relevant data structures for emerging capabilities
  • Conduct assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
  • Assess potential differences in metadata, data format, and data structure characteristics in regard to changes to:
    • Databases and schemas
    • APIs and other ETL-related processes
    • Ingestion and movement of data within the existing data operations pipeline
  • Determine how to acquire new data, including:
    • Potential latency associated with acquisition
    • Data formats and security domains
  • Determine how to pre-process and standardize data to match existing standards or be transformed into a usable state for labeling and model development purposes, including:
    • Converting between file format types
    • Tiling full-size images into specified sizes or geospatial bounds
  • Investigate gaps in emerging sensor capabilities that may require supplementation from other sources
  • Explore options for coincident imagery collects from other imagery platforms to:
    • Identify EO or other platforms with aligned geographic and temporal coverage
    • Determine platforms with similar collection window to emerging data types
  • Develop and implement mathematical conversion models to:
    • Transform data labels across multiple imagery types (e.g., phase history data to complex image and magnitude detected image)
  • Develop methods to execute tiling and pre-processing of full-size raw imagery into specified sizes and data formats while maintaining metadata and data integrity
  • Generate tiles from full-size image collects with specified, precise geospatial boundaries, accounting for orthorectification to ensure geospatial accuracy at tile edges

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • Exhibit understanding of:
    • Collection and phenomenology
    • Image formation processes
    • Exploitation products and methodologies
  • Hands-on experience with SAR data processing tools and libraries including:
    • SARPy
    • MATLAB SAR Toolbox
  • Demonstrated experience with imagery quality metrics, including:
    • RNIIRS and information theoretic-based image quality metrics
    • SAR-specific metrics such as Integrated Sidelobe Ratio (ISLR) and Multiplicative Noise Ratio (MNR)
    • Sensor metadata describing geometry impacts on phenomenology (e.g., graze, squint, azimuth)
  • Experience exploiting SAR imagery to determine the occurrence and location of objects of interest
  • Experience developing, testing, and evaluating:
    • New algorithms, processes, methodologies, and exploitation products
    • Automated scientific workflows using advanced processing tools including:
      • Python
      • MATLAB
      • Google Earth Engine
  • Deep understanding of:
    • Remote Sensing Principles
    • Advanced imagery processing and exploitation methods
    • Sensor and platform limitations and advantages
  • Proven ability to communicate technical concepts to:
    • Technical audiences
    • Non-technical stakeholders
    • Intelligence users

What Would be Nice to Have

  • Experience applying CV and machine learning (ML) techniques to SAR imagery and data to address intelligence problems