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Image Labeling Remote Jobs in Virginia (NOW HIRING)

Transform data labels across multiple imagery types (e.g., phase history data to complex image and ... Remote Sensing Principles * Advanced imagery processing and exploitation methods * Sensor and ...

Transform data labels across multiple imagery types (e.g., phase history data to complex image and ... Remote Sensing Principles * Advanced imagery processing and exploitation methods * Sensor and ...

... labeling and model testing purposes. This may involve converting between file format types or ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Labeling * Model testing * Advanced exploitation workflows * Investigate gaps in emerging EO sensor ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Transform data labels across multiple imagery types * Convert between orthorectified and non ... Generate tiles from full-size image collects with specified pixel dimensions or geospatial ...

Records Clerk

Lorton, VA · On-site +1

$16.75 - $22/hr

Overview Records Clerk Remote Are you ready to enhance your skills and build your career in a ... The Records Clerk downloads, creates, verifies image quality, processes, performs data entry ...

Records Clerk

Lorton, VA · On-site +1

$16.75 - $22/hr

Overview Records Clerk Remote Are you ready to enhance your skills and build your career in a ... The Records Clerk downloads, creates, verifies image quality, processes, performs data entry ...

Labeling * Model testing * Advanced exploitation workflows * Investigate gaps in emerging EO sensor ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

... labeling and model testing purposes. This may involve converting between file format types or ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and ...

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience ... Familiarity with ML/Ops practices -- training pipelines, data labeling, model evaluation, and ...

Image Labeling Remote information

What is image labeling in a remote job?

Image labeling in a remote job involves tagging or annotating images with relevant information or categories from your home or any location outside of a traditional office. This process helps train machine learning models to recognize objects, people, or scenes within images. Remote image labelers use specialized software to identify and mark features according to project guidelines. The work is often flexible and may be paid per task or per hour, depending on the employer.

What are the key skills and qualifications needed to thrive as an image labeling remote worker?

To thrive as an Image Labeling Remote worker, you need strong attention to detail, basic computer literacy, and familiarity with data annotation concepts, often supported by a high school diploma or equivalent. Proficiency with image labeling platforms such as Labelbox, Supervisely, or proprietary annotation tools is typically required. Reliability, self-motivation, and the ability to follow precise instructions make someone stand out in this position. These skills ensure that labeled data is accurate and consistent, which is crucial for training high-quality machine learning models.

What are some common challenges faced by remote image labeling professionals, and how can they be managed?

Remote image labeling professionals often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and communicating effectively with team members across different time zones. To manage these, it's helpful to set up a dedicated, distraction-free workspace, take regular breaks to prevent fatigue, and use collaboration tools like Slack or project management platforms to stay connected with the team. Adhering closely to labeling guidelines and participating in regular quality reviews also help maintain accuracy and consistency.

What is the difference between Image Labeling Remote vs Data Annotation Specialist?

AspectImage Labeling RemoteData Annotation Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, data processing
Search & Comparison IntentOften compared for similar data labeling rolesRelated role in data preparation

Image Labeling Remote and Data Annotation Specialist roles both involve preparing data for AI systems, often working remotely with similar skills. However, Image Labeling Remote typically focuses specifically on labeling images and visual data, while Data Annotation Specialist may include a broader range of data types like text or audio. Both roles are essential in AI development and share similar work environments and skill requirements.

What cities in Virginia are hiring for Image Labeling Remote jobs?

Cities in Virginia with the most Image Labeling Remote job openings:

Infographic showing various Image Labeling Remote job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Imagery Scientist (SAR) - Expert

GRVTY

Falls Church, VA • On-site, Remote

$180K - $210K/yr

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago


Key responsibilities

  • Integrate emerging sensors and platforms into existing data pipelines and workflows, including developing pipelines and assessing differences in sensor characteristics.

  • Determine how to acquire, pre-process, standardize, and transform SAR data to match existing standards and support labeling and model development.

  • Investigate gaps in sensor capabilities, explore options for coincident imagery collection, and develop mathematical conversion models for data transformation.


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

Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

  • The pay range for this position is: $180,000 - $210,000