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Remote Labeler Jobs in Virginia (NOW HIRING)

GRVTY

Imagery Scientist (EO)- Expert

Falls Church, VA ยท On-site +1

$180K - $210K/yr

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

Maximus

Records & Document Control Specialist

VA ยท On-site +1

This is a remote position. Please note that this position is contingent upon bid award. Essential ... and/or labeling. - Type/generate letters and other documents, as necessary. - Maintain ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA ยท On-site +1

$160K - $190K/yr

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

Booz Allen Hamilton, Inc.

Network Engineer

Lorton, VA ยท On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0242179 Location: Lorton,VA,US Share job via: Share Network Engineer ... label switching, gateway protocol, virtual routing and forwarding to support the nation's defense ...

ID.me

Developer Marketing Manager

Mclean, VA ยท On-site +1

Certain roles -- such as field-based sales or other remote-by-design positions -- may have ... Green-Label). * Keep documentation, code samples, and version notes in lockstep with product ...

micro1 AI

First-Person AI Video Trainer

Norfolk, VA ยท Remote

$13/hr

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

micro1 AI

First-Person AI Video Trainer

Chesapeake, VA ยท Remote

$13/hr

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky ... Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and ...

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Remote Labeler information

How much does a data labeler make?

Data labelers typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many remote labelers work as independent contractors, which can affect pay rates and benefits.

How can I make 2000 a week working from home?

A remote labeler can potentially earn $2,000 per week by working full-time hours, often 40 hours or more, and gaining experience or specialized skills in data annotation or image labeling. Increasing income may involve taking on multiple projects, improving efficiency, or working for companies that pay higher rates for quality work. Consistent, high-volume work and reliable performance are key to reaching this income level.

How to make $1000 a week remote?

A remote labeler can potentially earn $1000 a week by working full-time hours, often 40 hours or more, and increasing productivity or taking on multiple projects. Building skills in image annotation tools and maintaining consistent quality can help secure higher-paying tasks or multiple clients, but earnings depend on workload, pay rates, and experience.

What is the difference between Remote Labeler vs Data Annotator?

AspectRemote LabelerData Annotator
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based or office
Industry UsageCommon in AI training, machine learningUsed in AI, autonomous vehicle data, medical imaging

Both Remote Labelers and Data Annotators perform tasks involving data organization and labeling for AI systems. While their roles are similar, Remote Labelers often focus on image or video labeling for machine learning, whereas Data Annotators may handle a broader range of data types. Both roles typically require basic technical skills and are performed remotely, making them accessible for remote work opportunities in the AI industry.

Is data labeling work from home?

Data labeling jobs, including remote labeler positions, are often performed from home. These roles typically require a computer, internet connection, and attention to detail, and they can offer flexible schedules. However, specific requirements may vary by employer.
What are the most commonly searched types of Labeler jobs in Virginia? The most popular types of Labeler jobs in Virginia are:
What are popular job titles related to Remote Labeler jobs in Virginia? For Remote Labeler jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Labeler jobs in Virginia look for? The top searched job categories for Remote Labeler jobs in Virginia are:
What cities in Virginia are hiring for Remote Labeler jobs? Cities in Virginia with the most Remote Labeler job openings:
Remote Labeler jobs near you
Infographic showing various Remote Labeler job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

LEAD SAR DATA/IMAGERY SCIENTIST (TS/SCI Clearance required)

NorthHill Technology

Falls Church, VA โ€ข On-site, Remote

Full-time

Posted 4 days ago

Job description

NorthHill Technology Resources has a need for a Lead SAR Data Scientist/Imagery Scientist to join a Federal Program in Falls Church, VA.ย  This is a direct-hire opportunity with our client, a highly respected Federal Integrator.ย  A current TS/SCI Clearance is required.ย 

We are seeking an experiencedย Lead SAR Data Scientistย / Imagery Scientistย to join a high-performing team developing advanced solutions for complex national security and intelligence challenges.

This program focuses on evaluating artificial intelligence and machine learning models against existing government datasets to assess robustness across a wide range of adversarial scenarios. The team will also support the development and evaluation of automated algorithms capable of making operational decisions in dynamic environments.

As the Lead SAR Exploitation / Imagery Scientist, you will serve as the subject matter expert (SME) for Synthetic Aperture Radar (SAR) imagery. You will provide technical leadership in the acquisition, preparation, processing, and exploitation of SAR data, ensuring imagery meets Government quality standards and mission requirements. You will also develop solutions that account for the unique phenomenology, capabilities, and limitations of SAR sensors and collection platforms.

Required Qualifications
  • Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
  • 6+ years of experience as a SAR exploitation or imagery expert with a strong understanding of:
    • SAR collection principles
    • Radar phenomenology
    • Image formation processes
    • SAR exploitation products
  • Experience usingย SARPyย and theย MATLAB SAR Toolbox
  • Knowledge of SAR image quality assessment, including:
    • RNIIRS
    • Information-theoretic image quality metrics
    • Integrated Sidelobe Ratio (ISLR)
    • Multiplicative Noise Ratio (MNR)
  • Experience interpreting sensor metadata and understanding how collection geometry (e.g., graze angle, squint angle, azimuth) impacts SAR phenomenology
  • Demonstrated experience exploiting SAR imagery to detect, identify, and geolocate objects of interest
  • Experience developing, testing, and evaluating SAR processing algorithms, methodologies, and analytical products
  • Proficiency with advanced data processing and scientific computing tools such asย Python,ย MATLAB, andย Google Earth Engine
  • Strong understanding of remote sensing principles, imagery processing, and advanced exploitation techniques
  • Excellent written and verbal communication skills with the ability to present technical concepts to both technical and non-technical stakeholders
Preferred Qualifications
  • Experience applying computer vision (CV), machine learning (ML), or deep learning techniques to SAR imagery for intelligence, defense, or remote sensing applications
  • Experience supporting AI/ML model development, validation, or operational testing using SAR datasets
Key Responsibilities
  • Evaluate emerging SAR sensor capabilities and compare performance against currently fielded collection platforms.
  • Assess the impact of new sensor data on existing data architectures, including metadata, file formats, schemas, APIs, and ETL processes required for integration into operational data pipelines.
  • Determine data acquisition strategies, expected collection latency, available data formats, and applicable security domains for new sensor sources.
  • Design and implement preprocessing workflows to standardize imagery for labeling, analysis, and AI/ML model evaluation, including format conversion, image tiling, and geospatial normalization.
  • Identify capability gaps associated with emerging sensors and recommend complementary data sources when appropriate.
  • Assess opportunities for multi-source and coincident collections by identifying complementary imagery from additional platforms (e.g., EO/IR) with comparable geographic and temporal coverage.
  • Provide technical leadership on SAR phenomenology, exploitation methodologies, and sensor performance to support Government mission objectives.
  • Collaborate with data scientists, AI/ML engineers, and mission analysts to ensure SAR data is optimized for advanced analytics and model development.