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Image Labeling Remote Jobs in Washington, DC (NOW HIRING)

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/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

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · 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

GRVTY

Imagery Scientist (EO)- Expert

Falls Church, VA · 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

GRVTY

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 ...

GRVTY

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 ...

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Image Labeling Remote information

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How much do image labeling remote jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for image labeling remote in Washington, DC is $15.82, according to ZipRecruiter salary data. Most workers in this role earn between $14.13 and $17.40 per hour, depending on experience, location, and employer.

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 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 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 are popular job titles related to Image Labeling Remote jobs in Washington, DC? For Image Labeling Remote jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Image Labeling Remote jobs in Washington, DC look for? The top searched job categories for Image Labeling Remote jobs in Washington, DC are:
Image Labeling Remote jobs near you

Imagery Scientist (EO) - Senior

GRVTY

Falls Church, VA • Remote

$97K - $133K/yr

Other

Re-posted 16 days ago

Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced imagery scientist to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation.  The ideal candidate is an expert 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 the sensors and platforms in mind.

What You'll be Owning

  • Assist the EO lead in conducting 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, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
  • Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains
  • Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • 4+ years of expert EO imagery exploitation and imagery science experience with understanding of collection, phenomenology, image formation process, and exploitation products.
  • Demonstrated experience in:
    • EO collection systems
    • Remote sensing phenomenology
    • Image formation processes
    • Exploitation products and methodologies
  • Experience exploiting EO imagery to:
    • Detect
    • Identify
    • Locate objects of interest
  • Experience developing and evaluating:
    • Algorithms
    • Scientific workflows
    • Exploitation methodologies
  • Experience automating scientific processing workflows
  • Experience developing and evaluating:
    • Algorithms
    • Automated workflows
    • Scientific exploitation methods
  • Understanding of:
    • Remote sensing principles
    • EO imagery processing
    • Advanced exploitation methods
    • Sensor/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 EO imagery and data to address intelligence problems

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