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Remote Image Annotation Jobs in Washington (NOW HIRING)

This role blends remote sensing science with applied data engineering and AI. What You'll Do ... Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities

New

This role blends remote sensing science with applied data engineering and AI. What You'll Do ... Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities

Remote Image Annotation information

What are some common challenges faced by remote image annotation specialists and how can they be addressed?

Remote image annotation specialists often encounter challenges such as handling repetitive tasks, maintaining high accuracy across large volumes of images, and managing time effectively while working independently. To address these challenges, it’s important to take regular breaks to maintain focus, follow detailed annotation guidelines carefully, and communicate proactively with project managers or teammates when unclear instructions arise. Many employers provide training sessions, clear documentation, and regular feedback to help remote annotators improve their performance. Utilizing productivity tools and engaging with team forums or chat channels can also help foster collaboration and resolve questions efficiently. Over time, experience with different annotation types and toolsets can open up opportunities for advancement into quality assurance or tool administration roles.

What is a Remote Image Annotation job?

A Remote Image Annotation job involves labeling images with relevant tags, shapes, or metadata to help train machine learning models. Annotators use specialized tools to draw bounding boxes, segment objects, or add descriptive labels to improve AI accuracy. This work is typically done from home and requires attention to detail, basic computer skills, and sometimes domain-specific knowledge. It is commonly used in industries such as autonomous vehicles, healthcare, and e-commerce.

What are the key skills and qualifications needed to thrive in the Remote Image Annotation position, and why are they important?

To thrive as a Remote Image Annotation specialist, you need keen attention to detail, strong visual analysis skills, and basic computer proficiency, often supported by a background in data entry or related fields. Familiarity with image annotation platforms and tools such as Labelbox, VGG Image Annotator, or custom client software is commonly required, though formal certifications are uncommon. Excellent time management, self-motivation, and clear communication skills help remote workers excel, especially when collaborating with distributed teams or providing task updates. These competencies ensure accurate, timely annotations that are essential for training high-quality AI and machine learning systems.

What are the most commonly searched types of Image Annotation jobs in Washington? The most popular types of Image Annotation jobs in Washington are:
What are popular job titles related to Remote Image Annotation jobs in Washington? For Remote Image Annotation jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Image Annotation jobs in Washington look for? The top searched job categories for Remote Image Annotation jobs in Washington are:
What cities in Washington are hiring for Remote Image Annotation jobs? Cities in Washington with the most Remote Image Annotation job openings:
Infographic showing various Remote Image Annotation job openings in Washington as of July 2026, with employment types broken down into 2% Locum Tenens, 1% As Needed, 48% Full Time, 43% Part Time, 3% Contract, and 3% Nights. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.

Senior SAR Imagery Scientist

GeoYeti

Springfield, VA • Remote

$190K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Senior SAR Imagery Scientist

Springfield, VA 

Active TS/SCI eligibility with eligibility to obtain CI poly

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 

Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Senior SAR Imagery Analyst in Springfield, VA.


You will serve as the technical lead on SAR data quality, sensor integration, and imagery processing. You will building automated pipelines, assessing new sensors, and developing algorithms that support analysis at scale. This role blends remote sensing science with applied data engineering and AI.

What You'll Do: 

  • Evaluate and integrate new SAR sensors and platforms into existing data workflows, including sensors still in early development phases
  • Assess differences between new and existing sensors including data formats, metadata structures, and processing requirements and determine changes needed for downstream use
  • Pre-process, standardize, and tile imagery to specified formats and dimensions while preserving data integrity
  • Develop conversion models to transform data across imagery formats and coordinate systems, ensuring geospatial accuracy
  • Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities
  • Build automated methods to manage and curate large imagery datasets, including integrating with external data sources via APIs
  • Support annotation workflows by identifying and flagging imagery containing objects of interest
  • Source complementary imagery from other sensors to support multi-modal analysis
  • Develop, test, and evaluate new algorithms and processing workflows using Python, MATLAB, or similar tools
  • Manage routine and ad-hoc imagery delivery operations
  • Communicate technical findings and capabilities to both technical and non-technical audiences

Required Qualifications:   

  • Active TS/SCI eligibility with eligibility to obtain CI poly
  • 4+ years of hands-on SAR expertise, including collection, phenomenology, image formation, and exploitation
  • Experience with SARPy and/or MATLAB SAR toolbox
  • Familiarity with SAR image quality assessment methods and sensor metadata
  • Understanding of how geometry affects SAR phenomenology (e.g., graze angle, squint, azimuth)
  • Experience exploiting SAR imagery for object detection and characterization
  • Experience developing and automating geospatial or imagery processing workflows
  • Strong foundation in remote sensing principles and geospatial data processing
  • Clear communicator across technical and non-technical audiences

Desired Qualifications:  

  • Experience applying machine learning or computer vision techniques to SAR or other remotely sensed data
  • Experience working with multi-sensor or multi-modal imagery (e.g., SAR and EO)
  • Familiarity with cloud-based geospatial processing platforms

  • The expected salary range within the Washington, DC metropolitan area is: $190,000-$235,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
  • Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.