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Seasonal Remote Image Annotation Jobs in Virginia

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

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

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

Seasonal Remote Image Annotation information

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

AspectSeasonal Remote Image AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexible hours during seasonal peaksRemote, consistent or project-based work
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data analysis
Search & ComparisonOften compared for remote annotation rolesRelated but broader data labeling tasks

Seasonal Remote Image Annotation involves labeling images during specific seasons, focusing on visual data for AI models. Data Labeling Specialist covers a wider range of data types and labeling tasks. Both roles are remote and require attention to detail, but Seasonal Remote Image Annotation is more seasonal and task-specific, while Data Labeling Specialist offers more consistent work across various data formats.

What are popular job titles related to Seasonal Remote Image Annotation jobs in Virginia? For Seasonal Remote Image Annotation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Seasonal Remote Image Annotation jobs in Virginia look for? The top searched job categories for Seasonal Remote Image Annotation jobs in Virginia are:
What cities in Virginia are hiring for Seasonal Remote Image Annotation jobs? Cities in Virginia with the most Seasonal Remote Image Annotation job openings:

Senior SAR Imagery Scientist

GeoYeti

Springfield, VA • Remote

$190K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Overview

Senior SAR Imagery Scientist

Springfield, VA or St. Louis, MO

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 or St. Louis, MO.

Responsibilities

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
Qualifications

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
What you can expect from us
  • 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.

Employment Type: FULL_TIME