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Evening Remote Data Annotation Jobs in Virginia (NOW HIRING)

This role blends remote sensing science with applied data engineering and AI. What You'll Do ... Support annotation workflows by identifying and flagging imagery containing objects of interest

New

Collaborate with the Data QA team to define annotation standards, resolve taxonomy issues, and ... Experience working with remote sensing imagery including geometry, radiometric normalization ...

We are open to considering fully remote applicants. Dewberry is a leading, market-facing ... Manage ORD and OBM data environments and model health , including information governance strategy ...

Operations Manager

Chantilly, VA · On-site +1

$120K - $155K/yr

Data Center Optimization and Operations; and Desktop/Server and Application Virtualization. Summary ... Evening and weekend hours required, as required by business need. Position is remote. Travel Travel ...

This is a remote role based out of our McLean, VA headquarters. Occasional early evening or weekend ... Strong organizational skills and attention to detail with a commitment to data accuracy and process ...

Evening Remote Data Annotation information

What is the difference between Evening Remote Data Annotation vs Night Remote Data Annotation?

AspectEvening Remote Data AnnotationNight Remote Data Annotation
Work HoursTypically evening hours, e.g., 4 PM - 10 PMUsually late-night hours, e.g., 10 PM - 4 AM
CredentialsBasic data annotation skills, sometimes requiring familiarity with annotation toolsSimilar credentials, often requiring experience with annotation platforms
Work EnvironmentRemote, flexible hours, often part-timeRemote, flexible, suited for night owls or those with daytime commitments
Industry UsageCommon in AI training data projects across tech and healthcareSimilar industry usage, focusing on continuous data labeling needs

Both roles involve remote data annotation tasks with similar credentials and industry applications. The main difference lies in the work hours, with Evening Remote Data Annotation scheduled during evening hours and Night Remote Data Annotation during late-night shifts. Your choice depends on your preferred working hours and personal schedule.

What are the most commonly searched types of Remote Data Annotation jobs in Virginia? The most popular types of Remote Data Annotation jobs in Virginia are:
What are popular job titles related to Evening Remote Data Annotation jobs in Virginia? For Evening Remote Data Annotation jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Evening Remote Data Annotation jobs? Cities in Virginia with the most Evening Remote Data Annotation job openings:

Senior SAR Imagery Scientist

GeoYeti

Springfield, VA • Remote

$190K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 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.