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Full Time Image Annotation Jobs in Washington (NOW HIRING)

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities ... Support annotation workflows by identifying and flagging imagery containing objects of interest

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Full Time Image Annotation information

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$860

$2.4K

$3.5K

How much do full time image annotation jobs pay per week?

As of Aug 6, 2026, the average weekly pay for full time image annotation in Washington is $2,397.46, according to ZipRecruiter salary data. Most workers in this role earn between $1,763.46 and $2,984.62 per week, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in full time image annotation?

To thrive as a Full Time Image Annotation professional, you need strong attention to detail, familiarity with visual data, and typically at least a high school diploma or equivalent. Experience with annotation platforms, image labeling software, and sometimes basic knowledge of programming languages or AI concepts can be advantageous. Excellent concentration, time management, and the ability to work both independently and collaboratively are valuable soft skills. These competencies ensure accurate, consistent data labeling, which is crucial for developing reliable machine learning and AI systems.

What is a full time image annotation?

A Full Time Image Annotation job involves labeling or tagging images to help train machine learning models. Annotators use specialized tools to draw bounding boxes, classify objects, or mark key points within images. This process improves artificial intelligence systems in areas like autonomous driving, medical imaging, and facial recognition. The role requires attention to detail, accuracy, and sometimes familiarity with specific domain guidelines. It is typically performed in-office or remotely, depending on the employer.

What types of images and annotation tasks can I expect in a full time image annotation role?

In a Full Time Image Annotation position, you may work with a broad variety of image types, including photographs, satellite images, medical scans, or video frames, depending on the project and industry. Typical annotation tasks include drawing bounding boxes, segmenting objects, labeling regions, or identifying specific features for use in machine learning datasets. Many teams work on tight deadlines and coordinate through digital platforms, so accuracy and consistency are key performance metrics. You may collaborate with quality assurance specialists and data scientists to ensure the annotated data meets required standards. Over time, proficiency in advanced annotation techniques can lead to opportunities for quality control, project management, or more technical roles within the AI data pipeline.

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Full Time Image Annotation jobs near you

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 

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.

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

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