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Live In Image Annotation Jobs in Virginia (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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Live In Image Annotation information

What is a live in image annotation?

A Live In Image Annotation job involves residing at a particular location or facility and performing the task of labeling or tagging objects, features, or data within digital images. This work is usually part of larger projects in fields like artificial intelligence, machine learning, or computer vision, where accurately annotated images are crucial for training algorithms. The job may require familiarity with specialized software tools and a keen attention to detail. Annotators play a critical role in helping computers 'see' and understand images by providing clear and consistent labels. Often, these positions are found in research centers, data collection facilities, or companies specializing in AI development.

What are some of the common challenges faced by live in image annotation professionals, and how can they be addressed?

Live In Image Annotation professionals often encounter challenges such as maintaining high accuracy while working with large volumes of data, meeting tight deadlines, and handling ambiguous images that require careful judgment. To address these challenges, it's important to stay organized, regularly communicate with team members and project managers, and utilize annotation tools efficiently. Ongoing training and feedback can also help improve both speed and precision, ensuring the quality of annotated data meets industry standards.

What is the difference between Live In Image Annotation vs Image Labeling Specialist?

AspectLive In Image AnnotationImage Labeling Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOn-site or remote, often in a dedicated workspaceRemote or on-site, flexible environment
Industry UsageAI training, autonomous vehicles, surveillanceData annotation for machine learning, AI models
Job FocusReal-time annotation, often involving live video or imagesBatch annotation, static images

Live In Image Annotation involves real-time, often on-site annotation of images or videos, suitable for applications like autonomous driving or surveillance. In contrast, Image Labeling Specialists typically perform batch annotation of static images for training AI models, often remotely. Both roles require attention to detail and basic technical skills but differ mainly in real-time versus batch work and work environment.

What are the key skills and qualifications needed to thrive as a live in image annotation specialist?

To thrive as a Live In Image Annotation Specialist, you need strong attention to detail, proficiency in visual analysis, and a basic understanding of data labeling processes, typically supported by a high school diploma or equivalent. Familiarity with annotation tools like Labelbox, CVAT, or Supervisely, and sometimes basic coding knowledge, is often required. Excellent communication, time management, and adaptability are key soft skills for collaborating and meeting project deadlines. These competencies ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.
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Live In 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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