ZipRecruiter

Log In

2

Freelance Remote Image Annotation Jobs in Washington

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

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

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

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

All JobsImage Annotation JobsFreelance Remote Image Annotation JobsFreelance Remote Image Annotation Jobs in Washington

Freelance Remote Image Annotation information

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

AspectFreelance Remote Image AnnotationFreelance Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, natural language processing
Job FocusLabeling images with bounding boxes, polygons, or masksLabeling data for various AI models, including images, text, or audio

Freelance Remote Image Annotation primarily involves labeling images for AI training, focusing on visual data. Freelance Remote Data Labeling covers a broader range of data types, including images, text, and audio, for AI applications. While both roles require attention to detail and remote work skills, image annotation is more specialized in visual data, whereas data labeling encompasses multiple data formats.

What are the key skills and qualifications needed to thrive as a Freelance Remote Image Annotation Specialist, and why are they important?

To excel as a Freelance Remote Image Annotation Specialist, you need strong attention to detail, visual analysis skills, and a basic understanding of computer vision concepts, often supported by experience or training in data annotation. Familiarity with annotation tools like Labelbox, VGG Image Annotator, or Supervisely, as well as basic proficiency in using cloud-based platforms, is typically required. Time management, reliability, and effective written communication are crucial soft skills for meeting deadlines and collaborating remotely. These competencies ensure high-quality, accurate datasets essential for training AI models and supporting machine learning projects.

What is freelance remote image annotation?

Freelance remote image annotation involves labeling or tagging elements within images to help train artificial intelligence and machine learning models. As a freelancer, you work from home or any location, using online platforms or specialized software to mark objects, boundaries, or features within digital images according to specific guidelines. This work is essential for industries like autonomous vehicles, healthcare, and e-commerce, as annotated images enable computers to 'see' and understand visual data. Freelance image annotators typically get paid per task or project, offering flexibility and the opportunity to work with multiple clients. Attention to detail, time management, and basic computer skills are important for success in this role.

What are some common challenges faced in freelance remote image annotation, and how can they be managed effectively?

Freelance remote image annotation professionals often face challenges such as maintaining high accuracy under tight deadlines, handling repetitive tasks, and ensuring consistent internet connectivity. Managing these challenges involves developing a strong attention to detail, setting up a distraction-free workspace, and using time management tools to balance multiple projects. Regular communication with project managers and staying updated on annotation guidelines also help ensure quality and efficiency in the role.
What are the most commonly searched types of Remote Image Annotation jobs in Washington? The most popular types of Remote Image Annotation jobs in Washington are:
What are popular job titles related to Freelance Remote Image Annotation jobs in Washington? For Freelance Remote Image Annotation jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Freelance Remote Image Annotation jobs in Washington look for? The top searched job categories for Freelance Remote Image Annotation jobs in Washington are:
What cities in Washington are hiring for Freelance Remote Image Annotation jobs? Cities in Washington with the most Freelance Remote Image Annotation job openings:
Freelance Remote 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

Apply