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Contractual Remote Data Annotation Jobs in Virginia

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 ... Support annotation workflows by identifying and flagging imagery containing objects of interest

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ICF

Contracts Manager (Remote)

Reston, VA · Remote

$92K - $123K/yr

At ICF, business analysts and policy specialists collaborate with digital strategists, data ... Identify contractual and/or RFP terms which may pose risk to the company and provide ...

ICF International, Inc.

Contracts Manager (Remote)

Reston, VA · On-site +1

$92K - $123K/yr

At ICF, business analysts and policy specialists collaborate with digital strategists, data ... Maintain all required contractual and price/business volume documentation. • Review and negotiate ...

ICF

Contracts Manager (Remote)

Reston, VA · Remote

$92K - $123K/yr

Identify contractual and/or RFP terms which may pose risk to the company and provide ... Support data calls, maintain compliance with SOX and other governmental requirements, as well as ...

SAIC

Contracts Sr Principal

Reston, VA · On-site +1

$92K - $123K/yr

ORA_REMOTE Description The Senior Contracts Principal will lead the preparation, negotiation, and ... Support audits, contract data requests, and compliance assessments as needed, ensuring internal and ...

Pantheon Data LLC

Senior Program Manager

Arlington, VA · Remote

$132K - $133K/yr

... contractual objectives. * Serve as the primary client interface to senior Navy stakeholders ... If the position is remote or hybrid, you may periodically work from a Pantheon Data office location ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site +1

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

McBride

Power BI Developer

Arlington, VA · Remote

$125K - $140K/yr

This is a remote position. McBride Consulting is seeking a PowerBI Developer for a banking client ... maintain contractual compliance. Requirements • Experience in data/BI development, financial ...

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Contractual Remote Data Annotation information

What is contractual remote data annotation?

Contractual remote data annotation involves labeling or tagging data—such as images, text, or audio—while working from a remote location, usually as a contractor rather than a full-time employee. Data annotation is a crucial step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms learn to recognize patterns and make predictions. Contractors are typically assigned specific tasks or projects and are paid based on the volume or quality of their completed annotations. This type of work requires attention to detail, reliability, and sometimes domain-specific knowledge, depending on the project.

What is the difference between Contractual Remote Data Annotation vs Data Labeler?

AspectContractual Remote Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible or fixed hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job ScopeAnnotating data for training AI modelsLabeling data to train AI systems

Contractual Remote Data Annotation involves completing data annotation tasks on a contractual basis, often with flexible hours and remote work. Data Labelers perform similar tasks but may work on a freelance or part-time basis, sometimes in different environments. Both roles support AI development, but Contractual Remote Data Annotation typically emphasizes contractual agreements and remote flexibility.

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

To thrive as a Contractual Remote Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling concepts, and often a basic understanding of machine learning or AI workflows. Proficiency with annotation platforms like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as experience with common data types such as images, text, or audio, is typically required. Reliability, time management, and clear communication are essential soft skills for meeting deadlines and maintaining quality in remote, independent work. These skills and qualifications ensure accuracy and efficiency, which are critical for producing high-quality datasets that power AI and machine learning models.

What are some common challenges faced by contractual remote data annotators, and how can they be addressed?

Contractual remote data annotators often face challenges such as repetitive tasks, maintaining accuracy over long periods, and managing communication with distributed teams. To address these, it's important to establish a structured workflow, take regular breaks to prevent fatigue, and use quality control tools provided by employers. Staying proactive in seeking clarification on annotation guidelines and participating in team discussions can also help ensure consistent results and foster a supportive remote work environment.
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:
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What cities in Virginia are hiring for Contractual Remote Data Annotation jobs? Cities in Virginia with the most Contractual Remote Data Annotation job openings:
Contractual Remote Data Annotation jobs near you

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.

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