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Remote Image Analysis Jobs in Virginia (NOW HIRING)

TRIAEM, LLC

Systems Engineer

Sterling, VA · On-site +1

Conducts planning, analysis/traceability of user requirements, architectures traceability ... Working knowledge of photogrammetry, remote sensing, image science, information sciences ...

TRIAEM, LLC

Systems Engineer

Sterling, VA · On-site +1

Conducts planning, analysis/traceability of user requirements, architectures traceability ... Working knowledge of photogrammetry, remote sensing, image science, information sciences ...

aqua IT

AI/ML Engineer (Computer Vision)

Herndon, VA · On-site +1

Experience processing and augmenting image datasets at scale * 3+ years of experience with AWS ML ... result analysis * Experience with both quantitative metrics and qualitative/human evaluation ...

ITC Federal, Inc

Senior Data Specialist

Fairfax, VA · Remote

Remote CLEARANCE: Public Trust - Candidates do not need to be cleared at the time of application ... processing (EFP), image and data file conversion, data culling using review tools, quality ...

Peraton

Expert Level Systems Engineer

Chantilly, VA · On-site +1

$135K - $216K/yr

Analysis of Alternatives (AoA) * Course of Action (COA) development * Trade studies * Engineering ... Remote sensing * Image science * Geographic Information Systems (GIS) * Geomatics * Information ...

Peraton

Expert Level Systems Engineer

Chantilly, VA · On-site +1

$135K - $216K/yr

Analysis of Alternatives (AoA) * Course of Action (COA) development * Trade studies * Engineering ... Remote sensing * Image science * Geographic Information Systems (GIS) * Geomatics * Information ...

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All JobsRemote Image Analysis JobsRemote Image Analysis Jobs in Virginia

Remote Image Analysis information

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

To thrive as a Remote Image Analyst, you need a solid background in image processing, pattern recognition, and a relevant degree in fields like computer science or engineering. Familiarity with software such as MATLAB, Python (with libraries like OpenCV), and GIS platforms is typically required, along with certifications in data analysis or remote sensing. Attention to detail, analytical thinking, and effective communication are essential soft skills for interpreting images and sharing findings with stakeholders. These skills ensure accurate data interpretation, support decision-making, and enable seamless collaboration in remote work environments.

What is remote image analysis?

Remote image analysis is the process of examining and interpreting images from a distance, often using specialized software and cloud-based platforms. Professionals in this field analyze images from sources such as satellites, drones, medical imaging devices, or security cameras to extract useful information without being physically present. This approach allows for efficient data processing, real-time collaboration, and accessibility from anywhere with an internet connection. Remote image analysis is commonly used in industries like healthcare, agriculture, environmental monitoring, and security.

What are some common challenges faced in a remote image analysis role, and how can they be addressed?

One common challenge in remote image analysis is maintaining effective communication with team members and project stakeholders, as collaboration often relies on digital platforms. Additionally, handling large datasets and ensuring secure data transfer can be technically demanding in a remote setup. To address these issues, professionals should become proficient with collaborative tools (such as Slack, Zoom, or project management software) and follow best practices for data security and version control. Regular check-ins and clear documentation also help ensure smooth workflow and minimize misunderstandings.

What is the difference between Remote Image Analysis vs Remote Data Annotation?

AspectRemote Image AnalysisRemote Data Annotation
Primary FocusInterpreting and analyzing images to extract meaningful informationLabeling and tagging data to prepare datasets for machine learning
Required SkillsImage recognition, pattern analysis, attention to detailData labeling, understanding of annotation tools, accuracy
Work EnvironmentRemote, often flexible hours, tech-focusedRemote, collaborative platforms, tech and communication skills
Industry UsageHealthcare, security, autonomous vehiclesAI, machine learning, computer vision projects

Remote Image Analysis involves interpreting images to extract insights, often requiring specialized visual skills. Remote Data Annotation focuses on labeling data to train AI models, emphasizing accuracy and consistency. Both roles are remote, industry-specific, and essential for AI development, but they differ in their core tasks and skill sets.

What are the most commonly searched types of Image Analysis jobs in Virginia? The most popular types of Image Analysis jobs in Virginia are:
What are popular job titles related to Remote Image Analysis jobs in Virginia? For Remote Image Analysis jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Image Analysis jobs in Virginia look for? The top searched job categories for Remote Image Analysis jobs in Virginia are:
What cities in Virginia are hiring for Remote Image Analysis jobs? Cities in Virginia with the most Remote Image Analysis job openings:
Remote Image Analysis jobs near you

Expert Systems Engineer

Analytic Services Inc

Springfield, VA • On-site, Remote

Other

Posted 20 days ago

Job description

Position Summary

ANSER is seeking an Expert Systems Engineer to support enterprise-level geospatial intelligence (GEOINT) systems engineering efforts across the National System of Geospatial-Intelligence (NSG), Allied System of Geospatial-Intelligence (ASG), and Federal Agency environments. You will provide technical leadership in requirements engineering, systems integration, cloud-based solution development, and strategic engineering initiatives supporting mission-critical national security programs. You will serve as a trusted advisor to government stakeholders while leading complex engineering assessments, modernization efforts, and cross-organizational integration activities.

Day-to-Day Responsibilities

  • Lead and support multi-disciplinary systems engineering activities across NSG, ASG, and Federal Agency programs.
  • Assist the Government in directing requirements engineering, solutions engineering, systems integration, and test and evaluation activities.
  • Analyze and maintain traceability of user requirements, system architectures, and technical solutions.
  • Evaluate cloud service capabilities, workflow processes, and scheduling limitations to improve system performance and operational efficiency.
  • Advise Government stakeholders on proposed solution designs, modernization strategies, and emerging technologies.
  • Translate mission and customer needs into technical requirements, system capabilities, and engineering solutions.
  • Support requirements allocation across systems architecture components and executing programs.
  • Conduct and support systems integration activities across complex enterprise environments.
  • Lead or support Analysis of Alternatives (AoAs), Courses of Action (CoAs), Trade Studies, and Engineering Assessments.
  • Support strategic technical planning, project management, performance engineering, and risk management initiatives.
  • Provide technical guidance relating mission objectives, strategic plans, and capability development efforts.
  • Integrate systems and engineering activities across organizational, agency, and governmental boundaries.
  • Support engineering efforts across cloud, hybrid, and on-premises infrastructures.
  • Mentor and oversee senior-, mid-, and junior-level systems engineers.
  • Collaborate with cross-functional government and contractor teams supporting GEOINT mission operations.

Required Qualifications

  • Active TS/SCI with Poly
  • Bachelor's degree in systems engineering or a related STEM field such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, or Management Information Systems. Equivalent additional experience may be substituted for degree requirements.
  • 18+ years of experience supporting government or industry programs involving DoD/IC acquisition processes, requirements processes, PPBES, or systems engineering for large complex System of Systems or Service-Oriented Architecture environments.
  • Demonstrated strong understanding of the systems engineering lifecycle.
  • Demonstrated expertise in systems engineering lifecycle processes, large-scale system-of-systems integration, and DoD/IC acquisition environments.
  • Demonstrated knowledge of current NSG/ASG and NRO enterprise environments.
  • Previous NGA and/or NSG/ASG program or project experience.
  • Previous Intelligence Community (IC) or Department of Defense (DoD) program/project experience.
  • Experience supporting systems integration, enterprise engineering, and technical modernization efforts.
  • Experience working in cloud, on-premises, or hybrid enterprise infrastructures.
  • Strong analytical, organizational, and communication skills.

Preferred Qualifications

  • Master's degree or higher in Systems Engineering or related STEM discipline.
  • Working knowledge of Model-Based Systems Engineering (MBSE) processes, tools, and languages.
  • Software Development Framework certification.
  • INCOSE Expert Systems Engineering Professional (ESEP) certification.
  • Professional Engineer (PE) license.
  • Membership or leadership participation in professional organizations such as ACSM, ASCE, ASPRS, OGC, SAREM, or USGIF.
  • Extensive experience in geospatial intelligence (GEOINT) environments.
  • Experience engineering solutions using cloud-based technologies.
  • Experience engineering solutions utilizing structured and unstructured Big Data platforms.
  • Experience engineering solutions leveraging automation, augmentation, and Artificial Intelligence (AI) technologies.
  • Demonstrated expertise in photogrammetry, remote sensing, image science, geographic information systems (GIS), geomatics, or related disciplines.
  • Experience supporting enterprise modernization and digital transformation initiatives within the DoD or IC communities.

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