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Remote Image Analysis Jobs in Virginia (NOW HIRING)

VTG

Systems Engineer

Springfield, VA · On-site +1

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

Astor & Sanders

Senior Software Engineer

Mclean, VA · Remote

$123K - $163K/yr

This is a full-time position, and is 100% remote. Roles and Responsibilities * The Software ... analysis * Conduct vulnerability scanning using tools such as Trivy, AWS ECR image scanning, and ...

Astor & Sanders Corporation

Senior Software Engineer

Mclean, VA · On-site +1

$123K - $163K/yr

... remote. Roles and Responsibilities * The Software Engineer will be responsible for designing ... analysis * Conduct vulnerability scanning using tools such as Trivy, AWS ECR image scanning, and ...

ITC Federal, Inc

ALS Lab Manager

Fairfax, VA · Remote

Remote CLEARANCE: Public Trust - Candidates do not need to be cleared at the time of application ... Performs analysis, development and implementation of processing approaches for electronic files and ...

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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
Systems Engineer

Systems Engineer

VTG

Springfield, VA • On-site, Remote

Full-time

Posted 2 days ago

Job description

Overview

VTG is looking for a Systems Engineer in Springfield, VA.


What will you do?

Mid-level Systems Engineers employ a multi-discipline approach to requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability and analysis across the National System of Geospatial-intelligence (NSG), Allied System of Geospatial-intelligence (ASG) and Federal Agencies to ensure timely and accurate GEOINT.

Duties include:

  • Conducts requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability and analysis across the National System of Geospatial-intelligence (NSG), Allied System of Geospatial-intelligence (ASG) and Federal Agencies.
  • Conducts planning, analysis/traceability of user requirements, architectures traceability, procedures, and problems to automate or improve existing systems and review cloud service capabilities, workflow, and scheduling limitations.
  • Develops solutions designs based on analysis of requirements and new technology and mentor Junior Engineers in developing these skill sets.
  • Assists the Government in the capture and translation of mission and customer requirements/needs into systems/capability requirements and solutions.
  • Supports the analyses and allocation of requirements to systems architecture components and executing programs.
  • Assists the Government in performing systems integration activities.
  • Assists with Analysis of Alternatives (AoAs), Course of Actions (CoAs), Trade Studies, and Engineering Assessments.
  • Assists the Government in strategic technical planning, project management, performance engineering, risk management and interface design.
  • Ability to solve complex problems, lead a team(s) and work independently and proactively with minimal supervision.

Do you have what it takes?
 
 

Required:

  • Bachelor’s degree or higher in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or equivalent Mid-Level Systems Engineer work experience.
  • Mid-level experience in government or industry in relevant work areas including: DoD/IC Acquisition Process, Requirements Process, PPBES Process or system engineering of large complex System of Systems or Service Oriented Architecture/Cloud environments.
  • Mid-level experience system engineering experience in government or industry.
  • Experience communicating and collaborating both within and external to organization.

Desired:

  • Working knowledge of Model Based Systems Engineering, processes, tools and languages.
  • Working knowledge of Software Development Frameworks.
  • INCOSE Associate System Engineering Professional (ASEP) certification.
  • Documented work experience in the field of geospatial intelligence.
  • Membership or active participation in any of the following professional organizations:
    • ACSM
    • ASCE
    • ASPRS
    • OGC
    • SAREM
    • USGIF
  • Working knowledge of photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields.
  • Demonstrated knowledge of the current NSG/ASG and NRO enterprises.


Qualifications:
 
 

Required:

  • Bachelor’s degree or higher in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or equivalent Mid-Level Systems Engineer work experience.
  • Mid-level experience in government or industry in relevant work areas including: DoD/IC Acquisition Process, Requirements Process, PPBES Process or system engineering of large complex System of Systems or Service Oriented Architecture/Cloud environments.
  • Mid-level experience system engineering experience in government or industry.
  • Experience communicating and collaborating both within and external to organization.

Desired:

  • Working knowledge of Model Based Systems Engineering, processes, tools and languages.
  • Working knowledge of Software Development Frameworks.
  • INCOSE Associate System Engineering Professional (ASEP) certification.
  • Documented work experience in the field of geospatial intelligence.
  • Membership or active participation in any of the following professional organizations:
    • ACSM
    • ASCE
    • ASPRS
    • OGC
    • SAREM
    • USGIF
  • Working knowledge of photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields.
  • Demonstrated knowledge of the current NSG/ASG and NRO enterprises.


Education:UNAVAILABLEEmployment Type: FULL_TIME

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