ZipRecruiter

Log In

2

Remote Image Analysis Jobs (NOW HIRING)

Danaher

Senior Software Engineer - USA Remote

OR · Remote

$122.40K - $161.30K/yr

Our advanced microscopes and AI-based image analysis solutions enable users to gain profound ... This fully remote position is part of the Leica Microsystems Research and Development organization ...

Danaher

Senior Software Engineer - USA Remote

Raleigh, NC · Remote

$119.10K - $157K/yr

Our advanced microscopes and AI-based image analysis solutions enable users to gain profound ... This fully remote position is part of the Leica Microsystems Research and Development organization ...

Danaher

Senior Software Engineer - USA Remote

$125.40K - $165.30K/yr

Our advanced microscopes and AI-based image analysis solutions enable users to gain profound ... This fully remote position is part of the Leica Microsystems Research and Development organization ...

Danaher

Senior Software Engineer - USA Remote

Durham, NC · Remote

$118.40K - $156.10K/yr

Our advanced microscopes and AI-based image analysis solutions enable users to gain profound ... This fully remote position is part of the Leica Microsystems Research and Development organization ...

next page

Showing results 1-20

People also search for

All JobsRemote Image Analysis Jobs

Remote Image Analysis information

See salary details

$15

$27

$41

How much do remote image analysis jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote image analysis in the United States is $27.94, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $29.81 per hour, depending on experience, location, and employer.

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 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 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 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.

More about Remote Image Analysis jobs
What cities are hiring for Remote Image Analysis jobs? Cities with the most Remote Image Analysis job openings:
What are the most commonly searched types of Image Analysis jobs? The most popular types of Image Analysis jobs are:
What states have the most Remote Image Analysis jobs? States with the most job openings for Remote Image Analysis jobs include:
What job categories do people searching Remote Image Analysis jobs look for? The top searched job categories for Remote Image Analysis jobs are:
Remote Image Analysis jobs near you
Infographic showing various Remote Image Analysis job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, 33% Temporary, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $58,107 per year, or $27.9 per hour.
Physicist / Remote Sensing Scientist

Physicist / Remote Sensing Scientist

Barone Consulting

Dayton, OH • Remote

Full-time

Posted 9 days ago

Job description

We are seeking an experienced TS/SCI cleared Remote Sensing Scientist / Physicistwith a deep understanding of the mathematics/geometry of sensor homography / image stitching. The ideal candidate will have photogrammetry skills and a background with remote sensing principles and sensor/target phenomenology or spectral phenomenology and algorithm development experience across a broad spectral range from visible to thermal. If your strength lies in domain image processing and data/scene exploitation and you want to work on a compelling project that has to do with enabling next-generation capabilities for national defense, specifically to help shape the future of airborne and space-based surveillance, this position will place you at the cutting edge.You will support a large R&D program that is focused on providing advanced intelligence capabilities for the benefit of the DoD and IC communities.

You will be part of a very high visibility project on a mid-sized team where you will work with seasoned scientists and developers, creating solutions to complex problems within a collaborative team environment.ResponsibilitiesDevelop and apply advanced models for sensor homography, image stitching, and geometric alignment of multi-sensor and/or multi-modal imageryAnalyze remote sensing data using domain-specific knowledge of sensor and target phenomenology (OPIR, EO, MSI, etc)Implement computer vision and image processing techniques for large-scale scene exploitationSupport development and analysis of persistent collection systems and architecturesConduct technical studies involving focal plane array characteristics, such as quantum efficiency, flux density, pixel crosstalk, and noise modelingUtilize Python and/or MATLAB for prototyping, algorithm development, and data analysis to write scientific code for clutter and noise mitigation, image reconstruction, compressive sensing, tracking, detection, feature extraction and classification, stereo, machine learning, signal processing, and radiometric calculationsCollaborate on multidisciplinary R&D efforts and contribute to technical strategy developmentRequired Must Have SkillsIn-depth understanding of mathematical principles behind image registration, sensor fusion, and geometric modelingStrong grasp of scientific focal plane array (FPA) concepts, including quantum efficiency, crosstalk, pixel sensitivity, and flux behaviorFamiliarity with persistent collection systems, their design considerations, and operational implicationsDemonstrated expertise in domain-specific remote sensing, including sensor/target interactionsProficiency in both Python and MATLAB and for scientific computing and algorithm developmentExperience developing or optimizing algorithms for deployment in operational environmentsActive TS/SCI clearance with CI Scope PolygraphExperience designing and deploying computer vision algorithms in remote sensing workflowsKnowledge of spectral imaging, radiometric calibration, or sensor characterizationWorking familiarity with AI/ML techniques applied to spatial or temporal imageryRecord of published work or conference presentations in the fields of remote sensing or sensor modelingExperience transitioning algorithms from prototype to deployed system in defense or ISR environmentsQualifications (education/experience substitutions are allowed)Mid-level candidates must have a B.A./B.S. and 4 years of experienceSenior level candidates must have a B.A./B.S. and 10 years of experienceSME level candidates must have a M.A./M.S.

and 18 years of experienceJ-18808-Ljbffr

Apply