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Remote Image Analysis Jobs (NOW HIRING)

Apex Informatics

Senior It Analyst/Programmer

$45.50 - $61.75/hr

REMOTE Scope: With appropriate training from unit technical staff, resource will perform daily ... the Image Management Systems unit. Requirements: -Significant experience in systems analysis ...

GRVTY

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

GRVTY

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

Skyline Scientific Inc

Senior Scientist

Dayton, OH · Remote

$85K - $116K/yr

This role applies physics-based modeling, image science, and data analytics to detect, track, locate, and characterize remote sensing targets. While familiarity with OPIR is valuable, the primary ...

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Remote Image Analysis information

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$15

$27

$41

How much do remote image analysis jobs pay per hour?

As of Jul 11, 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 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.

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 July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $58,107 per year, or $27.9 per hour.
Remote Ophthalmologist for AI Imaging Review

Remote Ophthalmologist for AI Imaging Review

Prolific

Seattle, WA • Remote

$200/hr

Full-time

Posted 2 days ago

New

Job description

Prolific is seeking qualified ophthalmologists for a high-impact AI development project focused on medical image interpretation and clinical accuracy. This flexible, remote opportunity offers approximately $200 per hour, with the requirement to complete a short paid skills assessment compensated at $48 per hour.

The ideal candidates will review and analyze medical images, verify AI interpretations, and provide expert feedback, ensuring the highest standards of quality and reliability in our AI outputs.

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