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Flexible Remote Image Segmentation Jobs (NOW HIRING)

... in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for ... Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion ...

... in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for ... Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion ...

HEALTH: - Medical, Dental and Vision benefits for you and your family, including Flexible Spending ... Troubleshooting; support for remote centers participating in trials * Resolve transfer errors and ...

HEALTH: - Medical, Dental and Vision benefits for you and your family, including Flexible Spending ... Troubleshooting; support for remote centersparticipatingin trials * Resolve transfer errors and ...

Knowledge of ground processing architectures and image processing algorithms for passive remote ... flexible spending accounts, EAP, educationassistance, parental leave, paid time off, and company ...

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Flexible Remote Image Segmentation information

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$18

$43

$70

How much do flexible remote image segmentation jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for flexible remote image segmentation in the United States is $43.61, according to ZipRecruiter salary data. Most workers in this role earn between $33.89 and $50.72 per hour, depending on experience, location, and employer.

What is flexible remote image segmentation?

Flexible Remote Image Segmentation refers to the process of identifying and separating different objects or regions within digital images using specialized software, while working remotely with flexible hours. Professionals in this role use machine learning and image processing techniques to annotate, label, or segment images for applications such as medical imaging, self-driving cars, or AI training datasets. The 'flexible remote' aspect means workers can complete tasks from any location and often on their own schedule, making it ideal for those seeking work-life balance or part-time opportunities.

What are the key skills and qualifications needed to thrive as a flexible remote image segmentation specialist?

To thrive as a Flexible Remote Image Segmentation Specialist, you need a strong background in computer vision, image processing, and data annotation, typically supported by a degree in computer science or a related field. Familiarity with tools like Python, OpenCV, TensorFlow, and specialized annotation platforms, along with experience in using cloud-based collaboration systems, is essential. Attention to detail, strong time management, and effective remote communication are vital soft skills for success in this role. These abilities ensure high-quality, accurate segmentation results and smooth collaboration in distributed teams, which is crucial for delivering reliable data for machine learning projects.

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

In a flexible remote image segmentation role, one common challenge is maintaining clear communication with team members, especially when collaborating across different time zones. Another challenge is ensuring consistent annotation quality, as image segmentation tasks require precision and attention to detail. To address these, it's helpful to use collaborative tools, establish clear guidelines, participate in regular team check-ins, and seek feedback on your work. Setting up a dedicated workspace and sticking to a structured routine can also enhance focus and productivity.

What is the difference between Flexible Remote Image Segmentation vs Flexible Remote Data Annotation?

AspectFlexible Remote Image SegmentationFlexible Remote Data Annotation
Primary FocusDividing images into meaningful segments for analysisLabeling and annotating data, including images, for machine learning
Skills RequiredImage processing, computer vision, annotation toolsAttention to detail, labeling accuracy, annotation tools
Work EnvironmentRemote, often collaborative with AI teamsRemote, often collaborative with data science teams
Industry UsageComputer vision, autonomous vehicles, medical imagingMachine learning, AI training, data management

While both roles involve working with data and images remotely, Flexible Remote Image Segmentation focuses on dividing images into segments for analysis, whereas Flexible Remote Data Annotation involves labeling data to train AI models. Understanding these differences helps in choosing the right role based on skills and industry needs.

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Infographic showing various Flexible Remote Image Segmentation job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 13% In-person, and 87% Remote job distribution, with an average salary of $90,701 per year, or $43.6 per hour.

Staff Computer Vision AI/ML Engineer

King Of Prussia, PA • Remote

Full-time

Medical, Retirement, PTO

Posted 14 days ago


Job description

Job Title: Staff Computer Vision AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: None Type of Travel: None Anticipated Posting End: 12/31/2026 The Opportunity: This position, in either Aurora, CO or King of Prussia, PA, is for a Staff Computer Vision AI/ML Engineer. As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to problems in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for Electro-Optical (EO) and Synthetic Aperture RADAR (SAR). You will be responsible for maturing, optimizing, and deploying these algorithms to a cloud-hosted environment.

You will also serve as a technical leader and will have the opportunity to guide a team of researchers and developers to see these algorithms from prototype to operations. Responsibilities: Our ideal candidate is an experienced professional who has researched and developed AI/ML-based computer vision algorithms and deployed these algorithms to operational environments. This candidate will have the opportunity to apply their knowledge in AI/ML to solve a broad set of problems across multiple domains.

This candidate will be joining a team of talented researchers and software developers with the opportunity to lead and mentor junior engineers. Additionally, they will work our technical and business strategy leadership team to help shape our growing AI/ML portfolio. As a CV AI/ML Engineer, your responsibilities include: Leading a small team consisting of developers and researchers to implement AI/ML algorithms to solve computer vision problems in remote sensing Analyzing and pre-processing large remote sensing datasets Researching supervised and unsupervised ATR solutions for remote sensing Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenarios Training, optimizing, and deploying deep learning CV models that provide analysts with actionable insights Reviewing relevant publications to understand cutting edge concepts, break down key ideas to government customers, and apply to defense and commercial applications Writing technical documentation supporting code, program capabilities and user-guides Qualifications: Required: Active TS/SCI Clearance B.S

in Data Science, AI/ML, Computer Science, or related field 10+ years of experience, preferably in software development or as a data scientist with 5+ years of developing/training AI/ML model Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performance Experience with Python and any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCV Experience training wither convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.) Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customers Desired: MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL) Experience with applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problems Experience working with image processing chains for any of the following domains: SAR, EO, and OPIR Experience working with datasets of overhead imagery like xView, SpaceNet datasets, Functional Map of the World, xView3, MSTAR, HRSID, CAESAR, DOTA v1/v2, etc. Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc

Experience with version control processes and tools for code version control, data version control, and model version control Experience with Linux Experience with implementing tracking and fusion, and pattern-of-life algorithms Experience in application deployment, virtualization, and containerization Experience shaping and writing proposals Active TS/SCI U.S. Government Security Clearance with Polygraph - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do

As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day.

You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities.

Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is: $114,600-$252,100 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.