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Flexible Remote Image Segmentation Jobs (NOW HIRING)

This is a part-time, fully remote opportunity requiring approximately 20 hours per week ... Image Segmentation * Object Recognition * Vision-Language & Multimodal Reasoning * Image and Video ...

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Pavement Image and Data Processor

Olathe, KS · On-site +1

$19.50 - $27.50/hr

Use Pave-AI's custom PCI algorithms to calculate and display site- and segment-specific results ... Ability to work flexible hours (including evenings and weekends) to allow for remote access ...

Medical, Dental and Vision benefits for you and your family, including Flexible Spending Accounts ... Fluent This role is remote. Candidates located in the following states: AZ, CT, DE, FL, GA, IL, MA ...

Market Segment Manager

Boston, MA · On-site +1

$115K - $165K/yr

Remote or Hybrid if in range of a Lubrizol site Join Our Thriving Team at Lubrizol as Market ... Flexible work environment Salary Range: $115,000 - $165,000. This range represents a good faith ...

Market Segment Manager

Raleigh, NC · On-site +1

$115K - $165K/yr

Remote or Hybrid if in range of a Lubrizol site Join Our Thriving Team at Lubrizol as Market ... Flexible work environment Salary Range: $115,000 - $165,000. This range represents a good faith ...

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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 Aug 1, 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 are the key skills and qualifications needed to thrive as a Flexible Remote Image Segmentation Specialist, and why are they important?

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 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 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.

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.
More about Flexible Remote Image Segmentation jobs
What cities are hiring for Flexible Remote Image Segmentation jobs? Cities with the most Flexible Remote Image Segmentation job openings:
What are the most commonly searched types of Remote Image Segmentation jobs? The most popular types of Remote Image Segmentation jobs are:
What states have the most Flexible Remote Image Segmentation jobs? States with the most job openings for Flexible Remote Image Segmentation jobs include:
Infographic showing various Flexible Remote Image Segmentation job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $90,701 per year, or $43.6 per hour.

Senior Computer Vision AI/ML Engineer (TS/SCI) {S}

Careers - Stratagem - Make a Lasting Impact

King Of Prussia, PA • Remote

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.

Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!

Position Overview:

This position is for aSenior 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. 

We offer generous relocation benefits for eligible candidates.

In support of work/life balance, many positions are available for a flexible schedule within the pay period.  Ask us about the opportunity for flex scheduling if that’s of interest to you. 

Responsibilities:

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 

              Required Qualifications:

              • BS in machine learning, computer science, computer vision, mathematics, or relevant fields
              • 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 
              • 5+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML models 
              • Active TS/SCI U.S. Government Security Clearance

                            Preferred Qualifications:

                            • 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 with a Counter Intelligence (CI) or recent Full-Scope Polygraph (FSP) U.S. Government Security Clearance

                            Location: King of Prussia, PA

                            Situated less than an hour outside of Philadelphia and hosting the largest mall on the east coast, King of Prussia offers the urban feel sought in the city, while also giving opportunities to experience the beauty and history found only in Pennsylvania.

                            What We Offer:

                            • Comprehensive medical/vision/dental insurance packages
                            • Company contributions to qualified HSA accounts
                            • 401k retirement plan with industry leading company contributions
                            • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
                            • 13 paid holidays
                            • Upfront tuition assistance for approved degree programs
                            • Annual bonus program based on company and employee performance
                            • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
                            • 4 weeks paid Parental Leave
                            • Employee assistance program (EAP)

                            EHS/Environmental Requirements:

                            This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

                            Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.

                            ITC & Security Clearance Requirements:

                            This position requires an active TS/SCI U.S. Government Security Clearance.

                            Visa Restrictions:

                            No visa sponsorship is available for this position.

                            Pre-employment Screenings:

                            Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.