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Flexible Remote Image Segmentation Jobs (NOW HIRING)

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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 Jun 22, 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:
What job categories do people searching Flexible Remote Image Segmentation jobs look for? The top searched job categories for Flexible Remote Image Segmentation jobs are:
Infographic showing various Flexible Remote Image Segmentation job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution, with an average salary of $90,701 per year, or $43.6 per hour.

Pathologists (Freelance - Remote) - Indianapolis, US

Prolific Academic Ltd

Indianapolis, IN โ€ข Remote

$200/hr

Full-time

Posted 16 days ago

Be an early applicant


Job description

Pathologists (Freelance - Remote)About Prolific

Prolific is not just another player in the AI space โ€“ we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We are seeking qualified Pathologists to support a high-impact AI development project focused on medical image interpretation and clinical accuracy. As AI models become increasingly capable of analyzing complex medical data, we need experienced specialists to help ensure their outputs meet the highest standards of quality and reliability.

This is a flexible, remote opportunity paying approximately $200 per hour. Your expertise will directly contribute to the development of advanced AI systems used in healthcare and medical research.

To qualify for this project, you will be required to complete a short paid skills assessment as part of the screening process. The assessment is compensated at a rate of $48 per hour and typically takes no more than 5 minutes to complete.

What you'll bring
  • Verified status as a qualified Pathologist with relevant professional credentials
  • Experience interpreting and analysing medical images and pathology-related data
  • Strong attention to detail and the ability to assess complex medical information accurately
  • A reliable, fast internet connection and access to a computer
  • A PayPal account to receive payments from our clients
What you'll be doing in the role
  • Annotating medical images using your professional expertise
  • Reviewing and verifying AI-generated interpretations of medical images
  • Correcting inaccuracies and providing expert feedback on AI-generated responses
  • Evaluating the quality, accuracy, and clinical relevance of model outputs
  • Helping improve the performance of next-generation AI systems used in medical applications
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation โ€“ one that reflects the breadth and the best of humanity.

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.