2

Image Labeling Remote Jobs (NOW HIRING)

You'll draw on your hands-on experience with medical image analysis, CT/MRI segmentation, or ... Annotating or labeling medical imaging datasets * Reviewing segmentation outputs for accuracy ...

... label/packaging text extraction * Strong Python skills with experience in OpenCV, image ... Fully remote, with a NYC co-working space available; distributed team across multiple time zones ...

Senior ML/VLM Engineer

Manhattan, NY · Remote

$200K - $240K/yr

Senior Machine Learning Engineer (Computer Vision / Vision-Language Models) Remote (U.S. or Canada ... Build multimodal systems that combine image, video, and text data * Develop labeling, evaluation ...

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$89K - $121.50K/yr

... labeling and model testing purposes. This may involve converting between file format types or ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Labeling * Model testing * Advanced exploitation workflows * Investigate gaps in emerging EO sensor ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Manager of Regulatory Affairs Job Type: Full-Time (Remote) ARMRA Schedule: Monday-Friday, 9 am - 6 ... Performative - We don't play games, manipulate optics, or curate an image for external approval.

Deep Domain Expertise: 12+ years of experience in remote sensing and satellite image analysis, with ... Experience building automated pipelines for preprocessing and labeling planetary-scale datasets.

Manager of Regulatory Affairs Job Type: Full-Time (Remote) ARMRA Schedule: Monday-Friday, 9 am - 6 ... Performative - We don't play games, manipulate optics, or curate an image for external approval.

Sr Machine Learning Engineer- Computer Vision

Atlanta, GA · On-site +1

$111.50K - $185.90K/yr

That imagery is one of the largest and most diverse vehicle image catalogs in the world and is the ... Based on business needs you will identify and mine new datasets, work with our 3rd party labeling ...

next page

Showing results 1-20

Image Labeling Remote information

See salary details

$10

$13

$17

How much do image labeling remote jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for image labeling remote in the United States is $13.97, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $15.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Image Labeling Remote worker, and why are they important?

To thrive as an Image Labeling Remote worker, you need strong attention to detail, basic computer literacy, and familiarity with data annotation concepts, often supported by a high school diploma or equivalent. Proficiency with image labeling platforms such as Labelbox, Supervisely, or proprietary annotation tools is typically required. Reliability, self-motivation, and the ability to follow precise instructions make someone stand out in this position. These skills ensure that labeled data is accurate and consistent, which is crucial for training high-quality machine learning models.

What are some common challenges faced by remote image labeling professionals, and how can they be managed?

Remote image labeling professionals often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and communicating effectively with team members across different time zones. To manage these, it's helpful to set up a dedicated, distraction-free workspace, take regular breaks to prevent fatigue, and use collaboration tools like Slack or project management platforms to stay connected with the team. Adhering closely to labeling guidelines and participating in regular quality reviews also help maintain accuracy and consistency.

What is image labeling in a remote job?

Image labeling in a remote job involves tagging or annotating images with relevant information or categories from your home or any location outside of a traditional office. This process helps train machine learning models to recognize objects, people, or scenes within images. Remote image labelers use specialized software to identify and mark features according to project guidelines. The work is often flexible and may be paid per task or per hour, depending on the employer.

What is the difference between Image Labeling Remote vs Data Annotation Specialist?

AspectImage Labeling RemoteData Annotation Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, data processing
Search & Comparison IntentOften compared for similar data labeling rolesRelated role in data preparation

Image Labeling Remote and Data Annotation Specialist roles both involve preparing data for AI systems, often working remotely with similar skills. However, Image Labeling Remote typically focuses specifically on labeling images and visual data, while Data Annotation Specialist may include a broader range of data types like text or audio. Both roles are essential in AI development and share similar work environments and skill requirements.

More about Image Labeling Remote jobs
What cities are hiring for Image Labeling Remote jobs? Cities with the most Image Labeling Remote job openings:
What are the most commonly searched types of Image Labeling jobs? The most popular types of Image Labeling jobs are:
What states have the most Image Labeling Remote jobs? States with the most job openings for Image Labeling Remote jobs include:
Infographic showing various Image Labeling Remote job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $29,053 per year, or $14 per hour.
Medical Imaging Specialist - AI Trainer

Medical Imaging Specialist - AI Trainer

Handshake

On-site, Remote

Full-time, Contractor

Posted 25 days ago


Job description

Opportunity Overview Handshake is looking for skilled 3D Slicer users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with medical image analysis, CT/MRI segmentation, or surgical planning to evaluate AI-generated content and provide feedback that helps AI better understand medical imaging tasks and clinical research workflows. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on. Who This Is For This is a good fit if you're an experienced 3D Slicer user who has worked in or around roles like:
  • Medical Imaging Specialist or Biomedical Engineer
  • Research Scientist or Neuroimaging Analyst
  • Radiologist or Medical Physicist
You should have solid experience with one or more of the following:
  • CT/MRI segmentation, medical image analysis, or surgical planning using 3D Slicer
  • DICOM workflows, neuroimaging analysis, or clinical research data pipelines
  • Annotating or labeling medical imaging datasets
  • Reviewing segmentation outputs for accuracy, anatomical consistency, or clinical relevance
What You'll Do You'll use your experience with 3D Slicer to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world medical imaging and biomedical research workflows. No prior AI or technical experience is required. Qualifications We're looking for people who have:
  • At least 1 year of hands-on experience with 3D Slicer, whether through professional work or research projects
  • A working knowledge of medical imaging concepts, DICOM standards, and clinical research workflows
  • Strong written communication skills and attention to detail
  • The ability to work independently and follow written guidelines
Application Process
  • Create a Handshake account
  • Upload your resume and submit your portfolio
  • Verify your identity
  • Get matched and onboarded into relevant projects
  • Start working and earning
Work Model and Project Details
  • Status: Independent contractor (not a full-time employee role)
  • Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computer
  • Schedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5-20 hours per week when assigned to an active project
  • Duration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become available
Work Authorization Must be currently residing in the United States. F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.