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Entry Level Remote Image Segmentation Jobs (NOW HIRING)

Weekday AI

Computer Vision Expert

$80 - $110/hr

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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Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement ...

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Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement ...

Antech Diagnostics

$71K - $89K/yr

Field Based/ Remote The Target Pay Range for this position is $71,000 - $89,000 annually. At Antech ... Customize entry level Ultrasound products to suit customer needs (presets, annotations ...

Haha App

Social Media Manager

Austin/Miami/Remote About HaHa: HaHa App aims to bring crypto to the mainstream by lowering the ... You will assist us in cohesively managing our company image in order to achieve marketing goals.

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All Jobsremote JobsEntry Level Remote Image Segmentation Jobs

Entry Level Remote Image Segmentation information

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$13

$55

$78

How much do entry level remote image segmentation jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level remote image segmentation in the United States is $55.19, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $70.19 per hour, depending on experience, location, and employer.

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

AspectEntry Level Remote Image Segmentation
Credentials
Basic understanding of image processing, computer vision fundamentals, and possibly some familiarity with annotation tools
Work Environment
Remote, often collaborative with AI and tech companies, flexible hours
Industry Usage
Commonly used in AI, machine learning, autonomous vehicles, and medical imaging sectors
Comparison Summary
Entry Level Remote Image Segmentation involves detailed labeling of specific image regions, requiring knowledge of image analysis. Entry Level Remote Data Annotation is broader, covering various data types like text, images, and videos, often with less technical depth. Both roles are remote, entry-level, and essential for AI development, but Image Segmentation focuses on pixel-level image labeling, while Data Annotation encompasses a wider range of data labeling tasks.
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Cities with the most Entry Level 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 job categories do people searching Entry Level Remote Image Segmentation jobs look for?

The top searched job categories for Entry Level Remote Image Segmentation jobs are:

Entry Level Remote Image Segmentation jobs near you
Infographic showing various Entry Level Remote Image Segmentation job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 21% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $114,798 per year, or $55.2 per hour.

Computer Vision Expert

Weekday AI

Remote

$80 - $110/hr

Part-time

Posted 24 days ago

Job description

This role is for one of our clients
Compensation: $80-$110 per hour
Join a cutting-edge AI research initiative and help shape the next generation of frontier AI models. We are seeking experienced Computer Vision Experts to serve as subject matter experts, designing challenging real-world vision tasks, creating high-quality reference solutions, and evaluating AI model performance. Your work will directly improve AI systems by identifying reasoning gaps and advancing their capabilities across a wide range of computer vision applications.
This is a part-time, fully remote opportunity requiring approximately 20 hours per week.
Requirements
Key Responsibilities
  • Design challenging, real-world computer vision tasks across domains such as:
    • Object Detection
    • Image Segmentation
    • Object Recognition
    • Vision-Language & Multimodal Reasoning
    • Image and Video Generation
  • Develop high-quality reference solutions and integrate tasks into agentic development environments using Python.
  • Build executable evaluation components and testing frameworks where applicable.
  • Assess AI model outputs for accuracy, reasoning quality, and technical correctness.
  • Identify capability gaps, classify failure modes, and provide detailed written analyses of model behavior.
  • Develop evaluation guidelines and structured rubrics to ensure consistent and objective assessment.
  • Collaborate with fellow subject matter experts to maintain high-quality training data and evaluation standards.
Required Qualifications
  • Deep hands-on experience in Computer Vision through industry, research, or graduate/PhD-level work.
  • Strong proficiency in Python with practical experience developing computer vision applications.
  • Expertise in modern computer vision techniques, including deep learning architectures and model evaluation.
  • Hands-on experience with frameworks such as PyTorch, TensorFlow, or similar computer vision libraries.
  • Solid understanding of computer vision workflows, model training, evaluation metrics, and optimization techniques.
  • Ability to commit approximately 20 hours per week.
  • Excellent written communication skills and the ability to work independently in a remote environment.
Preferred Qualifications
  • Experience in AI model evaluation, AI training data development, or data annotation.
  • Familiarity with multimodal AI systems, vision-language models, or generative AI applications.
  • Experience developing evaluation pipelines, automated testing frameworks, or benchmarking tools.
  • Contributions to open-source computer vision projects or published research are a plus.
  • Experience with large-scale production computer vision systems.
Role Details
  • Employment Type: Independent Contractor
  • Work Arrangement: Fully Remote
  • Schedule: Approximately 20 hours per week
  • Project Duration: Based on project requirements and performance, with opportunities for extension
Equal Opportunity
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract & Payment Terms
  • You will be engaged as an independent contractor.
  • This is a fully remote role that can be completed on your own schedule.
  • Projects may be extended, shortened, or concluded early based on business needs and performance.
  • Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are made weekly via Stripe or Wise based on services rendered.
  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.

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