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Temporary 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 ...

Customer Service Representative - Help Desk (Temp)

VA · On-site +1

$17 - $21.75/hr

This is a temporary, time limited position . The projected start date is August 24, 2026 , with an ... and remote offices. - Install, configure, maintain, and support desktops, laptops, printers ...

This is a US-based, remote Temp role through the end of the year (2026) with an expected schedule of 40 hours per week. What you will do: * Own the creation and deployment of Braze segments and ...

Project a professional attitude and positive image. * Build sustainable relationships with internal ... Ability to effectively work in a remote contact center environment. * Strong data entry skills and ...

Project a professional attitude and positive image. * Build sustainable relationships with internal ... Ability to effectively work in a remote contact center environment. * Strong data entry skills and ...

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Temporary Remote Image Segmentation information

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$18

$43

$70

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

As of Aug 8, 2026, the average hourly pay for temporary 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 the difference between Temporary Remote Image Segmentation vs Image Annotation Specialist?

AspectTemporary Remote Image SegmentationImage Annotation Specialist
Primary FocusSegmenting images to identify specific regions or objectsLabeling and annotating images for training AI models
Skills & CertificationsImage processing, computer vision, basic codingData labeling, attention to detail, familiarity with annotation tools
Work EnvironmentRemote, project-based, often short-termRemote or on-site, project-based or ongoing
Industry UsageAI development, computer vision projectsMachine learning, AI training datasets

Temporary Remote Image Segmentation involves isolating specific regions within images for computer vision tasks, often requiring technical skills in image processing. In contrast, Image Annotation Specialists focus on labeling images to create training data for AI models. Both roles are remote, project-based, and essential in AI development, but they differ in technical complexity and specific tasks.

More about Temporary Remote Image Segmentation jobs
What cities are hiring for Temporary Remote Image Segmentation jobs? Cities with the most Temporary Remote Image Segmentation job openings:
What are the most commonly searched types of Temporary Image Segmentation jobs? The most popular types of Temporary Image Segmentation jobs are:
What states have the most Temporary Remote Image Segmentation jobs? States with the most job openings for Temporary Remote Image Segmentation jobs include:
What job categories do people searching Temporary Remote Image Segmentation jobs look for? The top searched job categories for Temporary Remote Image Segmentation jobs are:
Infographic showing various Temporary Remote Image Segmentation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $90,701 per year, or $43.6 per hour.

$80 - $110/hr

Part-time

Posted 10 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.