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Remote Computer Vision Postdoc Jobs (NOW HIRING)

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 ...

Computer Vision Engineer

Cambridge, MA · On-site +1

$120K - $200K/yr

Computer Vision Engineer Computer Vision Engineer Remote in US Full-Time About the Opportunity We are a venture-backed technology company building AI-powered solutions that bring real-time ...

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D ... Experience with high-res aerial/remote sensing imagery and LiDAR * Experience with self-supervised ...

Computer Vision Engineer

$114K - $134K/yr

We're hiring a hands-on Computer Vision Engineer to build and improve sports video intelligence ... Remote working environment * Generous paid holiday schedule - 13 in total including Monday after ...

Computer Vision MLE Type: Contract Compensation: $135/hour Location ... Remote Duration: 3-4 weeks Commitment: 20+ hours/week Role Responsibilities * Benchmark baseline ...

AI/ML Engineer - Computer Vision

Cambridge, MA · On-site +1

$120K - $165K/yr

AI/ML Engineer - Computer Vision AI/ML Engineer - Computer Vision Remote in US Full-Time About the Opportunity We are a venture-backed technology company building AI-powered solutions that bring real ...

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma ...

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Remote Computer Vision Postdoc information

What are some common challenges faced by remote Computer Vision Postdocs, and how can they be addressed?

Remote Computer Vision Postdocs often encounter challenges related to collaboration and access to computational resources. Since much of the work involves large datasets and high-performance computing, ensuring secure and efficient remote access to servers and data is crucial. Effective communication with mentors and team members, often across different time zones, requires proficiency with collaboration tools and proactive scheduling. To address these challenges, it can be helpful to establish regular check-ins, document workflows clearly, and leverage cloud-based platforms for data processing and code sharing.

What is a Remote Computer Vision Postdoc?

A Remote Computer Vision Postdoc is a research position for individuals who have recently completed their Ph.D. and are specializing in the field of computer vision, all while working remotely. These postdoctoral researchers typically conduct advanced studies on topics such as image recognition, object detection, and machine learning algorithms, often collaborating with academic institutions or industry labs. The remote aspect allows for flexible work locations, making it possible to join international teams and contribute to projects from anywhere in the world. This role often emphasizes publishing research, developing prototypes, and contributing to open-source projects.

What are the key skills and qualifications needed to thrive as a Remote Computer Vision Postdoc, and why are they important?

To thrive as a Remote Computer Vision Postdoc, you need a solid background in computer vision, machine learning, and programming, typically supported by a PhD in computer science or a related field. Proficiency with deep learning frameworks (such as TensorFlow or PyTorch), coding languages like Python or C++, and experience with large-scale data processing are essential. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in collaborative, research-driven environments. These competencies ensure you can independently advance research objectives, contribute innovative solutions, and work efficiently with distributed teams.
More about Remote Computer Vision Postdoc jobs
What cities are hiring for Remote Computer Vision Postdoc jobs? Cities with the most Remote Computer Vision Postdoc job openings:
What are the most commonly searched types of Computer Vision Postdoc jobs? The most popular types of Computer Vision Postdoc jobs are:
What states have the most Remote Computer Vision Postdoc jobs? States with the most job openings for Remote Computer Vision Postdoc jobs include:
Infographic showing various Remote Computer Vision Postdoc job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

$80 - $110/hr

Part-time

Posted 4 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.