Computer Vision Expert
About the role
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.
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.
Where you can work
This role is 100% remote, for applicants located in United States.
From Weekday's job posting, checked Oct 18, 2026.
The application
Just your details and CV.
From Weekday's apply page, checked Oct 18, 2026.
About Weekday
A recruiting company that staffs AI labs' expert training projects, most of them US contracts paying $60 to $160 an hour.
How it pays: Not stated on its postings, which describe independent contract work for the client; its other contract postings say pay goes out weekly through Stripe or Wise.
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