The job, in the employer's words
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.
Benefits mentioned
- 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 mentioned
- 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.
- 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.
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