Computer Vision Expert

4 weeks, 2 days ago
Contract
Lead
Data Science and Analytics
Weekday

Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020

Description

  • Design challenging real-world computer vision tasks across object detection, image segmentation, object recognition, vision-language reasoning, and image/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.

Requirements

  • 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 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 (preferred).
  • Familiarity with multimodal AI systems, vision-language models, or generative AI applications (preferred).
  • Experience developing evaluation pipelines, automated testing frameworks, or benchmarking tools (preferred).
  • Contributions to open-source computer vision projects or published research are a plus.
  • Experience with large-scale production computer vision systems (preferred).
  • Unable to support H1-B or STEM OPT candidates at this time.

Benefits

  • Compensation of $80-$110 per hour.
  • Fully remote work arrangement.
  • Approximately 20 hours per week.
  • Independent contractor engagement.
  • Weekly payments via Stripe or Wise.
  • Project duration may be extended based on requirements and performance.
  • Reasonable accommodations available upon request.

Interested in this position?

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