Related skills
tensorflow pytorch jax diffusion models cnns๐ Description
- Evaluate AI outputs on image recognition, object detection, and segmentation
- Assess quality, accuracy, and robustness of CV model predictions
- Identify failure modes, edge cases, and biases in CV systems
- Create, review, and refine training data annotations for CV pipelines
- Write detailed technical evaluations and concrete improvements
- Work across diverse visual domains: natural, medical, autonomous, documents
๐ฏ Requirements
- Strong foundations in computer vision: detection, classification, segmentation, pose estimation
- Hands-on with PyTorch, TensorFlow, or JAX
- Familiarity with CV architectures: CNNs, Vision Transformers, diffusion models
- Comfortable reading and understanding ML research papers
- Data preprocessing, augmentation, and annotation best practices
- Clear, concise written communicator in English
๐ Benefits
- Fully remote โ work from anywhere within accepted locations
- Flexible hours: 15 to 40+ hrs per week
- 1099 independent contractor engagement
- Weekly payments via PayPal or Stripe
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest โ finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!