Computer Vision & ML Expert, AI

Before applying

This role is open to contractors in accepted locations only. Please confirm your country is on the list before applying — we're unable to process applications from unlisted locations. List of accepted countries and locations. https://docs.google.com/document/d/1FK0v1X3O3rqY0oB2k5xt0u5eiYaoYYKv_E4XS3kHXUs/edit?tab=t.0#heading=h.8jwvoue7ks7z

For US applicants

This is a 1099 independent contractor role. It is not compatible with F-1 OPT, STEM OPT, or any visa status that requires W-2 employment, guaranteed hours, or employer sponsorship.

We are unable to provide offer letters or employment verification for this role.

WHAT YOU'LL BE DOING

Help train and evaluate AI models that perceive, interpret, and understand the visual world — from image recognition and object detection to segmentation and visual reasoning:

- Evaluate AI-generated outputs on image recognition, object detection, segmentation, and visual reasoning tasks

- Assess the quality, accuracy, and robustness of computer vision model predictions

- Identify failure modes, edge cases, and biases in visual AI systems

- Create, review, and refine training data annotations for CV pipelines

- Write detailed technical evaluations and suggest concrete improvements

- Work across diverse visual domains — natural images, medical imaging, autonomous systems, document understanding

End result: the model learns to see, interpret, and reason about visual data the way a trained expert would.

RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that feedback into reward signals → reinforcement learning tunes the model toward code you'd actually ship.

WHAT YOU'LL NEED

- Strong foundational knowledge of computer vision — object detection, image classification, semantic segmentation, pose estimation, or related areas

- Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX

- Familiarity with common CV architectures (CNNs, Vi...