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.
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 DoingHelp 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 NeedStrong 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, Vision Transformers, diffusion models, etc.)
Comfortable reading and understanding ML research papers
Solid understanding of data preprocessing, augmentation, and annotation best practices for visual data
Detail-oriented and systematic in evaluating model outputs
Clear, concise written communicator who can explain technical concepts effectively in English
Self-motivated and reliable when working independently
Identity verification: Applicants will be required to verify their identity and confirm they have valid documentation to work as an independent contractor in their country of residence.
Nice to HaveMS or PhD in Computer Science, Electrical Engineering, or a related field with a focus on CV or ML
Published research in top CV/ML venues (CVPR, ICCV, ECCV, NeurIPS, ICML, etc.)
Experience with 3D vision, video understanding, generative models, or multimodal AI
Familiarity with MLOps tools, experiment tracking, and model evaluation pipelines
Background in specialized domains such as medical imaging, remote sensing, robotics, or autonomous driving
Experience with annotation platforms and data quality workflows at scale
Proficiency in Python and scientific computing libraries (NumPy, OpenCV, scikit-learn)
No prior RLHF or AI training experience
Location: Fully remote — work from anywhere on the accepted locations list
Compensation: $30–$70/hr based on location and seniority. Note: the majority of projects run at around $30/hr — higher rates apply to senior profiles and specific project types
Hours: Minimum 15 hrs/week, up to 40+ hrs/week available — hours vary by project and are not guaranteed week to week
Engagement: 1099 independent contractor
Payment: Weekly via PayPal or Stripe
⚠️ Important: Hours are project-dependent and can vary week to week. We recommend keeping other work options open alongside this engagement rather than relying on it as your sole source of income.
