G2i Inc. - Computer Vision & ML Expert, AI
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Requirements
• 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, 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. • MS 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) • What You Don't Need • 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.
Responsibilities
• 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.
Benefits
• Hours: Minimum 15 hrs/week, up to 40+ hrs/week available — hours vary by project and are not guaranteed week to week • Hours: • Engagement: 1099 independent contractor • Engagement: • Payment: Weekly via PayPal or Stripe • Payment: • ⚠️ 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. • ⚠️ Important:
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