Computer Vision & ML Expert, AI

G2i Inc. • Miami, FL

17h • Remote

About The Position

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. The end result is that the model learns to see, interpret, and reason about visual data the way a trained expert would.

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

Nice To Haves

• 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)

Responsibilities

• 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

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees