AI Trainer - Remote

Overview

This role is perfect for those who have already worked in data labeling or AI training projects and want to take part in building the foundation that intelligent systems learn from. You’ll help ensure that large-scale AI models are trained with accurate, thoughtful, and high-quality visual data.

In Short

• Label and verify image and video datasets according to provided taxonomy and guidelines.
• Review AI-generated annotations for accuracy, consistency, and completeness.
• Provide feedback on labeling edge cases and improve labeling standards.
• Collaborate asynchronously with a global QA and model-training team.
• Work independently with precision and accountability.

Requirements

• Prior experience in data labeling, annotation, or model training projects (image, video, or multimodal preferred).
• Strong attention to detail and ability to follow complex labeling instructions.
• Fluent in English with solid communication and documentation skills.
• Comfortable with repetitive but high-accuracy work and tight feedback loops.
• Reliable internet connection and ability to meet consistent throughput goals.

Benefits

• Contribute to real AI model development used by frontier labs.
• Gain experience in one of the most critical — and fast-growing — parts of the AI ecosystem.
• Work directly with teams at the edge of applied AI research.
• Opportunity for repeat projects and long-term collaboration with Embedding VC’s portfolio.