Contribute to Origin Trail's AI initiatives by annotating supply chain data. Help train models for predictive analytics in logistics and traceability.

Origin Trail is transforming global supply chains through decentralized knowledge graphs and AI-driven insights. In this Data Annotation role, you'll be part of our effort to refine machine learning models that enhance traceability and efficiency in industries like food and pharmaceuticals.

Your tasks will include labeling datasets with accurate tags for events, entities, and relationships, ensuring high-quality inputs for training. You'll use annotation tools to categorize data from IoT sensors and blockchain records, focusing on accuracy to minimize model biases.

Working asynchronously, you can fit tasks around your schedule, with weekly milestones to track progress. Our guidelines emphasize ethical annotation practices, and you'll receive training on domain-specific terminology.

This 4-month project offers a glimpse into AI applications in real-world supply chains, building your resume with practical ML experience. Expect feedback loops to improve your annotation skills over time.

Why This Matters: Clean data is the backbone of reliable AI, directly impacting decisions that affect global trade.

• Variety in tasks: From text to image annotations
• Impact: See how your work powers predictive tools
• Flexibility: Work from anywhere, anytime

Join us to contribute to a more transparent supply chain ecosystem.

• Attention to detail for accurate labeling
• Basic understanding of data formats
• Comfort with annotation software
• Reliable internet for uploading work

• Flexible hours suited to your availability
• Weekly payouts for completed tasks
• Access to AI ethics training materials
• Potential for ongoing projects