Annotate and label datasets for machine learning models focused on image recognition. Perform quality checks and collaborate on improving annotation guidelines to support AI development in computer vision applications.

Big Ideas DB is at the forefront of AI innovation, and we're hiring Hourly Weekly contributors to help build high-quality datasets for our image recognition projects. This role involves meticulously labeling images to train models that power applications in various industries, from autonomous vehicles to medical diagnostics.

What You'll Do:

• Review and annotate thousands of images with accurate labels, bounding boxes, and semantic tags.
• Follow detailed guidelines to ensure consistency and precision in data preparation.
• Flag ambiguous or erroneous data for review by the data science team.
• Participate in feedback sessions to refine annotation tools and processes.

This asynchronous work allows flexibility around your schedule, making it ideal for supplementing income while gaining hands-on experience in AI. Over the 3-month period, you'll contribute to datasets that directly impact model accuracy, learning about object detection algorithms and real-world AI challenges along the way.

No advanced degrees required—just attention to detail and a keen eye. We'll provide training on our proprietary annotation platform, which includes features like auto-suggest for efficiency. Your work will be quality-assured through random audits, ensuring it meets our standards.

This opportunity exposes you to the foundational aspects of ML pipelines, from data collection to model evaluation. It's a great entry point for those interested in AI careers, offering insights into how raw data transforms into intelligent systems. Join us to be part of the data backbone supporting cutting-edge technology.

• Basic computer skills and attention to detail
• Familiarity with image editing tools
• Python knowledge for scripting (preferred)
• Reliable internet connection

• Weekly payouts
• Flexible task scheduling
• Access to AI learning resources
• Performance-based bonuses