Data Operations Lead

📋 Description

• Translate research needs into clear data specs and labeling workflows.
• Oversee data acquisition lifecycle, ensuring on-time delivery and QA.
• Direct in-house and external labeling teams; set guidelines and QC.
• Improve tooling and processes; hire and develop labeling staff.

🎯 Requirements

• Experience in data ops with data collection and labeling.
• Manage in-house and third-party labeling teams.
• Excellent communication with researchers and vendors.
• Ability to design scalable data workflows and tooling.
• Interest in audio AI and high-quality data.

🎁 Benefits

• High-growth AI startup backed by top investors.
• Ownership and autonomy on projects.
• Salary + equity in a fast-moving startup.
• Comprehensive healthcare, dental, vision.
• Collaborative team of engineers and builders.