"labeling workflows" Jobs
18 open tech roles matching “labeling workflows”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, SQL, Python. Every listing is re-checked daily and closed roles are removed.
Showing 18 of 18 results
Lead and grow the Forward Deployed Engineering team at Labelbox, focusing on technical quality and customer needs in AI development.
Lead the successful delivery of complex customer programs in a high-impact AI environment at Labelbox.
Lead the support operations systems at Cursor, focusing on technical and operational improvements in a hands-on role.
Lead the development of AI-driven applications for risk and fraud management at a growing startup.
Lead a team of engineers to enhance data quality and automate workflows for autonomy development at Applied Intuition.
Lead materials operations to ensure accurate and efficient inventory management in a company focused on maritime autonomy.
Lead multi-week coding data initiatives for AI teams, coordinating skilled SWE Fellows and ensuring high-quality delivery.
Lead a team managing critical AI data projects at Handshake, ensuring high-quality delivery and operational excellence.
Lead large-scale human data programs that power frontier AI model training and evaluation in a high-ownership role.
Lead a hands-on engineering team focused on data and ML infrastructure for a robotics platform in a hybrid NYC environment.
Lead the data strategy at Crosby, an AI-native law firm, focusing on building systems and teams for data-driven decision-making.
Join Ashby as a Data Analytics Manager to lead a team of analysts in a fully remote, growth-stage environment.
Lead Udio’s relationships with artists and key stakeholders to enhance engagement on the Udio Artist Platform.
Lead the Quality team at Handshake to enhance AI output reliability and evaluation accuracy in a fast-growing AI data business.
Lead the Forward Deployed Engineering team at Snorkel AI to enhance data pipeline capabilities for AI projects.
Lead a team of applied ML scientists to develop fraud detection and identity verification models in a rapidly growing fintech company.
Lead a team managing critical AI data projects at Handshake, ensuring high-quality delivery and operational excellence.