Data Labeling Team Manager

We help make autonomous technologies more efficient, safer, and accessible.

Helm.ai builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.

Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.

We are seeking a Data Labeling Team Manager with a sharp eye for detail and the ability to thrive in a high-intensity environment. The ideal candidate will have substantial experience in people management, labeling vendor management, and the ability to communicate effectively across various levels of the organization.

Responsbilities:

• Lead and manage a team of highly skilled data labeling managers, ensuring high standards of data accuracy and execution efficiency.
• Foster a culture of high performance and continuous improvement, setting clear goals and expectations, and providing regular performance feedback.
• Develop and maintain stringent quality control processes to ensure the utmost accuracy of labeled data.
• Strategically manage vendor relationships to ensure compliance with project specifications and timelines.
• Collaborate closely with AI research and development teams to refine data requirements and enhance labeling strategies that improve the training of machine learning models.
• Communicate complex data insights and project statuses clearly and effectively to both technical and non-technical stakeholders.
• Handle project timelines and deliverables, ensuring resource allocation aligns with company goals.

Requirements:

• Bachelor’s degree in Engineering, or related field.
• At least 3 years of management experience in a data-focused role within a technology-driven environment.
• Demonstrated ability to manage external vendors and large-scale projects.
• Exceptional leadership and communication skills, with a proven track record of motivating teams to achieve excellence.
• Strong understanding of data annotation and machine learning processes, with hands-on experience in labeling and quality control.
• Ability to work under pressure and manage multiple priorities effectively.
• Knowledge of using Jira, spreadsheets, and Google Docs.

• Competitive health insurance options
• 401K plan management
• Remote-friendly and flexible team culture
• Free lunch and fully-stocked kitchen in our South Bay office
• Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
• The opportunity to work on one of the most interesting, impactful problems of the decade