Senior ML Data Project Manager

TwelveLabs • San Francisco, CA

8d

About The Position

You will be a vital member of our ML Data Team – which leads the full spectrum of video-language data collection, labeling, and quality management. This role comes with high ownership and includes responsibilities such as defining dataset needs and requirements in consultation with our research and product teams; designing and building data pipelines; and coordinating with our vendor partners that execute at scale. You will also be responsible for automating as much of the repetitive partnership and annotation-quality-evaluation work as possible. A desire to work cross functionally and to build relationships is critical for success in this position.

Requirements

• 5+ years of experience working in an AI focused data operations organization.
• A proven track record designing and executing large scale data projects, including gathering, labeling, and post-processing data.
• The ability to analyze messy and complex data, identify overarching patterns, and distill your findings into crisp annotation guidelines or other accessible documentation.
• Proficiency with Python, LLMs, or other popular industry tools for automation.
• Excellent communication and project management skills, and the ability to support several projects simultaneously.
• A foundational understanding of and interest in LLMs/VLMs and multimodal AI.
• Conviction that data is the key ingredient for the performance of AI models.

Nice To Haves

• Experience working with third-party SDKs.
• Experience in data collection and labeling for multimodal language models.
• Experience working with research scientists and engineers.
• Experience collaborating with or managing internal annotators.
• Experience planning and operating new data tools and labeling systems.
• Expertise or interest in video-centric domains, such as sports, advertising, and content creation.

Responsibilities

• Project Management & Operations: Design and execute video-language data collection and labeling projects. Automate repetitive processes and maintain a balanced approach to efficiency and quality.
• External Partner Collaboration: Enhance project quality through seamless collaboration with vendors and outsourcing partners.
• Data Quality & Tooling Advancement: Establish labeling guidelines, monitor data quality, and improve tools and infrastructure to build a sustainable data operations framework.
• Portfolio Monitoring: Manage resource allocation and timelines, adjusting direction flexibly based on real-time information across all data streams in your product vertical.
• Internal Collaboration: Partner with Engineering and AI Model teams to align on top priority data needs, design tools such as analytical reports and dashboards, and clearly communicate project progress.

Benefits

• An open and inclusive culture and work environment.
• Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
• Full health, dental, and vision benefits.
• Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
• VISA support (such as H1B and OPT transfer for US employees).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees