Data Operations & Annotations Manager

Role Overview:

As a Data Operations & Annotations Manager, you will be responsible for building and managing a small foundation data operations and annotation team, establishing processes dealing with a diverse set of data sources (e.g. images, text, floorplans, etc.), overseeing the data pipeline, annotation pipeline, and ensuring high-quality labeled data for AI/ML models. You will work closely with data scientists, engineers, and product managers as part of the R&D team to refine annotation guidelines, monitor performance, and implement process improvements.

This is a hands-on role at the intersection of research, data science, and operations — ideal for someone who thrives in fast-paced, cross-functional environments.

Key Responsibilities:

• Own and optimize the end-to-end data flow across internal systems and platforms.
• Build, manage, and mentor a team working across diverse data types: images, text, floorplans, and more.
• Define, refine, and enforce annotation guidelines and quality standards. 
• Monitor data quality metrics, accuracy, consistency, and edge case handling.
• Act as a player-coach: participate directly in annotation tasks while overseeing daily operations.
• Identify and recommend tools and technologies to optimize workflows.
• Collaborate with ML engineers and data scientists to optimize processes. 
• Identify and implement tools, technologies, and process improvements in close collaboration with ML engineers and data scientists to optimize end-to-end workflows.

Qualifications & Skills:

• 2+ years of experience managing annotation or data labeling operations, ideally in a startup environment.
• Excellent attention to detail, problem-solving skills, and ability to handle edge cases.
• Strong knowledge of data labeling and data operation processes for AI/ML, — including edge cases and ambiguity resolution.
• Familiarity with annotation tools (e.g., Labelbox, Scale AI, CVAT, Prodigy, or custom tools).
• Basic understanding of machine learning workflows and the impact of high-quality labeled data.
• Strong communication and leadership skills to manage a diverse annotation team.
• Ability to analyze and refine workflows for efficiency and scalability.
• Comfortable working in a fast-paced startup environment with evolving priorities.
  

Why Join Us??

• Be part of a fast-growing AI startup with cutting-edge projects.
• Lead and shape the data operations and annotations pipeline for high-impact AI models.
• Work in a collaborative and innovative environment with opportunities for growth.