Data Operations & Annotations Manager

Job Description

BeamUP, trusted by Fortune 10 companies and global enterprises, is seeking a Data Operations & Annotations Manager to build and manage a small foundation data operations and annotation team. The ideal candidate will establish processes dealing with diverse data sources, oversee the data and annotation pipelines, and ensure high-quality labeled data for AI/ML models. This role requires close collaboration with data scientists, engineers, and product managers within the R&D team to refine annotation guidelines, monitor performance, and implement process improvements.

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

Role involves:

• Owning and optimizing the end-to-end data flow across internal systems and platforms.
• Building, managing, and mentoring a team working across diverse data types: images, text, floorplans, and more.
• Defining, refining, and enforcing annotation guidelines and quality standards.
• Monitoring data quality metrics, accuracy, consistency, and edge case handling.
• Participating directly in annotation tasks while overseeing daily operations.
• Identifying and recommending tools and technologies to optimize workflows.
• Collaborating with ML engineers and data scientists to optimize processes.
• Identifying and implementing tools, technologies, and process improvements in close collaboration with ML engineers and data scientists to optimize end-to-end workflows.

Requirements:

• 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.

BeamUP offers:

• Opportunity to be part of a fast-growing AI startup with cutting-edge projects.
• Opportunity to lead and shape the data operations and annotations pipeline for high-impact AI models.
• A collaborative and innovative environment with opportunities for growth.