AI Data and Model Operations Manager Role
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A AI Data and Model Operations Manager Role is a software system operation manager role that is responsible for overseeing the annotation and model creation processes within AI and machine learning projects, ensuring compliance with Service Level Objectives (SLOs) and improving accuracy and throughput.
- Context:
- It can (typically) manage daily operations of annotation and model creation teams, ensuring smooth workflow and high productivity.
- It can (often) implement and maintain quality control measures to ensure data accuracy and model reliability.
- It can range from overseeing small teams of annotators to managing large, cross-functional teams including model developers.
- It can identify and address bottlenecks, implementing best practices to enhance efficiency.
- It can update senior management regularly and align objectives with other departments.
- It can develop and deliver training programs for team members, fostering continuous learning and development.
- It can ensure compliance with SLOs, monitoring and reporting key performance metrics.
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- Example(s):
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- Counter-Example(s):
- Project Managers who focus solely on software development without involvement in data annotation and model creation.
- Data Scientists who develop models but do not oversee the operational aspects of data annotation and model management.
- See: Machine Learning Operations (MLOps) Manager, Data Annotation Specialist, AI Model Development Lead, Quality Assurance Manager