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Annotation Program Manager Jobs (NOW HIRING)

Technical Program Manager

San Francisco, CA

$152K - $196K/yr

... to annotation to delivery. We design and create datasets from scratch, recruit and manage the ... Track record managing complex, multi-stakeholder enterprise programs * Metrics-driven: owns and ...

... annotation programs that balance accuracy and speed while maintaining quality standards. You will ... Prior experience managing a data operations team. Minimum Qualifications MS in Computer Science ...

Senior Program Manager, R&D

Milpitas, CA · On-site

$135K - $135K/yr

Project/Program Management Group Job Sub Function: R&D Project Management Job Category ... annotation, model training/validation, MLOps, edge/cloud deployment, and clinical validation.

Senior Program Manager, R&D

Milpitas, CA · On-site

$135K - $135K/yr

Project/Program Management Group Job Sub Function: R&D Project Management Job Category ... annotation, model training/validation, MLOps, edge/cloud deployment, and clinical validation.

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Annotation Program Manager information

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$38.5K

$107.5K

$157K

How much do annotation program manager jobs pay per year?

As of Jul 7, 2026, the average yearly pay for annotation program manager in the United States is $107,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $132,500.00 per year, depending on experience, location, and employer.
Operations Program Manager (Computer Vision), Public Sector

Operations Program Manager (Computer Vision), Public Sector

Scale AI

Washington, DC • On-site

Full-time

Posted 24 days ago


Job description

Job Summary:
Scale AI is a company focused on developing reliable AI systems for critical decision-making, particularly within the Public Sector. They are seeking a Public Sector Operations Program Manager to oversee multiple projects on the Computer Vision team, driving operational efficiencies and ensuring high-quality data delivery for AI applications in national security contexts.
Responsibilities:
• Design and lead cross-functional initiatives with engineering, product, analytics, and delivery teams (as well as relevant geospatial experts) to achieve project outcomes
• Innovate on complex computer vision workflows and evaluation of data quality
• Communicate and own the execution of multiple data annotation workflows across diverse data types (geospatial imagery, video, etc)
• Optimize data annotation workflows with systems analysis to improve data quality and throughput with a goal achieving optimized machine learning outcomes
• Outline and deliver on data-driven operational efficiencies on these workflows to achieve business outcomes
• Partner with an engagement managers to communicate with and shape outcomes for Scale’s Public Sector customers
Qualifications:
Required:
• 5+ years of experience in a general manager / program manager position or a similar leadership role in operations
• The ability to regularly work onsite in both unclassified and secure facilities in either downtown Saint Louis, MO or the Washington D.C. area
• An analytical, automation-focused mindset, able to analyze provable and traceable data to develop robust, flexible integrations and workflows with metrics-led results
• Experience working in a fast-paced environment
• Low ego and a proven pattern of sharing wins with your team
• A history of successful project management and comfort in ambiguity
• Willingness to travel up to 25% of the time based on customer + mission needs
Preferred:
• An active TS-SCI security clearance
• A technical background (education or professional experience with economics, statistics, computer science, or engineering)
• Experience working in and / or with the U.S. government
• A deep understanding of ML operations for Computer Vision and Generative AI workflows / products
• MBA or relevant technical degree
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.