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Manager Video Annotation Jobs in California (NOW HIRING)

Troveo AI Inc

VP of Engineering

San Francisco, CA · On-site

$212K - $273K/yr

Our systems span video ingestion, annotation and labeling pipelines, metadata enrichment, and data ... and engineering managers. * Establish clear ownership, accountability, and decision-making ...

Mill

AI Engineer, Computer Vision

San Bruno, CA · On-site

Build and manage the end-to-end ML training pipeline: data ingestion from deployed kitchen units ... video segmentation) * Experience with foundation models for data annotation * Experience with MLOps ...

Mill

AI Engineer, Computer Vision

San Bruno, CA · On-site

Build and manage the end-to-end ML training pipeline: data ingestion from deployed kitchen units ... video segmentation) * Experience with foundation models for data annotation * Experience with MLOps ...

Mill

AI Engineer, Computer Vision

San Bruno, CA

Build and manage the end-to-end ML training pipeline: data ingestion from deployed kitchen units ... video segmentation) * Experience with foundation models for data annotation * Experience with MLOps ...

Mill

AI Engineer, Computer Vision

San Bruno, CA · On-site

Build and manage the end-to-end ML training pipeline: data ingestion from deployed kitchen units ... video segmentation) * Experience with foundation models for data annotation * Experience with MLOps ...

DYNA Robotics Inc

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

This is a senior individual contributor role that focuses on strategy rather than managing ... Exposure to annotation tooling such as Labelbox, Scale, CVAT, Encord, or Voxel51.

Voxelcloud

Chief Technology Officer

Los Angeles, CA · On-site

... and video. VoxelCloud's offerings help healthcare providers make better/earlier diagnoses and ... o Manage and make ongoing improvements to our data annotation platform and process to support ...

Voxelcloud

Chief Technology Officer

Los Angeles, CA · On-site

... and video. VoxelCloud's offerings help healthcare providers make better/earlier diagnoses and ... o Manage and make ongoing improvements to our data annotation platform and process to support ...

Apple

ML Safety Engineer

San Francisco, CA · On-site

Apple Services Engineering (ASE) powers many AI features across App Store, Music, Video and more ... You will work cross-functionally with Engineering and Project Managers, Product, and Governance ...

Instagram

Lead, Product Content Engineering

San Francisco, CA · On-site

$196K - $203K/yr

They are seeking a Lead for Product Content Engineering to manage a team, define strategies for ... with video creators, ranking systems, content strategy • 3+ years of professional experience in ...

Apple

ML Safety Engineer

San Francisco, CA

$181K - $272K/yr

Apple Services Engineering (ASE) powers many AI features across App Store, Music, Video and more ... You will work cross-functionally with Engineering and Project Managers, Product, and Governance ...

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All JobsManager Video Annotation JobsManager Video Annotation Jobs in California

Manager Video Annotation information

What is the difference between Manager Video Annotation vs Data Labeling Specialist?

AspectManager Video AnnotationData Labeling Specialist
CredentialsTypically requires experience in project management, familiarity with annotation tools, and sometimes a degree in related fieldsOften requires attention to detail, familiarity with labeling software, and basic technical skills
Work EnvironmentLeads teams, manages projects, and oversees annotation workflowsPerforms labeling tasks, often working independently or in small teams
Industry UsageCommon in AI/ML companies, tech firms, and research institutionsUsed across similar industries for preparing training data for machine learning models

The main difference is that a Manager Video Annotation oversees annotation projects and manages teams, while a Data Labeling Specialist focuses on executing labeling tasks. Managers handle planning and quality control, whereas specialists perform the detailed annotation work.

What are the most commonly searched types of Video Annotation jobs in California? The most popular types of Video Annotation jobs in California are:
What are popular job titles related to Manager Video Annotation jobs in California? For Manager Video Annotation jobs in California, the most frequently searched job titles are:
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Manager Video Annotation jobs near you

VP of Engineering

Troveo AI Inc

San Francisco, CA • On-site

$212K - $273K/yr

Full-time

Posted 28 days ago

Job description

About Troveo
Troveo is building the next-generation data platform to train AI video models. We offer the world's largest library of AI video training data, offering millions of hours of licensed, training-ready content. Our end-to-end data pipeline connects creators, rights holders, and AI research labs, enabling scalable, compliant, and innovative uses of video for AI applications and model development.
We are an early-stage, high-growth venture backed by forward-thinking investors, and we're seeking a VP of Engineering to lead Troveo's technical direction and lead the engineering organization through its next phase of growth.
Role Summary
Engineering is central to this mission. Our systems span video ingestion, annotation and labeling pipelines, metadata enrichment, and data delivery, all designed to support high-volume, ML-driven use cases. This is a strategic leadership role for someone who has built and scaled complex, data-centric platforms and understands how machine learning teams actually use data in production.
You will define the architectural and organizational blueprint for Troveo's engineering function, build and mentor senior leaders, and ensure that the platform evolves in a way that supports both near-term execution and long-term scalability. While this is not a day-to-day coding role, the VP of Engineering is expected to remain technically engaged and be able to dive into architecture, review critical designs, and partner closely with teams on the most complex technical decisions.
This role reports directly to the CEO and is a core member of Troveo's leadership team.
Technical Strategy & Platform Ownership
  • Define and own Troveo's engineering and infrastructure strategy, with a strong focus on machine learning enablement, large-scale data pipelines, and annotation workflows.
  • Set architectural direction across backend systems, data infrastructure, and platform tooling, ensuring scalability, reliability, and data integrity.
  • Guide long-term technical investments while making pragmatic trade-offs to support near-term product and commercial needs.

AI, Data, and Machine Learning Enablement
  • Ensure Troveo's platform is built to serve ML practitioners, with attention to how datasets are ingested, labeled, versioned, and delivered.
  • Oversee the systems that support human-in-the-loop labeling, automation, and quality control at scale.
  • Partner with product leadership to align data and ML capabilities with customer needs and evolving AI use cases.

Organizational Leadership
  • Build, lead, and develop a high-performing engineering organization, including senior engineers and engineering managers.
  • Establish clear ownership, accountability, and decision-making structures as the team scales.
  • Create a culture that values thoughtful engineering, operational discipline, and continuous improvement.

Execution & Technical Judgment
  • Stay close enough to the work to identify risk, unblock teams, and guide complex technical decisions when needed.
  • Review and challenge system designs, architectural proposals, and key technical assumptions.
  • Ensure engineering execution is predictable, well-prioritized, and aligned with company objectives.

Cross-Functional Leadership
  • Work closely with product, legal, and go-to-market teams to ensure engineering efforts support Troveo's broader strategy.
  • Represent engineering perspectives at the executive level and help translate technical trade-offs into business context.
  • Support customer, partner, and investor conversations where technical depth and credibility matter.

Required Qualifications
  • 10+ years of experience in software engineering, including significant time in senior leadership roles.
  • Proven experience leading teams that build and operate data-intensive platforms, ideally supporting ML or analytics workflows.
  • Demonstrated ability to scale engineering organizations while maintaining technical quality and velocity.
  • Strong understanding of distributed systems, data pipelines, and cloud-based infrastructure.
  • Practical familiarity with machine learning workflows, particularly around data preparation, labeling, and iteration.
  • Comfortable engaging deeply in architecture and design discussions without micromanaging execution.

Why Join Troveo?
  • Shape the strategy and operating model of a high-growth venture-backed startup at the intersection of media and AI.
  • A collaborative environment with a talented, diverse team of subject matter experts.
  • Competitive compensation package with equity upside and benefits.

Apply