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Video Annotation Jobs in California (NOW HIRING)

VP of Engineering

San Francisco, CA · On-site

$212K - $273K/yr

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 ...

Experience with video understanding (temporal consistency, tracking, video segmentation) * Experience with foundation models for data annotation * Experience with MLOps tooling (Weights & Biases ...

Experience with video understanding (temporal consistency, tracking, video segmentation) * Experience with foundation models for data annotation * Experience with MLOps tooling (Weights & Biases ...

Experience with video understanding (temporal consistency, tracking, video segmentation) * Experience with foundation models for data annotation * Experience with MLOps tooling (Weights & Biases ...

... video experiences). * Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data. * Design ...

Experience with video understanding (temporal consistency, tracking, video segmentation) * Experience with foundation models for data annotation * Experience with MLOps tooling (Weights & Biases ...

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

Experience with embodied AI, video, or time-series data. * Familiarity with evaluation pipelines, active learning, or data-centric AI. * Exposure to annotation tooling such as Labelbox, Scale, CVAT ...

... annotation workflows to support continuous model improvement. * Explore model compression, inference acceleration, and serving optimizations to enable efficient real-time video processing at scale.

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Video Annotation information

What is a Video Annotation job?

A Video Annotation job involves labeling objects, activities, or events within videos to help train machine learning models. Annotators use specialized tools to draw bounding boxes, segment frames, or classify scenes to improve AI's ability to recognize visuals. This work is essential for applications like autonomous vehicles, facial recognition, and action recognition in AI systems.

What are the typical daily responsibilities of a Video Annotation specialist?

As a Video Annotation specialist, your daily tasks will generally involve watching video footage, identifying relevant objects or actions, and accurately labeling or tagging frames according to specific project guidelines. You may also review and validate annotations to ensure quality and consistency, collaborate with team members or project managers to clarify labeling instructions, and document any ambiguities or challenges encountered during annotation. Most roles are structured with clear targets or quotas for completed work, and you may work independently or as part of a larger team supporting AI development projects. The position requires strong concentration and the ability to handle repetitive tasks efficiently while maintaining high standards of accuracy.

What are the key skills and qualifications needed to thrive in the Video Annotation position, and why are they important?

To excel in Video Annotation, you need strong attention to detail, visual analysis skills, and familiarity with video processing concepts, often supported by a diploma or coursework in computer science or a related field. Knowledge of annotation tools such as CVAT, Labelbox, or VGG Image Annotator, and, in some cases, experience with basic scripting or data management platforms, is highly valued. Excellent focus, time management, and the ability to follow precise instructions help individuals stand out in this position. These abilities are crucial for ensuring the accuracy and quality of annotated video data, which directly impacts AI and machine learning model performance.

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 Video Annotation jobs in California? For Video Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Video Annotation jobs in California look for? The top searched job categories for Video Annotation jobs in California are:
What cities in California are hiring for Video Annotation jobs? Cities in California with the most Video Annotation job openings:
Infographic showing various Video Annotation job openings in California as of May 2026, with employment types broken down into 44% Full Time, 29% Part Time, and 27% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

VP of Engineering

Troveo AI Inc

San Francisco, CA • On-site

$212K - $273K/yr

Full-time

Posted 6 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.