ZipRecruiter

Log In

1

Manager Video Annotation Jobs in California (NOW HIRING)

Sieve

Data Operations Lead

San Francisco, CA · On-site

... and manage a distributed human workforce for data annotation, curation, and quality review • ... Sieve supplies video data to frontier AI labs. Founded in 2022, the company is headquartered in San ...

Specter

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in ... Build and maintain internal tooling for labelers, including annotation interfaces, task pipelines ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... manage multiple requests and priorities simultaneously. Preferred : • Experience with multimodal datasets (text, image, video, audio, or 3D). • Familiarity with data annotation, labeling ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... manage multiple requests and priorities simultaneously. Preferred : • Experience with multimodal datasets (text, image, video, audio, or 3D). • Familiarity with data annotation, labeling ...

Dyna Robotics

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

... managing the operations team. • Build Data Lifecycle Observability • Define health metrics ... frameworks, annotation systems, or data strategy for machine learning products. • Experience ...

Dyna Robotics

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

... managing the operations team. • Build Data Lifecycle Observability • Define health metrics ... frameworks, annotation systems, or data strategy for machine learning products. • Experience ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... manage multiple requests and priorities simultaneously. Preferred : • Experience with multimodal datasets (text, image, video, audio, or 3D). • Familiarity with data annotation, labeling ...

next page

Showing results 1-20

All JobsVideo Annotation 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:

What job categories do people searching Manager Video Annotation jobs in California look for?

The top searched job categories for Manager Video Annotation jobs in California are:

What cities in California are hiring for Manager Video Annotation jobs?

Cities in California with the most Manager Video Annotation job openings:

Manager Video Annotation jobs near you

Data Engine & Annotation Systems Engineer

Simbe Robotics

San Francisco, CA

$120K - $155K/yr

Full-time

Posted 10 days ago

Job description

Simbe is building the AI powered operating system for physical retail. Our autonomous robots and multimodal computer vision platform turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers around the world. Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer focused product design to help retailers improve shelf availability, price and promo execution, inventory accuracy, and store team productivity.

Simbe is looking for a Data Engine & Annotation Systems Engineer to own the systems, workflows, and tooling that power high quality training data for our computer vision models. This role goes beyond annotation coordination. You will help build the data engine behind Simbe's AI platform: model assisted labeling, data quality checks, annotation guidelines, error mining, dataset versioning, active learning, and evaluation workflows that improve model performance and accelerate customer value.

Why This Role Is High Impact
  • You will help create the feedback loop that makes Simbe's AI systems better every week.
  • You will improve the quality, speed, and reliability of data used to train and evaluate production models.
  • You will work across human annotation, automation, model outputs, QA, and customer impact.
Responsibilities
  • Own annotation systems and workflows. Oversee and improve image and video annotation workflows, including task setup, guideline creation, quality control, edge case handling, and throughput monitoring.
  • Build data engine tooling. Develop Python, web, and automation tools that make it easier to request annotations, review results, clean data, export datasets, and evaluate model performance.
  • Improve data quality. Design checks that identify inconsistent labels, oversized or undersized boxes, missing annotations, duplicate data, class imbalance, and other issues that can degrade model performance.
  • Integrate model assisted workflows. Evaluate and integrate auto annotation, pre labeling, active learning, hard case mining, and model in the loop review systems to improve annotation efficiency.
  • Support dataset versioning and evaluation. Partner with CV engineers to maintain reliable datasets, evaluation splits, benchmark views, and release readiness workflows.
  • Coordinate across teams. Work with annotation teams, Computer Vision, Product, Customer Success, and Data teams to make sure annotation systems support current customer priorities and future product needs.
  • Measure and improve performance. Track annotation quality, turnaround time, capacity, cost, rework rates, and model impact to improve the operating system for data creation.
Required Qualifications
  • 3+ years of experience in software engineering, data tooling, ML data operations, annotation systems, data QA, or related technical work.
  • Strong Python skills, including experience building scripts, data workflows, APIs, or internal tools.
  • Comfort with Bash, Linux, Git, and production debugging workflows.
  • Experience with web frontend or full stack development for internal tools.
  • Strong communication skills and ability to create clear annotation guidelines, documentation, and process improvements.
  • High attention to detail and a strong understanding of how data quality affects model quality.
  • Ability to coordinate across technical and operational teams while still writing code and improving systems.
Bonus Qualifications
  • Experience with CVAT, FiftyOne, Labelbox, Scale, Roboflow, Supervisely, or similar annotation and dataset tools.
  • Experience with image, video, robotics, retail, autonomous vehicle, industrial inspection, or sensor data annotation.
  • Experience with active learning, auto labeling, synthetic data, evaluation dashboards, or dataset versioning.
  • Experience with object detection, segmentation, OCR, barcode localization, or other computer vision workflows.
  • Experience managing external annotation vendors or distributed annotation teams.
$120,000 - $155,000 a year

The base salary offered is based on market location and may vary depending on individualized factors for job candidates, including job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include equity compensation, in addition to a full range of medical, financial, and other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Simbe Values: R. E. T. A. I. L.

  • Result Driven - We are customer centric and results driven. We strive to create immense value for our team, partners, customers, and investors.

  • Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally.

  • Transparent - We value open communication internally, and with our partners and customers. We are receptive to feedback.

  • Agile - We are eager to learn and adapt quickly to changes and customer needs.

  • Innovative - We are bold and innovative, with an intense focus on product design, user experience, and customer value.

  • Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply