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Manager Video Annotation Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

Video alone makes up 80% of internet traffic, and across modalities, data has become the enabling ... Source, onboard, and manage a distributed human workforce for data annotation, curation, and ...

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.

... 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 ...

... 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 ...

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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:

Data Operations Engineer

Abaka AI

Mountain View, CA • On-site

$136K - $163K/yr

Full-time

Posted 4 days ago


Job description

Job Summary:
Abaka AI is on a mission to be the world’s most trusted data partner for AI companies, serving over 1,000 industry leaders across various AI domains. The Data Operations Engineer will own and operate the internal dataset library, ensuring fast and scalable access to data while maintaining dataset quality and organization across the company.
Responsibilities:
• Develop and maintain a comprehensive understanding of Abaka AI’s dataset library, including data structure, quality, and applicable use cases across modalities (text, image, video, audio, 3D).
• Serve as the internal point of contact for dataset-related inquiries, providing clear and timely responses to questions from engineering, product, and business teams.
• Translate ambiguous or high-level requests into concrete dataset solutions, identifying appropriate data sources or gaps.
• Inspect and validate datasets for quality, completeness, and consistency using SQL, Python, or other tools as needed.
• Coordinate with global data teams, including teams in China, to resolve data issues, clarify requirements, and ensure timely delivery without unnecessary escalation.
• Maintain and improve internal documentation, organization, and accessibility of datasets.
• Identify inefficiencies in current workflows and propose improvements to systems, tooling, and processes that support dataset management and usage.
• Support cross-functional initiatives by providing dataset insights, technical context, and operational guidance.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.
• 1–4 years of experience in data operations, data engineering, or a related role involving direct interaction with datasets.
• Professional proficiency in Mandarin Chinese and English is required, as this role involves frequent collaboration with China-based vendors and external partners.
• Strong problem-solving skills and ability to operate effectively in ambiguous, fast-paced environments.
• Proficiency in SQL and/or Python for data inspection, validation, and basic analysis.
• Experience working with real-world datasets, including handling data quality issues, inconsistencies, and edge cases.
• Strong communication skills, with the ability to work across technical and non-technical teams.
• High level of ownership and accountability, with the ability to manage multiple requests and priorities simultaneously.
Preferred:
• Experience with multimodal datasets (text, image, video, audio, or 3D).
• Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning.
• Experience working with international teams, particularly in cross-border environments.
• Exposure to AI/ML workflows, including training, fine-tuning, or evaluation datasets.
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.