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Video Logger Jobs in California (NOW HIRING)

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$110K - $152K/yr

... video ingestion, indexing, and storage. • Maintain MLOps workflows for versioning, experiment tracking, reproducibility, and CI/CD. • Ensure reliability and observability with monitoring, logging ...

JAMS, Inc.

Client Experience Coordinator

San Jose, CA · On-site

$52K - $68K/yr

Coordinates hybrid hearings (e.g., logging conference rooms, panelists and clients into online ... Preferred * 2-3 years of working with Information Technology, audio, video, and video conferencing.

JAMS, Inc.

Client Experience Coordinator

Los Angeles, CA · Hybrid

$19.50 - $25.25/hr

Coordinates hybrid hearings (e.g., logging conference rooms, panelists and clients into online ... Preferred * 2-3 years of working with Information Technology, audio, video, and video conferencing.

JAMS, Inc.

Client Experience Coordinator

San Jose, CA · On-site

$52K - $68K/yr

Coordinates hybrid hearings (e.g., logging conference rooms, panelists and clients into online ... Preferred * 2-3 years of working with Information Technology, audio, video, and video conferencing.

Securitas

Security Guard

Palo Alto, CA · On-site

$30.60/hr

... Archival video review • Answering phones; operate IP based telephone system • Radio Dispatch; use multi-channel communications • Radio and call logging • Incident Report information ...

Securitas

Security Officer - Sunnyvale, CA

San Jose, CA · On-site

$30.60/hr

... Archival video review • Answering phones; operate IP based telephone system • Radio Dispatch; use multi-channel communications • Radio and call logging • Incident Report information ...

Securitas

SOC Operator

San Jose, CA · On-site

$30.60/hr

... Archival video review • Answering phones; operate IP based telephone system • Radio Dispatch; use multi-channel communications • Radio and call logging • Incident Report information ...

Securitas

Security Guard

San Jose, CA · On-site

$30.60/hr

... Archival video review • Answering phones; operate IP based telephone system • Radio Dispatch; use multi-channel communications • Radio and call logging • Incident Report information ...

Securitas

Security Guard

San Jose, CA · On-site

$30.60/hr

... Archival video review • Answering phones; operate IP based telephone system • Radio Dispatch; use multi-channel communications • Radio and call logging • Incident Report information ...

Securitas

Security Officer

San Jose, CA · On-site

$30.60/hr

... Archival video review • Answering phones; operate IP based telephone system • Radio Dispatch; use multi-channel communications • Radio and call logging • Incident Report information ...

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Showing results 21-40

All JobsVideo Logger JobsVideo Logger Jobs in California

Video Logger information

See California salary details

$30.1K

$87.1K

$137.7K

How much do video logger jobs pay per year?

As of Aug 6, 2026, the average yearly pay for video logger in California is $87,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $107,100.00 per year, depending on experience, location, and employer.

What is a video logger?

A Video Logger is responsible for reviewing, organizing, and annotating raw video footage to assist editors and producers in post-production. They log key details such as timestamps, descriptions, dialogue, and relevant metadata to streamline the editing process. Video Loggers often work in television, film, sports, or news industries, ensuring footage is easily searchable and accessible. This role requires strong attention to detail, familiarity with media management software, and an ability to work efficiently under deadlines.

What are the typical daily responsibilities of a video logger?

As a Video Logger, your day-to-day tasks usually include viewing raw footage, identifying and marking key moments, adding descriptive metadata, and organizing video content for editors and producers. You may also be responsible for ensuring footage is accurately cataloged in content management systems and communicating with team members to clarify content or labeling conventions. Deadlines can be tight, especially for live or quick-turnaround projects, so the ability to focus and work efficiently is important. This role provides valuable exposure to the video production process and often serves as a stepping stone to more advanced media positions.

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

A successful Video Logger possesses keen attention to detail, strong organizational skills, and a basic understanding of video production, often supported by a background in media, communications, or a related field. Familiarity with non-linear editing software such as Avid Media Composer or Adobe Premiere, logging databases, and media asset management systems is typically required. Excellent time management, teamwork, and clear communication are essential soft skills for collaborating with editors and producers. These competencies ensure efficient and accurate video tagging, smooth workflow integration, and high-quality content delivery in fast-paced media environments.

What are popular job titles related to Video Logger jobs in California? For Video Logger jobs in California, the most frequently searched job titles are:
What job categories do people searching Video Logger jobs in California look for? The top searched job categories for Video Logger jobs in California are:
What cities in California are hiring for Video Logger jobs? Cities in California with the most Video Logger job openings:
Video Logger jobs near you
Infographic showing various Video Logger job openings in California as of July 2026, with employment types broken down into 72% Full Time, 11% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $87,147 per year, or $41.9 per hour.

Senior Machine Learning Platform Engineer

FieldAI

Irvine, CA • On-site

$110K - $152K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. The Senior Machine Learning Platform Engineer will design and manage scalable ML infrastructure, develop cloud-based pipelines, and ensure the reliability of MLOps workflows while mentoring junior engineers.
Responsibilities:
• Design and manage scalable ML infrastructure with IaC tools (Terraform, CloudFormation).
• Develop and optimize cloud-based pipelines for training, evaluation, and inference on multimodal datasets.
• Build and operate data systems for large-scale video ingestion, indexing, and storage.
• Maintain MLOps workflows for versioning, experiment tracking, reproducibility, and CI/CD.
• Ensure reliability and observability with monitoring, logging, and alerting.
• Collaborate with AI/ML Engineers to productionize workflows.
• Optimize infrastructure for performance and cost across cloud and edge.
• Enforce best practices in security, compliance, and maintainability.
• Mentor and manage junior engineers, providing technical guidance and career development.
Qualifications:
Required:
• Bachelor’s/Master’s in Computer Science, Engineering, or related field (or equivalent experience).
• 4+ years of industry experience in ML infrastructure or platform engineering.
• Strong coding skills in Python/TypeScript and a strong foundation in software engineering best practices.
• Proven experience with distributed systems, cloud platforms (AWS preferred), containerization and orchestration (Docker, Kubernetes/EKS, Ray), and serverless.
• Hands-on experience building ML pipelines for distributed training and large-scale inference.
• Strong knowledge of data management at scale, including preprocessing and retrieval of video/image datasets.
• Proficiency with CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), and automation.
• Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).
• Experience with system monitoring and observability in production.
Preferred:
• Experience with vector databases (OpenSearch, Pinecone, Weaviate) for indexing and retrieval.
• Familiarity with distributed training frameworks (Horovod, DDP/FSDP, DeepSpeed, Ray).
• Hands-on experience with GPU orchestration and auto-scaling (Karpenter, SageMaker, EKS).
• Experience with agentic AI deployment workflows, orchestration frameworks, and retrieval-augmented generation.
• Strong knowledge of security and compliance in ML and cloud environments.
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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