ZipRecruiter

Log In

2

Remote Video Tagging Jobs in California (NOW HIRING)

Zignal Labs

Intelligence Pipeline Analyst

San Francisco, CA · On-site +1

$90K - $120K/yr

... tagging frameworks, geospatial filtering, and signal scoring methodologies * Drive continuous ... Support multimodal intelligence workflows integrating text, image, video, metadata, geospatial, and ...

All JobsVideo Tagging JobsRemote Video Tagging JobsRemote Video Tagging Jobs in California

Remote Video Tagging information

What is the difference between Remote Video Tagging vs Remote Data Labeling?

AspectRemote Video TaggingRemote Data Labeling
Primary FocusAnnotating objects, actions, and scenes in videosLabeling data across various formats, including images, text, and audio
Work EnvironmentRemote, often collaborative with video platformsRemote, diverse industries including image and text datasets
Required SkillsAttention to detail, familiarity with video content, basic annotation toolsAttention to detail, understanding of data types, annotation tools

Remote Video Tagging involves annotating objects and actions within videos, focusing on visual content. Remote Data Labeling covers a broader range of data types, including images, text, and audio. While both roles require attention to detail and familiarity with annotation tools, Remote Video Tagging is specialized for video content, whereas Remote Data Labeling encompasses multiple data formats across various industries.

What are the key skills and qualifications needed to thrive as a Remote Video Tagging Specialist, and why are they important?

To excel as a Remote Video Tagging Specialist, you need strong attention to detail, familiarity with video content, and a basic understanding of metadata and tagging conventions, often supported by a high school diploma or relevant experience. Proficiency in video editing or tagging software, content management systems, and sometimes basic spreadsheet tools is typically required. Excellent organizational skills, time management, and the ability to work independently are crucial soft skills for success in this role. These skills ensure accurate, consistent video categorization and efficient workflow, which are vital for content discoverability and operational effectiveness.

What are some common challenges faced in a remote video tagging role, and how can they be managed effectively?

One of the main challenges in remote video tagging is maintaining accuracy and consistency when labeling large volumes of video content. Distractions at home, ambiguous footage, or unclear project guidelines can make this task more difficult. To manage these issues, it's important to establish a quiet workspace, clarify tagging criteria with supervisors, and use any provided tools or templates to ensure consistent work. Regular communication with team members or project leads can also help resolve uncertainties quickly and maintain high-quality results.

What is remote video tagging?

Remote video tagging is the process of analyzing and labeling video content from a remote location, often for purposes such as content moderation, data annotation for machine learning, or enhancing searchability. Individuals working in remote video tagging watch videos and assign tags or metadata based on what they see, such as identifying objects, actions, scenes, or specific events. This work supports industries like media, advertising, research, and artificial intelligence by making video content more accessible and usable. The job is typically performed using specialized software and requires attention to detail and clear communication skills.
What are the most commonly searched types of Video Tagging jobs in California? The most popular types of Video Tagging jobs in California are:
What are popular job titles related to Remote Video Tagging jobs in California? For Remote Video Tagging jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Video Tagging jobs in California look for? The top searched job categories for Remote Video Tagging jobs in California are:
What cities in California are hiring for Remote Video Tagging jobs? Cities in California with the most Remote Video Tagging job openings:
Remote Video Tagging jobs near you
Infographic showing various Remote Video Tagging job openings in California as of July 2026, with employment types broken down into 88% Full Time, 8% Part Time, 1% Temporary, and 3% Contract. Highlights an 40% Physical, 3% Hybrid, and 57% Remote job distribution.
Intelligence Pipeline Analyst

Intelligence Pipeline Analyst

Zignal Labs

San Francisco, CA • On-site, Remote

$90K - $120K/yr

Full-time

Posted 19 days ago

Job description

About Zignal Labs
At Zignal Labs, we operate at the forefront of AI-powered media intelligence and operational data analytics, supporting some of the most mission-critical defense, intelligence, and commercial programs in the world.
We are seeking an Intelligence Pipeline Engineer to join our growing team. This role blends intelligence tradecraft, operational data engineering, AI-driven workflows, and real-time mission support.
This role is designed for professionals who can independently own operational intelligence workflows, drive pipeline optimization efforts, operationalize AI-enabled capabilities, and collaborate cross-functionally to support mission-critical operations.
Key Responsibilities
  • Design, configure, maintain, and optimize operational intelligence collection pipelines supporting real-time monitoring and alerting workflows
  • Independently build, curate, tune, and manage structured datasets, collection logic, enrichment workflows, and operational intelligence pipelines
  • Develop and refine advanced collection strategies using Boolean logic, heuristics, metadata enrichment, tagging frameworks, geospatial filtering, and signal scoring methodologies
  • Drive continuous improvements in signal quality, workflow efficiency, operational relevance, and data reliability
  • Deploy, evaluate, monitor, and optimize AI/ML and computer vision models supporting operational intelligence workflows
  • Develop, test, and refine LLM-driven workflows, prompt frameworks, and AI-assisted alerting systems
  • Support multimodal intelligence workflows integrating text, image, video, metadata, geospatial, and behavioral signals into actionable operational insights
  • Partner closely with Product, Engineering, Data Science, Customer Success, and mission stakeholders to operationalize new capabilities and improve workflows
  • Lead operational troubleshooting, pipeline hardening, workflow optimization, and issue resolution efforts
  • Identify emerging collection opportunities, platform shifts, operational risks, and regional digital ecosystem changes
  • Contribute to operational standards, workflow documentation, and best practices for intelligence pipeline engineering
  • Mentor junior team members supporting operational intelligence workflows
  • Uphold classification, security, legal, and ethical standards for government-facing operational environments

Required Qualifications
  • Active TS/SCI clearance preferred or ability to obtain and maintain one
  • 8+ years of experience supporting DoD, Intelligence Community, defense contractor, or related operational intelligence environments
  • Experience designing, operating, or optimizing intelligence collection workflows, operational monitoring pipelines, or AI-assisted analytical systems
  • Strong understanding of OSINT methodologies, operational collection strategies, and intelligence tradecraft
  • Advanced experience building and refining Boolean logic, heuristic filtering, operational tagging systems, or enrichment workflows
  • Familiarity with AI/ML concepts including NLP, clustering, anomaly detection, entity extraction, computer vision, or multimodal analysis
  • Ability to independently manage competing operational priorities in dynamic mission environments
  • Strong communication and cross-functional collaboration skills

Preferred Qualifications
  • Experience with Python, SQL, APIs, workflow orchestration, or scripting for operational automation and pipeline management
  • Experience supporting real-time operational monitoring and mission-critical alerting systems
  • Familiarity with AI-assisted analytical workflows, prompt engineering, or operational LLM integration
  • Experience collaborating with engineering or product teams to operationalize new capabilities
  • Experience mentoring analysts or engineers in operational intelligence environments
  • Familiarity with foreign social media ecosystems and globally distributed information environments relevant to defense missions

Why Join Zignal Labs?
At Zignal, you'll work at the forefront of AI-powered data intelligence, supporting some of the most mission-critical defense and intelligence programs in the world. You'll play a key role in how large-scale data is collected, refined, and deployed in support of national security and critical commercial environments.
Locations San Francisco, DC, NY Remote status Fully Remote Yearly salary $90,000 - $120,000 Employment type Full-time

Apply