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Home Based Data Annotation Jobs in California (NOW HIRING)

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Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $400K/yr

Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and ... Experience building data annotation and dataset management tools. The US base salary range for this ...

Cerebras

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255 - $325/hr

About Turing Based in San Francisco, California, Turing is the world's leading research accelerator ... Design and oversee tools or scripts for data validation, annotation accuracy checks, and pipeline ...

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All JobsHome Based Data Annotation JobsHome Based Data Annotation Jobs in California

Home Based Data Annotation information

Can you do data annotation from home?

Home-based data annotation jobs are common and typically involve labeling data such as images, text, or audio using specialized tools. These roles often require a reliable internet connection, attention to detail, and sometimes specific training or guidelines, making remote work feasible for qualified candidates.

What is the difference between Home Based Data Annotation vs Data Labeler?

AspectHome Based Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailSimilar; no formal certifications typically required
Work EnvironmentRemote, home-basedRemote or in-office, depending on employer
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job TasksAnnotating data for training AI modelsLabeling data for AI training

Both roles involve labeling data for AI systems, often working remotely. Home Based Data Annotation emphasizes working from home with flexible hours, while Data Labeler may work in various environments. Both positions are essential in AI development and share similar skills and industry usage.

How much do home based data annotation jobs pay?

Home-based data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the tasks and the employer. Some positions may offer per-task payments or project-based rates, with experienced annotators earning higher wages. These jobs often require attention to detail and familiarity with annotation tools or platforms.

What are the most commonly searched types of Data Annotation jobs in California?

The most popular types of Data Annotation jobs in California are:

What are popular job titles related to Home Based Data Annotation jobs in California?

For Home Based Data Annotation jobs in California, the most frequently searched job titles are:

What job categories do people searching Home Based Data Annotation jobs in California look for?

The top searched job categories for Home Based Data Annotation jobs in California are:

What cities in California are hiring for Home Based Data Annotation jobs?

Cities in California with the most Home Based Data Annotation job openings:

Home Based Data Annotation jobs near you

Strategic Projects Lead - Audio Data

Success Matcher Recruitment

Redwood City, CA • Hybrid

$140K - $160K/yr

Full-time

Posted 29 days ago

Job description

About the Company

Our client is building the foundational data and benchmark infrastructure for next-generation Voice AI, helping frontier AI labs train models to understand humanity across every language, dialect, and accent.

Backed by Y Combinator and over $3.5M in seed funding from top-tier Silicon Valley investors (including surgepoint, Amino Capital, and co-founders of Twitch and Cruise), they operate as a lean, elite team of ~10 scaling rapidly in the Bay Area.

About the Role

As the Strategic Projects Lead - Audio Data, you will own and deliver high-priority audio data collection projects end-to-end. In this high-ownership, ground-floor role, you will be the single-threaded owner of large-scale, six-figure+ contracts, driving messy and complex projects from customer kickoff through to final, high-quality delivery.

What You Will Do

  • Project Delivery: Manage complex audio data collection projects, overseeing contributor sourcing, engagement, quality assurance, and client communication.
  • Quantitative Operations: Track project progress and KPIs quantitatively. You will build dashboards, analyze throughput/quality data, and proactively solve operational bottlenecks.
  • Client Interface: Work directly with leading frontier AI labs to clarify requirements, deliver progress updates, and iterate based on their feedback.
  • Product Collaboration: Propose and drive technical and product changes with the engineering team to improve platform capabilities, contributor workflows, and QA tooling.
  • Resource Management: Hire and manage external QA resources as needed, collaborating directly with the co-founders and engineers to unblock delivery.

What You Bring

  • Experience: 2 to 7 years of data operations experience specifically on the supply side at a data annotation/labeling vendor company (e.g., Scale AI, Surge AI, Appen, Micro1, TELUS Digital, DataAnnotation, or a similar AI data startup).
  • Track Record: Proven success delivering six-figure+ data collection or annotation contracts end-to-end.
  • Technical Domain: Direct experience managing audio, speech, voice, or multimodal data projects.
  • Analytical Chops: Strong analytical skills with the ability to build dashboards and use data to solve quantitative operational problems.
  • QA Design: Quality workflow design experience, including creating annotation guidelines, QA rubrics, and quality control systems.
  • Mindset: Extreme ownership, resilience in the face of ambiguity, and a habit of pushing through obstacles to deliver results.
  • Presence: Ability to work full-time on-site (5 days/week) in the San Mateo/Redwood City, CA area.