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Ai Data Labeling Remote Jobs in California (NOW HIRING)

Welo Data

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

$50/hr

This leadership role is open to both hybrid and remote candidates, with a preference for those who ... data labeling, or similar production environments. * 3+ years of experience leading teams and ...

YO AI Labs

AI Data Scientist Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Welocalize

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

$50/hr

This leadership role is open to both hybrid and remote candidates, with a preference for those who ... data labeling, or similar production environments. * 3+ years of experience leading teams and ...

Hirevouch

Forward Deployed Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

Frontier Data Labeling Service : Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models * Expert Marketplace : Connecting AI teams with highly ...

GDIT

AI Data Scientist

Los Angeles, CA · On-site +1

Skills: AI Systems, Big Data, Datasets Certifications: None Experience: 2 + years of related ... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ...

Snorkel AI

Lead Data Scientist

San Francisco, CA · On-site +1

$130K - $200K/yr

Experience with Streamlit, Snowflake Cortex, AI/data labeling, A/B testing, and two-sided marketplace or data product business models. Pay Transparency Notice: Depending on your work location, the ...

HumanSignal

Strategic Projects Lead

San Francisco, CA · Remote

$75K - $110K/yr

About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data ... Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label ...

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Ai Data Labeling Remote information

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How much do ai data labeling remote jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai data labeling remote in California is $95,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,721.00 and $142,477.00 per year, depending on experience, location, and employer.

What is an AI data labeling remote?

An AI Data Labeling Remote job involves annotating data, such as images, text, audio, or videos, to help train machine learning models. Tasks may include drawing bounding boxes, categorizing content, or transcribing text with accuracy. This role is typically performed online, allowing individuals to work from home with flexible hours. Strong attention to detail and familiarity with labeling tools are essential for success in this position.

What are the key skills and qualifications needed to thrive in the AI data labeling remote position, and why are they important?

To thrive as an AI Data Labeling Remote professional, you need keen attention to detail, strong organizational skills, and familiarity with data annotation concepts, typically supported by a high school diploma or relevant experience. Proficiency with common labeling tools like Labelbox, Supervisely, or proprietary platforms, and a basic understanding of data privacy and security protocols, are often required. Consistency, reliability, time management, and clear communication are crucial soft skills that set candidates apart. These abilities ensure high-quality, accurate labeling of datasets, which is critical for training effective and unbiased AI models.

What are some typical challenges faced by AI data labeling remote professionals, and how can they be overcome?

Remote AI data labeling professionals often encounter challenges such as maintaining attention to detail over repetitive tasks and ensuring consistent quality across large datasets. To overcome these challenges, it's helpful to take regular breaks, stay organized with task management tools, and actively communicate with your team leaders about any uncertainties or edge cases in the data. Many teams provide detailed guidelines and ongoing feedback to support accuracy and minimize errors. Adhering to best practices and engaging in regular check-ins with supervisors can help maintain motivation, ensure consistent performance, and contribute positively to team goals.

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

The most popular types of Ai Data Labeling jobs in California are:

What are popular job titles related to Ai Data Labeling Remote jobs in California?

For Ai Data Labeling Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Data Labeling Remote jobs in California look for?

The top searched job categories for Ai Data Labeling Remote jobs in California are:

What cities in California are hiring for Ai Data Labeling Remote jobs?

Cities in California with the most Ai Data Labeling Remote job openings:

Ai Data Labeling Remote jobs near you
Infographic showing various Ai Data Labeling Remote job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $95,986 per year, or $46.1 per hour.

Lead Gen AI Analyst

Welo Data

Santa Clara, CA • On-site, Remote

$50/hr

Full-time

Posted 16 days ago

Job description

We're looking for an experienced Lead Generative AI Analyst to join our team. This leadership role is open to both hybrid and remote candidates, with a preference for those who can work in a hybrid capacity from our Santa Clara, CA office. We're looking for someone who enjoys coordinating people, solving operational challenges, and delivering high-quality results in a fast-paced AI environment.

Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data operations, partnering with annotators, quality teams, and cross-functional stakeholders to ensure projects are delivered efficiently, consistently, and at the highest quality standards.

If you have a strong background in project management, operations, or leading production teams—and you're excited about working on cutting-edge Generative AI initiatives—this role is for you.

Pay Rate: US$50 per hour

What You'll Do

  • Lead the day-to-day operations of a team of multimodal AI annotators and reviewers.
  • Provide people leadership, including coaching, performance management, workload planning, and team development.
  • Drive project execution by balancing quality, delivery timelines, and operational priorities.
  • Own client-facing meetings, providing project updates, discussing risks, action plans, and delivery progress.
  • Serve as the primary point of contact for workflow questions, issue resolution, and project escalations.
  • Monitor team performance, quality metrics, productivity, and project health, identifying opportunities for continuous improvement.
  • Develop and refine annotation guidelines, documentation, and quality standards as projects evolve.
  • Coordinate calibration sessions and quality reviews to ensure consistent decision-making across the team.
  • Partner with cross-functional stakeholders, including Quality, Operations, Product, and Engineering teams, to resolve complex cases and improve workflows.
  • Support onboarding, coaching, and ongoing development of new team members.
  • Identify operational risks early and proactively drive solutions to keep projects on track.
  • Prepare regular reports on project status, quality trends, and key operational metrics.

What We're Looking For

  • 5+ years of experience in AI data operations, data annotation, content quality, Trust & Safety, data labeling, or similar production environments.
  • 3+ years of experience leading teams and managing projects, with ownership of delivery, quality, and operational outcomes.
  • Demonstrated experience managing personnel, priorities, and multiple workstreams simultaneously.
  • Experience leading client meetings and communicating project status to internal and external stakeholders.
  • Strong stakeholder management and communication skills.
  • Excellent written and verbal English.
  • Exceptional organizational skills with the ability to prioritize in a fast-moving environment.
  • Experience creating documentation, operational processes, or quality guidelines.
  • Comfortable making decisions in ambiguous situations while maintaining consistency and accuracy.

Preferred Qualifications

  • Experience leading AI, machine learning, or multimodal annotation programs.
  • Experience managing QA operations, calibration sessions, audits, and quality improvement initiatives.
  • Familiarity with annotation tools and AI data workflows.
  • Experience working with Product, Engineering, Research, or Vendor Management teams.
  • Knowledge of reporting, dashboards, workflow optimization, or process improvement.
  • Basic Python, SQL, or data analysis skills are a plus.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.