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Ai Annotation Jobs in California (NOW HIRING)

Welocalize

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

$50/hr

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 ...

Nexxa.AI

AI Vision Engineer

San Francisco, CA · On-site

$150 - $210/hr

Nexxa is building the best AI systems for heavy industries -- enabling machines, systems and ... Build scalable data pipelines for image and video collection, annotation, augmentation, training ...

Nexxa.ai

AI Vision Engineer

Sunnyvale, CA · On-site

$120 - $190/hr

Nexxa is building the best AI systems for heavy industries -- enabling machines, systems and ... Build scalable data pipelines for image and video collection, annotation, augmentation, training ...

Welo Data

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

$50/hr

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 ...

Nexxa.ai

AI Vision Engineer

San Francisco, CA · On-site

Nexxa is building the best AI systems for heavy industries - enabling machines, systems and ... Build scalable data pipelines for image and video collection, annotation, augmentation, training ...

Lindus Health

AI Scientist

Palo Alto, CA · On-site

$120 - $150/hr

Designing ad‑hoc annotation processes themselves. * Participating to the pre‑training effort. Qualifications & Profile * High scientific understanding of the field of generative AI: broad ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Company Overview At Skild AI, we are building the world's first general purpose robotic ... Design labeling strategies and tooling for automated annotation, QA workflows, dataset management ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy ... Design labeling strategies and tooling for automated annotation, QA workflows, dataset management ...

SpaceXAI

AI Tutor - Arabic

Palo Alto, CA · On-site

Work with technical staff to improve annotation tools for efficient audio workflows. BASIC ... Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED ...

YO AI Labs

AI Consulting Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

SpaceXAI

AI Tutor - Danish

Palo Alto, CA

Work with technical staff to improve annotation tools for efficient audio workflows. BASIC ... Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED ...

YO AI Labs

AI Consulting Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

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Ai Annotation information

What is an AI annotation?

An AI Annotation job involves labeling, tagging, or annotating data, such as images, text, or audio, to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include identifying objects in images, transcribing speech, or classifying text-based content. This job is essential for developing AI applications like self-driving cars, chatbots, and image recognition systems.

What does an AI annotation specialist do?

As an AI Annotation specialist, your typical day will involve accurately labeling, categorizing, or tagging large volumes of images, text, audio, or video data to train AI models according to project guidelines. You may work independently or as part of a team, using specialized annotation platforms and regularly reviewing your work to ensure quality and consistency. Collaboration with data scientists or project managers may be required to clarify ambiguous cases or update labeling criteria. You can expect periodic feedback and performance reviews to help refine your skills and ensure the data meets the project’s standards, making attention to detail and adaptability essential for success.

What are the key skills and qualifications needed to thrive in the AI annotation position?

To thrive as an AI Annotation professional, you need keen attention to detail, strong analytical skills, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant technical training. Familiarity with data labeling tools, annotation platforms such as Labelbox or Supervisely, and basic spreadsheet or database management is commonly required. Strong communication, time management, and the ability to maintain focus during repetitive tasks are standout soft skills. These abilities are crucial for producing high-quality, consistent data that supports the effective development and accuracy of AI models.

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

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

What are popular job titles related to Ai Annotation jobs in California?

For Ai Annotation jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Annotation jobs in California look for?

The top searched job categories for Ai Annotation jobs in California are:

What cities in California are hiring for Ai Annotation jobs?

Cities in California with the most Ai Annotation job openings:

Ai Annotation jobs near you
Infographic showing various Ai Annotation job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Lead Gen AI Analyst

Welocalize

Santa Clara, CA • On-site, Remote

$50/hr

Full-time

Posted 18 days ago

Key responsibilities

  • Lead the day-to-day operations of a team of multimodal AI annotators and reviewers.

  • Coordinate with cross-functional stakeholders to resolve complex cases and improve workflows.

  • Monitor team performance, quality metrics, and project health to ensure timely and high-quality project delivery.

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

339th of 500 rated business services

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.

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.

What Welocalize employees say

Pay

Benefits

Hours and flexibility

Workplace

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