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Ai Annotation Jobs in California (NOW HIRING)

ML Engineer

Los Angeles, CA · On-site

$132K - $165K/yr

Annotation workflow experience (Label Studio, Scale AI, or similar) and a point of view on inter-annotator agreement * Familiarity with PII scrubbing patterns and privacy-by-design data handling

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... annotation, QA workflows, dataset management, augmentation, and versioning. • Implement ... Skild AI develops artificial intelligence systems that enable robots to act in physical ...

Showing results 21-40

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 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:

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.

Technical Program Manager, Human Data Annotation (Code)

Lindus Health

Palo Alto, CA • On-site

$150 - $190/hr

Other

Medical, Retirement

Posted 4 days ago


Key responsibilities

  • Collaborate with research teams to develop data strategies and translate research needs into operational human data annotation campaigns.

  • Manage and drive human data annotation campaigns from scoping through delivery, ensuring data needs, budget, and timelines are met.

  • Oversee a data quality assurance team to design and implement quality control processes, including automated and manual checks, and drive continuous improvement.


Job description

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role

We are seeking a highly skilled and motivated Technical Program Manager to lead and scale human data annotation operations for our Code team. In this pivotal role, you will collaborate closely with researchers to define and drive data strategies. This role is a critical link between research, product, engineering, and annotation teams, and will be key in accelerating research at Mistral AI.

What will you do
  • Partner closely with code research team to develop data strategies and translate research needs into operationalizable human data annotation campaigns

  • Drive human data annotation campaigns, from scoping through delivery, balancing data needs, budget, delivery timeline

  • Manage a data quality assurance team that designs and implements rigorous and scalable quality control processes, including running automated and manual checks, synthesizing actionable insights, and driving continuous improvement

  • Establish and maintain strong relationships with annotation teams (e.g. contractor, vendor) to generate high quality data, spanning phases across sourcing, contracts, onboarding / training, performance monitoring, etc.

What We're Looking For
  • 5+ years of relevant experience, with a blend of software engineering and technical program management

  • Strong technical foundation in Python

  • Highly organized, detail-oriented, and able to work well under pressure - excellent project management skills, with the ability to successfully manage multiple projects simultaneously

  • Great communication skills, capable of engaging effectively with both technical and non-technical stakeholders

  • Autonomous and proactive problem-solver with a continuous improvement mindset

  • Experience leading a team, with a low ego and team spirit mindset

  • Embraces hands-on, operational work in a fast-paced and dynamic environment


Nice to have criteria/ would be ideal if you have/are:

  • Proficiency in JavaScript/TypeScript and experience in modern web frameworks (FastAPI, Django, React, …)

  • Experience with operations around data collection, annotation, and/or quality assurance

  • Experience with vendor and/or contractor management

  • Understanding of and interest in LLMs

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

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