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Data Annotation Ai Training Jobs in California (NOW HIRING)

Data Annotation Analyst

San Francisco, CA · On-site

$71K - $89K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Atoms builds Physical AI- real-world robots for the industries that move civilization forward ... Prior experience labeling or performing quality control for ML training data * Detail-oriented ...

Data Annotation Analyst

San Francisco, CA · On-site

$71K - $89K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Atoms builds Physical AI- real-world robots for the industries that move civilization forward ... Prior experience labeling or performing quality control for ML training data * Detail-oriented ...

Data Annotation Analyst

San Francisco, CA · On-site

$71K - $89K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Atoms builds Physical AI- real-world robots for the industries that move civilization forward ... Prior experience labeling or performing quality control for ML training data * Detail-oriented ...

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... training, fine-tuning, or evaluation datasets. Company : Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets.

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... training, fine-tuning, or evaluation datasets. Company : Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets.

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... training, fine-tuning, or evaluation datasets. Company : Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets.

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Showing results 21-40

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Infographic showing various Data Annotation Ai Training job openings in California as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation

Apple, Inc.

Cupertino, CA • On-site

Other

Re-posted 26 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Apple is where individual imaginations gather together, committing to the values that lead to
great work. Every new product we build, service we create, or experience we deliver is the
result of us making each other's ideas stronger. The diversity of our people and their thinking
inspires the innovation that runs through everything we do. When we bring everybody in, we
can do the best work of our lives. Here, you'll do more than join something - you'll add
something.
Description
The Special Projects team at Apple is developing novel user-facing conversational features that
leverage the multimodal capabilities of state-of-the-art foundation models. As part of this
process, we generate real-world and simulated data, gather human data annotations, analyze
the results, and use them to build and evaluate Large Language Model judges. We are looking
for a skilled Data Scientist to join our Machine Learning Evaluations teams. This person will
work closely with ML Engineers to manage and analyze our human and automated data
annotation processes, and to develop, test, and refine LLM judges for generative AI model
evaluation. A successful candidate is experienced in survey design, data annotation, LLM
prompt engineering and prompt optimization, and has strong statistical analysis skills.
Minimum Qualifications
BA or Master's degree in Data Science, Statistics, or a quantitative social science field
2+ years of hands-on experience working in survey design and human data annotation
Proficiency in Python
Excellent communication skills
Preferred Qualifications
PhD in Data Science, Statistics, or a quantitative social science field
Hands-on industry experience with product-focused statistical analysis
Experience working with large-scale multimodal data and data-annotation pipelines
Experience with LLM prompt engineering & prompt optimization
Experience with LLM auto-judges for generative AI model evaluation
A track record of publications or technical presentations in Data Science or a related field
Excellent at cross-functional collaboration

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976