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Data Annotation Ai Trainer Jobs in California (NOW HIRING)

OpenAI

Program Manager, Human Data

San Francisco, CA · On-site

$207K - $230K/yr

You will be a key interface between our external vendors and AI trainers, ensuring human data ... You've gone beyond basic data annotation and have hands-on experience with data analytics, using ...

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 ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... data processing, training, evaluation, and deployment into real-world and real-time systems. • ... annotation, QA workflows, dataset management, augmentation, and versioning. • Implement ...

Sieve

Data Operations Lead

San Francisco, CA · On-site

Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in the growth of ... quality training data. The Data Operations Lead will manage the execution and scaling of the ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... training • Work together with AI researchers to support new kinds of data workflows ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA

$127K - $149K/yr

Build scalable pipelines for data processing, training, evaluation, and deployment into real-world ... Design labeling strategies and tooling for automated annotation, QA workflows, dataset management ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... training • Work together with AI researchers to support new kinds of data workflows ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... training • Work together with AI researchers to support new kinds of data workflows ... data annotation and dataset management tools. Company : Figure is an AI robotics company that ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Build scalable pipelines for data processing, training, evaluation, and deployment into real-world ... Design labeling strategies and tooling for automated annotation, QA workflows, dataset management ...

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All JobsData Annotation Ai Trainer JobsData Annotation Ai Trainer Jobs in California

Data Annotation Ai Trainer information

What is a data annotation AI trainer?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What does a data annotation AI trainer do?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

What are the key skills and qualifications needed to thrive as a data annotation AI trainer?

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Salaries can range from entry-level rates to higher wages for specialized skills or advanced tools proficiency.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by tech companies and data labeling firms. However, job seekers should verify the employer's credibility to avoid scams.

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

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

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

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

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Cities in California with the most Data Annotation Ai Trainer job openings:

Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai Trainer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Program Manager, Human Data

OpenAI

San Francisco, CA • On-site

$207K - $230K/yr

Full-time

Re-posted 5 days ago

Job description

About the Team
The Human Data team turns human feedback into reliable signals for training and evaluation. We design and run end-to-end programs that capture the depth of human intent behind everyday and high-stakes uses of our models. Our remit spans bespoke data campaigns, scalable synthetic data generation, and product-embedded signals. We partner closely across all research teams to translate these signals into training datasets, novel evaluations, and feedback loops that push the frontier of our models and advancetheir applications.
About the Role
As a Program Manager (PGM) in the Human Data team you will partner with our research teams, operations and engineering to execute complex programs for collecting high-quality data. You will be a key interface between our external vendors and AI trainers, ensuring human data campaigns are successfully completed. Your work will play a key role in enabling OpenAI to train safe models that will land in the real world
This role is based in our San Francisco HQ.
In this role, you will:
  • Work in a high velocity environment, where the outcome of your work will have a direct impact on the models that OpenAI deploy in the real world
  • Work closely with external vendors, trainers and internal researchers to collect, review, and deliver high-quality data
  • Gather requirements, write instructions, define success criteria, and calibrate the AI trainers
  • Use internal tooling to assess labeled data and provide feedback to AI trainers
  • Think critically and share recommendations on tooling and process improvements, optimizing for quality, throughput, and AI trainer experience

You'll thrive in this role if:
  • You thrive in dynamic environments. You are comfortable navigating ambiguity, managing shifting priorities, and adapting to fast-paced changes without missing a beat.
  • You're curious about AI, LLMs, Agents. While not required, an interest or background in these areas will help you connect the dots in our broader mission.
  • You have a can-do attitude. You don't shy away from rolling up your sleeves and tackling the "grunt work" with the same enthusiasm as high-visibility tasks.
  • You're an excellent communicator. You love bringing people together, fostering collaboration, and providing clarity in complex situations. Your empathetic approach helps you understand different perspectives and build strong, trusting relationships.
  • You are resilient and flexible. Setbacks don't rattle you. You bounce back quickly, adjust strategies as needed, and maintain a positive, solution-oriented mindset.
  • You're super organized amidst chaos. Even when things are moving quickly, you keep track of details, manage competing demands, and bring structure to complexity.
  • You enjoy operational work. While you might have an interest in broader topics like safety, you find satisfaction in executing operational tasks efficiently and effectively.
  • You have a knack for data. You've gone beyond basic data annotation and have hands-on experience with data analytics, using insights to inform decisions and improve processes.
  • You're energized by start-up environments. If you enjoy the hustle, resourcefulness, and rapid iteration typical of start-ups, you'll feel right at home.
  • You have some relevant experience. Ideally, you have at least 1-2 years of relevant experience and are eager to grow within a role that challenges and develops your skills.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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