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Data Annotation Jobs in Oceanside, CA (NOW HIRING)

Machine Learning Engineer

Carlsbad, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

Machine Learning Engineer

Carlsbad, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning data pipelines. * Design tests for machine ...

AI Test Engineer, Sensing & Connectivity

San Diego, CA

$122K - $214K/yr

  • Medical

  • Dental

  • Retirement

... data and accelerate ground-truth annotation Define benchmarks that measure model quality, reliability, and real-world behavior Apply modern ML techniques, including foundation models and multimodal ...

Sr. Director, Lab Pipelines and LIMS

San Diego, CA · On-site

$112K - $147K/yr

Direct experience with LIMS platforms and secondary analysis pipelines (e.g., sequence data processing, variant calling, annotation workflows, or similar data-intensive pipelines) * Strong ...

Data Science & Bioinformatics * Build and maintain scalable pipelines for genomic data processing, annotation, and analysis. * Integrate public and proprietary datasets to inform assay design and ...

Principal Bioinformatician

San Diego, CA · On-site

$129K - $216K/yr

Data Science & Bioinformatics * Build and maintain scalable pipelines for genomic data processing, annotation, and analysis. * Integrate public and proprietary datasets to inform assay design and ...

Showing results 21-35

Data Annotation information

See Oceanside, CA salary details

$9

$25

$55

How much do data annotation jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data annotation in Oceanside, CA is $25.89, according to ZipRecruiter salary data. Most workers in this role earn between $17.51 and $30.82 per hour, depending on experience, location, and employer.

What does a data annotation do?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

How much money can I make doing data annotation?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Experienced annotators or those working on specialized projects may earn higher rates, especially if they have skills in specific tools or domains. Earnings can vary based on whether the work is freelance, part-time, or full-time, and some platforms offer bonuses for accuracy or speed.

What is a data annotation?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

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

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What are the most commonly searched types of Data Annotation jobs in Oceanside, CA?

The most popular types of Data Annotation jobs in Oceanside, CA are:

What job categories do people searching Data Annotation jobs in Oceanside, CA look for?

The top searched job categories for Data Annotation jobs in Oceanside, CA are:

What cities near Oceanside, CA are hiring for Data Annotation jobs?

Cities near Oceanside, CA with the most Data Annotation job openings:

Infographic showing various Data Annotation job openings in Oceanside, CA as of August 2026, with employment types broken down into 62% Full Time, 11% Part Time, and 27% Contract. Highlights an 73% In-person, 5% Hybrid, and 22% Remote job distribution, with an average salary of $53,842 per year, or $25.9 per hour.

AI Test Engineer, Sensing & Connectivity

Apple, Inc.

San Diego, CA • On-site

Other

Posted 6 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

The CoreMotion team builds the sensing and intelligence layer that powers motion-driven experiences across Apple products, from device attitude and heading to fitness tracking and gesture recognition. We're looking for someone who thinks natively in AI: fluent with modern LLMs, agentic systems, and building at scale. You'll bring AI-first approaches to hard problems in a domain where the signals are physical and the scale is hundreds of millions of devices. As a member of our dynamic group, you will have the rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.
Description
Design and deploy AI-native tooling and agentic workflows to accelerate algorithm development and validation across motion sensing domains
Scale algorithm validation to millions of sensor sessions using AI-orchestrated replay, with automated dataset selection, evaluation scheduling, and regression detection
Build agentic data pipelines to ingest, curate, and quality-check motion datasets, and use LLMs to generate synthetic sensor data and accelerate ground-truth annotation
Define benchmarks that measure model quality, reliability, and real-world behavior
Apply modern ML techniques, including foundation models and multimodal approaches, to motion sensing, sensor fusion, and activity recognition
Partner with hardware, apps, and platform teams to ship AI-driven experiences from the ground up
Own the quality bar for motion features and turn the latest AI capabilities into real impact for users
Minimum Qualifications
B.S. in Computer Science or relevant field
Experience building and shipping ML or AI systems, in production or through significant project work
Hands-on experience with LLMs, prompt engineering, and agentic frameworks
Strong software engineering fundamentals, with proficiency in Python and comfort across the stack
Experience designing evaluation frameworks, quality metrics, and test infrastructure
Demonstrated ability to work cross-functionally and deliver end-to-end features against release schedules
Preferred Qualifications
Experience with sensor data, motion algorithms, or embedded ML systems
Familiarity with distributed compute platforms and large-scale data infrastructure
Background in algorithm validation, simulation, or synthetic data generation

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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