ZipRecruiter

Log In

1

Data Annotation Jobs in Irvine, CA (NOW HIRING)

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

... data annotation strategies and ensure high model performance and generalization. Qualifications : Required : • Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Work closely with the labeling and data operations teams to define robust data annotation strategies and ensure high model performance and generalization. What You Have * Bachelor's or Master ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Work closely with the labeling and data operations teams to define robust data annotation strategies and ensure high model performance and generalization. What You Have * Bachelor's or Master ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Work closely with the labeling and data operations teams to define robust data annotation strategies and ensure high model performance and generalization. What You Have * Bachelor's or Master ...

next page

Showing results 1-20

All JobsData Annotation JobsData Annotation Jobs in Irvine, CA

Data Annotation information

See Irvine, CA salary details

$9

$26

$56

How much do data annotation jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data annotation in Irvine, CA is $26.32, according to ZipRecruiter salary data. Most workers in this role earn between $17.80 and $31.34 per hour, depending on experience, location, and employer.

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 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.

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.

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

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

What are popular job titles related to Data Annotation jobs in Irvine, CA?

For Data Annotation jobs in Irvine, CA, the most frequently searched job titles are:

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

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

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

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

Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $54,745 per year, or $26.3 per hour.

Biostatistics Specialist (Remote | $120 -$170/hr)

Synthires

Riverside, CA • On-site

$120 - $170/hr

Other

Posted 3 days ago

New

Job description


Biostatistician


Position: Biostatistician


Type: Contract


Compensation: $120–$170/hour


Location: Remote


About the Opportunity

This opportunity is for experienced Biostatisticians with expertise in biostatistics, clinical research, statistical modeling, study design, data analysis, and regulatory standards to contribute to advanced AI research and evaluation projects.

In this role, you'll apply your expertise to evaluate complex statistical analyses, clinical research methodologies, study designs, and AI-generated scientific outputs. Your work will help improve the accuracy, reasoning, and analytical capabilities of next-generation AI systems.

No prior AI experience is required. Your biostatistical expertise, methodological rigor, clinical interpretation, and regulatory knowledge are the primary qualifications for success in this role.

Responsibilities

  • Evaluate AI-generated biostatistical analyses, clinical research outputs, and statistical methodologies for accuracy and scientific rigor.
  • Apply expertise in study design, hypothesis testing, regression analysis, survival analysis, and statistical modeling.
  • Analyze clinical trial data, observational studies, epidemiological data, and healthcare datasets.
  • Review experimental designs, statistical analysis plans, endpoints, sample size calculations, and data interpretation.
  • Assess the appropriateness of statistical methods, assumptions, models, and analytical approaches.
  • Identify methodological errors, statistical inconsistencies, biases, and potential limitations in analyses.
  • Translate complex biostatistical concepts and research findings into clear, structured documentation for AI training and evaluation.
  • Apply professional judgment to ensure methodological rigor, clinical relevance, regulatory sensitivity, and statistical accuracy.

Required Qualifications

  • Master's degree or higher in Biostatistics, Statistics, Epidemiology, Public Health, Mathematics, or a related quantitative discipline.
  • Strong experience in biostatistical analysis, clinical research, healthcare research, or pharmaceutical research.
  • Expertise in statistical modeling, hypothesis testing, regression analysis, survival analysis, and experimental design.
  • Experience analyzing clinical trials, observational studies, or real-world healthcare data.
  • Proficiency in statistical software such as R, SAS, Python, SPSS, or Stata.
  • Strong understanding of clinical research methodologies, data interpretation, and statistical reporting.
  • Excellent analytical, problem-solving, written, and verbal communication skills.
  • Ability to work independently in a fully remote environment.

Preferred Qualifications

  • PhD in Biostatistics, Statistics, Epidemiology, Public Health, or a related field.
  • Experience working with clinical trials, pharmaceutical research, medical research, or regulatory submissions.
  • Familiarity with FDA, EMA, ICH, GCP, or other relevant regulatory guidelines.
  • Experience developing statistical analysis plans, clinical study protocols, or research evaluation frameworks.
  • Experience with machine learning, healthcare analytics, AI model evaluation, or scientific data annotation.
  • Experience collaborating with cross-functional, clinical, research, or remote teams.

Compensation

  • Competitive compensation of $120–$170/hour.
  • Weekly payments.
  • Independent contractor engagement.

Application Process

  1. Easy Apply on LinkedIn
  2. Check Email for Next Steps
  3. Participate in Resume Evaluation & Interview Stage

Apply