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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

$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

$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 ...

Fallbrook Public Utility District

SCADA Analyst - CPEN

CA · On-site

$132K - $165K/yr

Generates reports and data runs; * Develops scripts to automate repetitive tasks, for data ... annotation used for troubleshooting are kept updated; * Designs, programs, maintains, and upgrades ...

TPIRC

Research Associate - Plant Proteomics

Long Beach, CA · On-site

$75K - $95K/yr

Familiarity with bioinformatics tools, protein databases, and software for proteomic data analysis and protein annotation. * Experience working with food proteins, plant-derived bioactive compounds ...

TPIRC

Research Associate - Plant Proteomics

Long Beach, CA · On-site

$75K - $95K/yr

Familiarity with bioinformatics tools, protein databases, and software for proteomic data analysis and protein annotation. * Experience working with food proteins, plant-derived bioactive compounds ...

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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 Aug 12, 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 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 Irvine, CA? The most popular types of Data Annotation jobs in Irvine, CA are:
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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 59% Full Time, 15% Part Time, and 26% Contract. Highlights an 73% In-person, 5% Hybrid, and 22% Remote job distribution, with an average salary of $54,745 per year, or $26.3 per hour.

Biology Research Scientist (Remote | $80 -$110/hr)

Synthires

Santa Ana, CA • On-site

$70 - $90/hr

Other

Posted yesterday

New

Job description

Molecular Biologist


Position: Molecular Biologist


Type: Contract


Compensation: $70–$90/hour


Location: Remote


About the Opportunity :


This opportunity is for experienced Molecular Biologists with expertise in molecular biology, genetics, gene editing, DNA/RNA analysis, and laboratory research to contribute to advanced AI research and evaluation projects. You'll apply your scientific expertise to evaluate expert-level biological content, assess AI-generated outputs, and help improve the accuracy, reasoning, and performance of next-generation AI systems.

No prior AI experience is required. Your molecular biology expertise and research experience are the primary qualifications for success in this role. Professionals with hands-on experience in CRISPR, PCR, cloning, sequencing, genomics, and molecular diagnostics are especially encouraged to apply.


Responsibilities

  • Conduct and evaluate molecular biology research involving DNA, RNA, proteins, and gene expression.
  • Review and assess AI-generated scientific content for technical accuracy, completeness, and scientific reasoning.
  • Apply expertise in PCR, qPCR, cloning, sequencing, CRISPR gene editing, genotyping, and molecular assays.
  • Analyze DNA/RNA sequences, molecular pathways, genetic variation, and cellular mechanisms.
  • Design, interpret, and evaluate molecular biology experiments and laboratory workflows.
  • Translate complex molecular biology concepts into clear, structured documentation for AI training and evaluation.
  • Collaborate with interdisciplinary teams to ensure scientific accuracy, consistency, and data quality.
  • Apply structured evaluation frameworks and scientific judgment to improve AI model performance.

  • Required Qualifications

    • Bachelor's degree or higher in Molecular Biology, Genetics, Biotechnology, Cell Biology, Biochemistry, or a related Life Sciences discipline.
    • Strong hands-on experience with molecular biology techniques, PCR, DNA/RNA extraction, cloning, sequencing, and gene expression analysis.
    • Experience working in laboratory or wet lab research environments.
    • Excellent scientific reasoning, analytical thinking, and problem-solving skills.
    • Strong written and verbal communication skills with exceptional attention to scientific detail.
    • Ability to work independently in a fully remote environment.

  • Preferred Qualifications

    • Master's degree or PhD in Molecular Biology, Genetics, Biotechnology, Biochemistry, or a related field.
    • Experience with CRISPR, genomics, transcriptomics, bioinformatics, synthetic biology, or molecular diagnostics.
    • Familiarity with AI, machine learning, scientific data annotation, or AI model evaluation.
    • Experience developing scientific evaluation frameworks, quality assurance processes, or research review standards.
    • Experience collaborating with cross-functional or remote research teams.


    Compensation

    • Competitive compensation of $70–$90/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