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Data Annotation Ai Trainer Jobs in Rancho Cucamonga, CA

DataAnnotation

Treasury Analyst - AI Trainer

Rialto, CA · Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Corona, CA · Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

El Monte, CA · Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Fullerton, CA · Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Ontario, CA · Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Orange, CA · Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Pomona, CA · Remote

$50 - $100/hr

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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All JobsData Annotation Ai Trainer JobsData Annotation Ai Trainer Jobs in Rancho Cucamonga, CA

Data Annotation Ai Trainer information

See Rancho Cucamonga, CA salary details

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How much do data annotation ai trainer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data annotation ai trainer in Rancho Cucamonga, CA is $25.28, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $27.02 per hour, depending on experience, location, and employer.

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.

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Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai Trainer job openings in Rancho Cucamonga, CA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $52,581 per year, or $25.3 per hour.

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

Synthires

San Bernardino, CA • On-site

$70 - $90/hr

Other

Posted 10 days ago

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