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Data Annotation Biology Jobs in California (NOW HIRING)

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Data Annotation Biology information

What is the difference between Data Annotation Biology vs Data Labeling Specialist?

AspectData Annotation BiologyData Labeling Specialist
Required CredentialsBiology degree or related certificationHigh school diploma or equivalent, training in labeling tools
Work EnvironmentLaboratory, research settings, or remoteOffice, remote, or data centers
Industry UsageBiotech, healthcare, researchTech, AI, machine learning
Job FocusAnnotating biological data, images, and sequencesLabeling various data types for AI models

Data Annotation Biology involves annotating biological data, often requiring a background in biology, while Data Labeling Specialists focus on labeling diverse data types for AI applications, with less emphasis on biological expertise. Both roles are essential in data preparation but serve different industry needs.

What is data annotation in biology?

Data annotation in biology involves labeling or tagging biological data—such as images, gene sequences, or medical records—with relevant information to make it useful for research and machine learning. Annotators may identify specific features, mark regions of interest, or classify data according to biological characteristics. This work is crucial for training artificial intelligence systems to recognize patterns, make predictions, and automate analyses in biological research. Annotated datasets help improve the accuracy and reliability of computational models in genomics, microscopy, drug discovery, and more.

What are the key skills and qualifications needed to thrive as a data annotation biology specialist, and why are they important?

To thrive as a Data Annotation Biology specialist, you need a solid background in biological sciences, attention to detail, and experience handling scientific datasets, often supported by a degree in biology or a related field. Familiarity with annotation tools, bioinformatics databases, and software such as BLAST or Ensembl is typically required, alongside knowledge of data management systems. Strong analytical thinking, precision, and good communication skills help you interpret complex biological data and collaborate effectively with researchers. These skills ensure the accuracy and utility of annotated datasets, which are critical for advancing biological research and data-driven discoveries.

What are the unique challenges faced by data annotators working with biological datasets, and how can they be addressed?

Data annotators in biology often encounter challenges such as dealing with complex, high-dimensional data (like gene sequences or microscopy images) and the need for a deep understanding of biological terminology and context. Errors in annotation can significantly impact downstream research or machine learning models, so maintaining accuracy is crucial. Collaborating closely with biologists and domain experts helps ensure consistency and correctness, while ongoing training and clear annotation guidelines help address ambiguities. Staying up-to-date with evolving biological standards and tools is also essential for success in this role.

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

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

What cities in California are hiring for Data Annotation Biology jobs?

Cities in California with the most Data Annotation Biology job openings:

Infographic showing various Data Annotation Biology job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

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

Synthires

Fresno, CA • On-site

$70 - $90/hr

Other

Posted 3 days ago

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