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Medical Data Annotation Jobs in California (NOW HIRING)

Crystal Equation Corporation

Linguist III

Burlingame, CA · On-site

$43 - $48/hr

... and data annotation tasks, prompt engineering, rule-based classifier encoding, and quality ... paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our ...

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Medical Data Annotation information

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$9

$21

$51

How much do medical data annotation jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for medical data annotation in California is $21.86, according to ZipRecruiter salary data. Most workers in this role earn between $14.59 and $22.36 per hour, depending on experience, location, and employer.

What is a medical data annotation?

A Medical Data Annotation job involves labeling and categorizing medical data, such as patient records, medical images, and clinical notes, to help train artificial intelligence (AI) models. Annotators ensure that AI systems can accurately interpret medical information by applying domain-specific knowledge and following strict guidelines. This role requires attention to detail, familiarity with medical terminology, and sometimes collaboration with healthcare professionals to ensure accuracy.

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

To thrive in Medical Data Annotation, you need a solid understanding of medical terminology, attention to detail, and familiarity with clinical or healthcare data formats, often backed by relevant coursework or experience in healthcare or life sciences. Proficiency with data annotation platforms, medical coding software, and sometimes certifications like HIPAA compliance are highly valued. Strong communication skills, a high level of accuracy, and the ability to work both independently and collaboratively set standout candidates apart. These skills help ensure data integrity and support the development of reliable AI-powered healthcare solutions.

What are the typical challenges faced in medical data annotation?

One of the main challenges in Medical Data Annotation is accurately interpreting complex medical information and ensuring consistency across large datasets. Annotators often work with sensitive patient data, so maintaining confidentiality and adhering to strict data security protocols is essential. The work can be repetitive and detail-oriented, but it is crucial for training reliable medical AI systems. Successful Medical Data Annotation professionals stay motivated by understanding the impact of their work on advancing medical research and patient care.

What are the most commonly searched types of Medical Data Annotation jobs in California?

The most popular types of Medical Data Annotation jobs in California are:

What are popular job titles related to Medical Data Annotation jobs in California?

For Medical Data Annotation jobs in California, the most frequently searched job titles are:

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

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

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

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

Medical Data Annotation jobs near you
Infographic showing various Medical Data Annotation job openings in California as of September 2026, with employment types broken down into 59% Full Time, 24% Part Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $45,459 per year, or $21.9 per hour.

Research Scientist - World Modeling, Data

Sunnyvale, CA • On-site

Institute of Foundation Models
See more jobs at Institute of Foundation Modelsexternal

$150K - $400K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you'll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
Position Summary
We are looking for Research Scientists to tackle the data problems that determine our world model capabilities. You will design, develop, and run state-of-the-art systems for curating, ingesting, filtering, annotating, and training with billion-scale visual data. You will work on problems including, but not limited to, motion scoring, camera control, and video understanding. You will translate our team's human efforts into durable automated systems, whose performance is quantitatively verifiable.
$150,000 - $400,000 a year
Key Responsibilities
  • Translate requirements from downstream training, application and eval teams to actionable data work.

  • Design and build scalable data pipelines.

  • Collaborate with engineering to scale data pipelines on AWS infrastructure and in-house clusters.

  • Develop state-of-the-art visual understanding systems to accurately label and annotate images and videos, such as for detecting AI-generated content.

AcademicQualifications
  • PhD in Machine Learning or Computer Science, or equivalent industry experience.

ProfessionalExperience
Necessary:
  • Strong communication and collaboration skills for effective cross-functional teamwork.
  • Ability to navigate ambiguity and drive projects in rapidly evolving research areas.

  • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges.

Preferred:
  • Experience in building and optimizing large-scale video data pipelines.
  • Experience with large scale video curation.
  • Experience with data filtering, particularly AI-generated content detection and duplicate detection.
  • Experience with image or video data annotation.
  • Experience with video data curriculum.
  • Strong systems and engineering expertise in deep learning frameworks such as PyTorch.

  • Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains.

Visa Sponsorship
This position is eligible for visa sponsorship.
Benefits Include
*Comprehensive medical, dental, and vision benefits
*Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability

Apply