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Medical Annotation Jobs in California (NOW HIRING)

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$200K - $260K/yr

Lead audio data collection and annotation efforts at Sesame. * Collaborate with research and ... Flexible spending account with employer matching up to $1,650/year (medical FSA) * Guardian ...

Russell Tobin

Real Estate Specialist

Los Angeles, CA · Remote

$48 - $52/hr

Licensed Real Estate Agent - AI Annotation Specialist (Contract Opportunity) 📍 Location: Los ... PrideGlobal and its affiliates offer eligible employees comprehensive healthcare coverage (medical ...

Oroville Hospital

Medical Scribe 7125# 13282

Oroville, CA · On-site

$25.83 - $34.71/hr

Job Summary Under the direct supervision and presence of the Practitioner (Physician and/or Mid-level Provider), the Medical Scribe provides annotation, under their own profile, in the Electronic ...

Oroville Hospital

Medical Scribe 7089 # 13658

Oroville, CA · On-site

$22.46 - $30.18/hr

Job Summary Under the direct supervision and presence of the Practitioner (Physician and/or Mid-level Provider), the Medical Scribe provides annotation, under their own profile, in the Electronic ...

Heartflow

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable ... Have a wealth of experience from working on complex, real-world AI problems in medical imaging or ...

Welocalize

Data Labeling Associate

San Francisco, CA

$34/hr

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets ... Medical, Dental, and Vision Insurance • Free Breakfast, Lunch, and Dinner (where applicable) • ...

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All JobsMedical Annotation JobsMedical Annotation Jobs in California

Medical Annotation information

See California salary details

$46.9K

$76.4K

$103.1K

How much do medical annotation jobs pay per year?

As of Jun 13, 2026, the average yearly pay for medical annotation in California is $76,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $88,800.00 per year, depending on experience, location, and employer.

What does a medical annotator do?

A medical annotator reviews and labels medical data such as images, clinical notes, and reports to help train machine learning models for healthcare applications. They ensure data accuracy and consistency, often using specialized tools and following strict guidelines to support medical AI development.

What is a Medical Annotation job?

A Medical Annotation job involves labeling and categorizing medical data, such as patient records, images, or clinical notes, to train AI models in healthcare applications. Annotators ensure that data is accurately tagged for use in machine learning, often working with radiology scans, electronic health records, or biomedical texts. This role requires attention to detail and may involve domain knowledge in medicine or life sciences to ensure high-quality annotations.

What qualifications do you need for data annotation?

Medical annotation roles typically require a high school diploma or equivalent, with some positions preferring a background in healthcare, biology, or related fields. Attention to detail, good communication skills, and familiarity with annotation tools or software are important; certifications in medical coding or data management can be advantageous.

What are the key skills and qualifications needed to thrive in the Medical Annotation position, and why are they important?

To thrive in Medical Annotation, you need a strong background in life sciences or health care, familiarity with medical terminology, and acute attention to detail. Experience with annotation platforms, electronic health records (EHRs), and possibly certifications in medical coding or data annotation are often expected. Excellent communication, analytical thinking, and the ability to follow structured guidelines are standout soft skills. These competencies are essential to ensure the accuracy, consistency, and reliability of annotated medical data used in research, AI training, or clinical analysis.

What are the typical daily responsibilities of someone working in Medical Annotation?

In Medical Annotation, your day-to-day work often involves reviewing and labeling various types of medical data, such as clinical notes, radiology images, or laboratory reports, according to strict guidelines. You may collaborate with data scientists, healthcare professionals, or other annotators to ensure accuracy and resolve ambiguities. Attention to detail is crucial, as your annotations directly support the training of AI systems or research projects. Regular feedback sessions and audits are common to maintain high-quality standards. This role offers a mix of independent work and teamwork, fostering both focus and professional growth.

Can you actually make money with data annotation?

Medical annotation jobs are paid positions that offer income based on the volume and complexity of tasks completed, often on a freelance or part-time basis. Earnings can vary widely depending on experience, skill level, and the employer, with some annotators earning a modest income while others with specialized skills can earn more. Consistent work and proficiency with annotation tools can improve earning potential.

How to become a medical annotator?

To become a medical annotator, candidates typically need a background in healthcare, life sciences, or related fields, along with strong attention to detail and familiarity with medical terminology. Training is often provided by employers, and proficiency in using annotation tools or software is beneficial. Some positions may require a certification or degree in a relevant discipline, and the work can be performed remotely or on-site.
What are the most commonly searched types of Medical Annotation jobs in California? The most popular types of Medical Annotation jobs in California are:
What are popular job titles related to Medical Annotation jobs in California? For Medical Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Medical Annotation jobs in California look for? The top searched job categories for Medical Annotation jobs in California are:
What cities in California are hiring for Medical Annotation jobs? Cities in California with the most Medical Annotation job openings:
Medical Annotation jobs near you
Infographic showing various Medical Annotation job openings in California as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $76,395 per year, or $36.7 per hour.
Data Annotation Specialist - South Bay, CA (On Site)

Data Annotation Specialist - South Bay, CA (On Site)

Welo Data

Sunnyvale, CA

Full-time

Posted 3 hours ago

Job description

OVERVIEW

Welo Data is looking for a skilled Data Analyst to join our team and contribute to advancing AI technologies. This role offers a unique opportunity to engage directly with cutting-edge AI products, supporting the refinement and performance of machine learning models through precise data analysis and quality assurance.

Project Details
Job Title: Data Analyst
Location: Bay Area, CA (Onsite)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee

Must have valid work authorization in the US (Welocalize does not sponsor VISAs at this time).

This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.
Key Responsibilities
  • Test new AI products and provide actionable feedback to improve functionality and user experience.
  • Conduct detailed data annotation and quality assurance of natural language datasets following established guidelines.
  • Collaborate in updating and refining machine learning models to boost accuracy and effectiveness.
  • Analyze data for consistency, relevancy, and alignment with project goals.
  • Perform quality control to identify and report anomalies, error patterns, and discrepancies.
  • Use basic data analysis methods to extract insights and support continuous improvement.
  • Prepare clear and concise reports on findings, including observations on data quality, AI model performance, and user feedback.
Preferred Qualifications
  • University degree in linguistics, translation, or a related field.
  • 3-5 years of professional linguistics experience.
  • Strong analytical skills with the ability to detect patterns and anomalies.
  • Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
  • Adaptability to evolving priorities and project requirements.
Benefits
  • Paid Sick Time & Paid Holiday (combined): 15 days
  • Paid Holidays: Memorial Day and Labor Day
  • Medical Insurance (subject to eligibility requirements)
  • Dental Insurance
  • Vision Insurance
  • Health Savings Account (HSA)
  • Voluntary Life Insurance
  • Accident, Critical Illness, and Hospital Indemnity Insurance
  • Telemedicine Benefit
  • 401(k) Retirement Plan
  • Employee Assistance Program
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

To know more details (Click here)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.


As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.