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Medical Annotation Jobs (NOW HIRING)

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

... Perform data annotation required to train and evaluate ML models effectively • Support data ... Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) ...

xAI

AI Healthcare and Administration Tutor

... teams to improve annotation tools and curate impactful data. Responsibilities : • Utilize ... medical billing, administrative workflows, and healthcare operations. • Collaborate with ...

Grid Dynamics Holdings

Research Scientist

... systems, and annotation and/or study participant guidelines. Essential functions * Taxonomy ... Benefits package - medical insurance, vision, dental, etc. * Corporate social events * Professional ...

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 ...

MJH Life Sciences

Principal Medical Writer

Cranbury, NJ · On-site

$95K - $105K/yr

Adhere to appropriate reference and annotation standards and resolving fact-check queries, ensuring ... Medical Event Attendance: * Attend live events such as consensus meetings and professional ...

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 ...

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Medical Annotation information

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$47.5K

$77.4K

$104.5K

How much do medical annotation jobs pay per year?

As of Jun 13, 2026, the average yearly pay for medical annotation in the United States is $77,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $90,000.00 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.
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Medical Annotation jobs near you
Infographic showing various Medical Annotation job openings in the United States 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 $77,408 per year, or $37.2 per hour.
Generative AI Analyst (Chinese zh-CN) - Onsite \u007C San Jose, CA

Generative AI Analyst (Chinese zh-CN) - Onsite \u007C San Jose, CA

Welo Data

Redwood City, CA

$142K/yr

Full-time

Posted yesterday

Job description

About the Role

We are looking for highly detail-oriented Generative AI Analysts to join our team onsite in San Jose, California. In this role, you will contribute to the development of cutting-edge AI technologies by supporting the annotation, evaluation, and quality review of multilingual and multimodal datasets used to train generative AI systems.

This position is ideal for candidates passionate about AI, language, data quality, and emerging technologies, with strong analytical skills and native-level Chinese proficiency.

What You’ll Do
  • Perform annotation and labeling tasks for Chinese generative AI datasets, including text, image, video, audio, and multimodal content
  • Review and evaluate AI-generated prompts and responses across a variety of topics and use cases
  • Conduct quality assurance checks to ensure accuracy, consistency, and compliance with annotation guidelines
  • Identify edge cases, inconsistencies, and quality issues in datasets and model outputs
  • Support data categorization, tagging, evaluation, and content review workflows for machine learning systems
  • Assist in the creation and refinement of annotation guidelines and evaluation frameworks
  • Collaborate with cross-functional teams to improve operational processes and annotation quality
  • Provide feedback on tools, workflows, and annotation methodologies
Requirements
  • Native-level proficiency in Chinese and strong English communication skills (written and verbal)
  • Excellent attention to detail and ability to follow complex guidelines and processes
  • Strong interest in generative AI, machine learning, and emerging technologies
  • Previous experience in data annotation, content review, quality assurance, or labeling operations is preferred
  • Bachelor’s degree or equivalent practical experience
  • Experience or academic background in Finance, STEM, Legal, Medical, Coding, or other specialized fields is highly valued.
  • Ability to work onsite full-time in San Jose, CA
Ways to Stand Out from the Crowd
  • Familiarity with generative AI systems, LLMs, RLHF, or multimodal AI workflows
  • Experience evaluating prompts, responses, images, videos, or AI training datasets
  • QA/testing experience within AI, data operations, or content moderation environments
  • Experience with taxonomy creation, evaluation rubrics, or dataset quality initiatives
  • Python or scripting knowledge
  • Additional language proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, French, etc.)
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.