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Full Time Medical Data Annotation Jobs (NOW HIRING)

Figure

Data Quality Partner Lead

San Jose, CA · On-site

$120K - $180K/yr

Own Figure's external annotation and review vendor strategy end to end, from sourcing through ... The US base salary range for this full-time position is between $120,000 - $180,000 annually. The ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $350K/yr

Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may ...

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 ...

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All JobsFull Time Medical Data Annotation Jobs

Full Time Medical Data Annotation information

How hard is it to get a job with data annotation tech?

Getting a full-time medical data annotation job typically requires basic computer skills, attention to detail, and sometimes familiarity with medical terminology or annotation tools. Many positions are entry-level and do not require extensive experience or certifications, making them accessible to beginners willing to learn. Competition varies depending on the company and location, but consistent application and skill development can improve chances of employment.

Does data annotation actually pay well?

Full Time Medical Data Annotation jobs typically offer pay rates that are competitive for entry-level roles, often ranging from minimum wage to slightly above, depending on the employer and location. While some positions may provide higher wages with specialized skills or certifications, data annotation generally does not pay as much as more advanced healthcare or technical roles.

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 data annotation tools or software is beneficial. Some roles may require a certification or prior experience in medical data or research environments.

What is the difference between Full Time Medical Data Annotation vs Medical Transcriptionist?

AspectFull Time Medical Data AnnotationMedical Transcriptionist
CredentialsBasic medical knowledge, attention to detailMedical terminology knowledge, transcription skills
Work EnvironmentRemote, computer-basedRemote or on-site, audio recording review
Industry UsageAI training, healthcare data labelingMedical record documentation
Search IntentData annotation jobs, AI healthcare dataMedical transcription jobs, healthcare documentation

Full Time Medical Data Annotation involves labeling and annotating medical data to train AI systems, requiring attention to detail and basic medical knowledge. Medical Transcriptionists focus on converting audio recordings into written reports, emphasizing transcription skills. While both roles support healthcare, they differ in tasks, tools, and industry applications.

How much does data annotation pay physicians?

Full-time medical data annotation roles typically pay between $15 and $30 per hour, depending on experience and location. Physicians involved in data annotation may earn higher rates due to their medical expertise, but compensation varies widely based on the employer and project scope.
More about Full Time Medical Data Annotation jobs
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Full Time Medical Data Annotation jobs near you
Generative AI Analyst (Chinese zh-CN) - Onsite \u007C San Jose, CA

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

Welo Data

Sunnyvale, CA

$136K/yr

Full-time

Posted 7 days ago

Be an early applicant

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.