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Medical Data Annotation Jobs (NOW HIRING)

Micro1

Medical Doctor

Manhattan, NY · Remote

Medical Doctor Job Type: Contract (Full-time or Part-time) Location: Remote Job Summary Join our ... Preferred Qualifications Familiarity with data annotation, healthcare informatics, or AI/machine ...

New

micro1

Medical Doctor

Manhattan, NY · Remote

Medical Doctor Job Type: Contract (Full-time or Part-time) Location: Remote Job Summary Join our ... Preferred Qualifications Familiarity with data annotation, healthcare informatics, or AI/machine ...

New

Alignerr

Medical Science Liaison (MSL)

Dallas, TX · Remote

No prior AI or data annotation experience required Nice to Have * Prior experience with data annotation, content evaluation, or quality review workflows * Familiarity with AI tools or language model ...

GE

Data Manager - AI Development

Waukesha, WI

Knowledge of medical imaging data formats and annotation tools (e.g., V7). * Exposure to regulated development environments (medical devices, healthcare software, or similar). * Understanding of data ...

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How much do medical data annotation jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for medical data annotation in the United States is $22.32, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $22.84 per hour, depending on experience, location, and employer.

What is a Medical Data Annotation job?

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 the Medical Data Annotation position, and why are they important?

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 roles?

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.
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Medical Data Annotation jobs near you
Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation

Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation

Apple

Cupertino, CA

$141.80K - $258.60K/yr

Other

Medical, Dental, Retirement

Posted 10 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something — you'll add something.

The Special Projects team at Apple is developing novel user-facing conversational features that leverage the multimodal capabilities of state-of-the-art foundation models. As part of this process, we generate real-world and simulated data, gather human data annotations, analyze the results, and use them to build and evaluate Large Language Model judges. We are looking for a skilled Data Scientist to join our Machine Learning Evaluations teams. This person will work closely with ML Engineers to manage and analyze our human and automated data annotation processes, and to develop, test, and refine LLM judges for generative AI model evaluation. A successful candidate is experienced in survey design, data annotation, LLM prompt engineering and prompt optimization, and has strong statistical analysis skills.

Responsibilities
  • Work closely with ML Engineers to understand data annotation needs
  • Design and manage data annotation processes, including the development of user instructions, annotation pipeline processing, and process improvement
  • Develop LLM auto-judges and judging criteria for generative AI model evaluation
  • Analyze collected data annotations to assess and refine LLM auto-judges
Minimum Qualifications
  • BA or Master's degree in Data Science, Statistics, or a quantitative social science field
  • 2+ years of hands-on experience working in survey design and human data annotation
  • Proficiency in Python
  • Excellent communication skills
Preferred Qualifications
  • PhD in Data Science, Statistics, or a quantitative social science field
  • Hands-on industry experience with product-focused statistical analysis
  • Experience working with large-scale multimodal data and data-annotation pipelines
  • Experience with LLM prompt engineering & prompt optimization
  • Experience with LLM auto-judges for generative AI model evaluation
  • A track record of publications or technical presentations in Data Science or a related field
  • Excellent at cross-functional collaboration
Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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