ZipRecruiter

Log In

1

Commission Medical Data Annotation Jobs (NOW HIRING)

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

... to data annotation platforms or quality management frameworks; experience coaching or managing operational teams Why Encord * Competitive salary, commission, and meaningful equity in a high-growth ...

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 ...

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

Chase

Data Domain Architect Lead

Plano, TX · On-site

This is powered by high-quality annotated data and detailed annotation schemes that are the ... Those in eligible roles may receive commission-based pay and/or discretionary incentive ...

Chase

Data Domain Architect Lead

Wilmington, DE · On-site

This is powered by high-quality annotated data and detailed annotation schemes that are the ... Those in eligible roles may receive commission-based pay and/or discretionary incentive ...

next page

Showing results 1-20

People also search for

All JobsMedical Data Annotation JobsCommission Medical Data Annotation Jobs

Commission Medical Data Annotation information

What are the key skills and qualifications needed to thrive as a Commission Medical Data Annotation Specialist, and why are they important?

To thrive as a Commission Medical Data Annotation Specialist, you need a solid understanding of medical terminology, data annotation techniques, and attention to detail, often with a background in life sciences or healthcare. Familiarity with annotation platforms, data labeling tools, and compliance standards such as HIPAA is typically required. Strong analytical skills, meticulousness, and effective communication make someone stand out in this position. These skills are crucial for ensuring high-quality, accurate data that supports reliable AI and research outcomes in medical applications.

What are some common challenges faced in a Commission Medical Data Annotation role and how can they be addressed?

In a Commission Medical Data Annotation role, professionals often encounter challenges such as interpreting complex medical terminology, ensuring consistency in labeling, and maintaining high accuracy under tight deadlines. To address these, it is helpful to regularly reference standardized guidelines, participate in team reviews or audits, and seek clarification from medical experts when needed. Collaborating with peers and utilizing annotation tools efficiently can also help streamline the process and minimize errors, ensuring both quality and productivity.

What are commission medical data annotation jobs?

Commission medical data annotation jobs involve labeling and categorizing medical data—such as images, clinical notes, or audio recordings—for use in training machine learning models in healthcare. Workers are typically paid based on the amount of data they accurately annotate, rather than an hourly wage. Tasks may include identifying diseases in medical images, transcribing doctor notes, or classifying medical records. These jobs are critical for developing reliable artificial intelligence systems in medicine, supporting applications like diagnostics, treatment planning, and research. Attention to detail, understanding of medical terminology, and adherence to privacy standards are essential in these roles.

What is the difference between Commission Medical Data Annotation vs Medical Data Labeler?

AspectCommission Medical Data AnnotationMedical Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, tech-focusedRemote or office-based, tech-focused
Industry UsageUsed in AI training for healthcare applicationsUsed in AI training for healthcare applications
Search IntentComparison of roles in medical data annotationComparison of roles in medical data annotation

Both roles involve labeling medical data to train AI systems, often requiring similar skills and work environments. The main difference lies in the scope: Commission Medical Data Annotation may involve more specialized tasks or higher-level responsibilities, whereas Medical Data Labeler typically refers to the basic task of data labeling. Understanding these distinctions helps job seekers identify roles aligned with their skills and career goals.

More about Commission Medical Data Annotation jobs
What cities are hiring for Commission Medical Data Annotation jobs? Cities with the most Commission Medical Data Annotation job openings:
What are the most commonly searched types of Medical Data Annotation jobs? The most popular types of Medical Data Annotation jobs are:
What states have the most Commission Medical Data Annotation jobs? States with the most job openings for Commission Medical Data Annotation jobs include:
What job categories do people searching Commission Medical Data Annotation jobs look for? The top searched job categories for Commission Medical Data Annotation jobs are:
Commission Medical Data Annotation jobs near you
Infographic showing various Commission Medical Data Annotation job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution.
Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation

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

Apple

Cupertino, CA • On-site

$141K - $258K/yr

Other

Medical, Dental, Retirement

This job post has expired today. Applications are no longer accepted.

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.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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

View All Apple Jobs

Apply