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Internship Medical Data Annotation Jobs (NOW HIRING)

Senior EKG Analyst

CA · Remote

$27 - $30/hr

... rhythm interpretation, annotation, and quality-focused analysis of cardiac data to support ... This role is also eligible for a range of benefits including medical, dental and 401K retirement ...

... high-quality data for scenarios involving patient care coordination, medical billing ... annotation tools tailored for healthcare and administration data. • Select and analyze complex ...

BASIC QUALIFICATIONS - Experience in natural language data labeling, data annotation, linguistic ... Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) ...

Experience developing and maintaining annotation guidelines or evaluation protocols for human ... Benefits package - medical insurance, vision, dental, etc. * Corporate social events * Professional ...

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Internship Medical Data Annotation information

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$12

$22

$42

How much do internship medical data annotation jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for internship medical data annotation in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the meaning of internship?

An internship is a temporary position that provides practical work experience in a specific field, such as medical data annotation. Interns typically assist with tasks under supervision to develop skills and gain industry knowledge, often as part of educational or training programs. It can be a valuable step toward a full-time career in the field.

Is a 3.4 GPA good for internships?

For an internship in medical data annotation, a 3.4 GPA is generally considered acceptable, especially if combined with relevant skills such as attention to detail and familiarity with data annotation tools. Many employers prioritize practical skills and experience alongside GPA, so demonstrating proficiency can be more important than the exact GPA score.

What is the difference between an attachment and an internship?

An internship is a temporary, structured work experience designed for skill development and career exploration, often involving training and mentorship. An attachment typically refers to a document or file added to an application or report, and in some contexts, it can also mean a short-term work placement or observation period. In the context of a Medical Data Annotation internship, it involves hands-on labeling of medical data to improve AI models, while an attachment is a supporting document or file related to the role.

Is $30 an hour good for an intern?

For an internship in medical data annotation, $30 an hour is considered above average, as most internships pay lower rates or offer stipends. However, pay can vary based on location, required skills, and the complexity of annotation tasks. Interns should also consider the experience gained and potential for future opportunities when evaluating compensation.

What is the difference between Internship Medical Data Annotation vs Medical Data Labeling Specialist?

AspectInternship Medical Data AnnotationMedical Data Labeling Specialist
CredentialsTypically students or entry-level with basic knowledgeRelevant certifications or experience in data annotation
Work EnvironmentInternship programs, often in healthcare or tech companiesFull-time or part-time roles in healthcare tech firms
Industry UsageUsed for training and educational purposes, entry-level projectsOperational roles focusing on data accuracy and labeling

Internship Medical Data Annotation roles are usually entry-level positions designed for students or newcomers to gain experience, often within internship programs. Medical Data Labeling Specialists are more experienced roles focused on precise data annotation for AI training, requiring relevant skills or certifications. While both involve working with medical data, internships are more educational, whereas specialists handle ongoing, professional data labeling tasks.

More about Internship Medical Data Annotation jobs
What cities are hiring for Internship Medical Data Annotation jobs? Cities with the most Internship 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 Internship Medical Data Annotation jobs? States with the most job openings for Internship Medical Data Annotation jobs include:
Infographic showing various Internship Medical Data Annotation job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 4% As Needed, 92% Full Time, 2% Part Time, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
AIML Data Operations - Account & Program Manager

AIML Data Operations - Account & Program Manager

Apple

Austin, TX

$172K - $258K/yr

Full-time

Medical, Dental, Retirement

Posted 28 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

Behind every groundbreaking AI innovation at Apple is a foundation of high-quality annotated data. We are looking for an AI/ML Data Operations Program Manager to play a critical role in ensuring the quality and efficiency of this vital process.
In this role, you will engage with teams across Appleʼs ecosystem with the ultimate goal of delivering high-quality annotated data that enables AI advancements across the company. You will be responsible for capturing initial requirements, following through on all program commitments from our cross-functional operations and engineering teams, and maintaining the customer relationship. You will need to understand the strategic goals of your customers to help prioritize operations tasks and coordinate with capacity planning for operational resources. Imagine being at the heart of Apple's AI revolution, ensuring that our machine learning models are trained with the highest quality data. As a Program Manager, you will be the vital link between our innovative teams and the data they need to create the next generation of Apple products and features.
Description
As an AI/ML Data Operations Program Manager, you will be at the core of our Artificial Intelligence and Machine Learning development process. You will collaborate with cross-functional teams to define annotation requirements, manage operational projects from prototype to scale, and ensure customer satisfaction by delivering high-quality data. Your work will directly contribute to the success of the next generation of Apple products and features.","responsibilities":"Translate complex needs into actionable plans to ensure seamless execution between engineering teams and operations experts.
Build a program with operations, engineering, and business teams to deliver annotated data to engineering teams across Apple.
Lead annotation projects, ensuring follow-through on operational initiatives from prototyping to scaling across global teams.
Partner with training, quality, data analytics, and capacity planning teams to design and create scalable solutions for current and future annotation requirements.
Resolve problems as they arise to gain the trust and confidence of teams across Apple, resulting in the delivery of high-quality annotated data.
Preferred Qualifications
Experience with data annotation tools and workflows, and a strong understanding of machine learning concepts and methodologies.
Minimum Qualifications
10+ years of experience managing cross-functional programs across global teams.
Experience communicating technical concepts to technical and non-technical audiences.
Experience consolidating multiple points of view into recommendations to move projects forward.
Experience building rapport and influencing stakeholders.
Experience identifying and resolving process bottlenecks.
Self-motivated and proactive, with the ability to thrive in a fast-paced, ambiguous environment.
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 $172,100 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. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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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