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Internship Medical Data Annotation Jobs (NOW HIRING)

Gehc

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 ...

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) ...

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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.

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Internship Medical Data Annotation jobs near you
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.
Ophthalmologist (Medical Data Labeling Specialist)

Ophthalmologist (Medical Data Labeling Specialist)

Saviance

Boston, MA • Remote

Other

Posted 16 days ago

Job description

Ophthalmologist (Medical Data Labeling Specialist)
Location: India, Remote
Duration: Ongoing Part-Time
About BigRio
BigRio is a Boston-based, remote-first technology consulting firm specializing in advanced data and software solutions. We partner with forward-thinking organizations to deliver scalable, cost-effective, and innovative technology, with particular expertise in AI/ML, data engineering, and cloud-native applications. Our clients span healthcare, life sciences, government, and enterprise sectors, and we are known for our ability to tackle complex challenges with cutting-edge solutions.
About Job:
This role leverages the clinical expertise of an ophthalmologist to accurately annotate and label medical data, primarily images and structured clinical data related to eye health, for the development and refinement of artificial intelligence (AI) and machine learning (ML) models in ophthalmology.
Responsibilities
Key responsibilities include:
  • Data Annotation: Reviewing and annotating various ophthalmic data like fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
  • Adherence to Protocols: Applying standardized grading protocols consistently for accurate and consistent labeling.
  • Quality Control & Feedback: Participating in calibration sessions and reviews to maintain annotation consistency.
  • Collaboration: Working with AI engineers and data scientists to ensure the clinical validity of guidelines.
  • AI Model Validation: Validating AI model outputs for clinical accuracy and safety.
  • Patient Education Material Development (potential): Possibly creating or reviewing materials for AI/ML algorithms to provide accurate patient education.
  • Privacy and Security: Ensuring compliance with patient privacy and data security policies, like HIPAA.
Qualifications
Essential qualifications typically include:
  • Ophthalmologist (MBBS) with at least 1-2 years of clinical experience.
  • Extensive Clinical Knowledge: In-depth understanding of various eye conditions.
  • Experience in Clinical Data Review: Familiarity with medical record documentation.
  • Attention to Detail: Commitment to accurate annotation.
  • Communication Skills: Excellent communication skills, both written and verbal, in English.
  • Teamwork: Ability to collaborate effectively with a multidisciplinary team.
Required skills often include:
  • Medical Image Annotation: Proficiency in using annotation tools to delineate structures and pathologies
  • Data Interpretation and Assessment: Skill in interpreting data related to medical products and AI model performance.
  • Problem Solving: Ability to identify challenges and recommend solutions.
  • Adaptability: Ability to adapt to varying image resolutions and file formats.

This role offers a unique opportunity to contribute to the development of AI tools that can improve eye health and patient care on a wider scale.
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About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

Social media

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