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Internship Medical Data Annotation Jobs in Phoenix, AZ

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Experience with data annotation tools and platforms for manual or semi-automated labeling ... This includes a variety of medical, dental and vision plan offerings you can choose from that best ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Experience with data annotation tools and platforms for manual or semi-automated labeling ... This includes a variety of medical, dental and vision plan offerings you can choose from that best ...

YO AI Labs

Medical Coder - Remote

Phoenix, AZ · Remote

$50 - $80/hr

Job Title: Medical Coder Job Type: Contractor Location: Remote Job Overview We are seeking ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

Accenture

Data Protection, A/SA-Evergreen

Phoenix, AZ

$84K - $100K/yr

Prior internship, academic project, or entry-level experience in security or compliance is a plus ... Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and ...

The State of Arizona

ONCOLOGY DATA SPECIALIST

Phoenix, AZ · On-site

$61K - $64K/yr

PHOENIX Categories: Healthcare/Medical Professional Level, Program Management, Misc/Other/Not ... Additionally, this position may train and guide interns, support staff, and contractors. Required ...

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Internship Medical Data Annotation information

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

As of Aug 28, 2026, the average hourly pay for internship medical data annotation in Phoenix, AZ is $22.34, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

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.

What are the most commonly searched types of Medical Data Annotation jobs in Phoenix, AZ?

The most popular types of Medical Data Annotation jobs in Phoenix, AZ are:

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For Internship Medical Data Annotation jobs in Phoenix, AZ, the most frequently searched job titles are:

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Cities near Phoenix, AZ with the most Internship Medical Data Annotation job openings:

Internship Medical Data Annotation jobs near you

Senior Data Engineer / Data Curator

Phoenix, AZ • On-site

TSMC
Computer and Electronic Product Manufacturing • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

60th of 159 rated electronics manufacturers

Great coworkers

People enjoy working here

Good employer

Learn more about TSMCexternal

$130K - $177K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

Senior Data Engineer / Data Curator
A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate it's leading-edge semiconductor process technology (N4 process), starting production in the first half of 2025. The second fab will utilize its leading edge N3 and N2 process technology and be operational in 2028. The recently announced third fab will manufacture chips using 2nm or even more advanced process technology, with production starting by the end of the decade. America's leading technology companies are ready to rely on TSMC Arizona for the next generations of chips that will power the digital future.
As a Senior Data Engineer in the AI Data Curation track, you will ensure that the data powering our AI models is high-quality, well-organized, and fit for use in model training and deployment. You will play a key role in designing and maintaining scalable data pipelines, ensuring that data is clean, relevant, and aligned with ethical and compliance standards.
Responsibilities:
  • Design and implement data pipelines for processing, cleaning, and curating large datasets used in model training and fine-tuning.
  • Automate data cleaning processes (e.g., removing noise, duplicates, irrelevant content) and ensure datasets are appropriately labeled and structured.
  • Collaborate with model teams to ensure data aligns with model requirements and performance goals.
  • Assess and mitigate bias in datasets, ensuring that models are trained on diverse and representative data.
  • Manage data storage and retrieval strategies, ensuring scalability and data consistency across different environments.
  • Conduct regular audits to ensure data integrity, privacy, and security compliance.

Minimum Qualifications/Requirements:
Education: Minimum degree required: Bachelor's degree in Computer Science, Data Science, or a related field.
Technical Skills:
  • 5+ years of experience in data engineering, data wrangling, or data curation, particularly in machine learning or AI-driven environments.
  • Strong proficiency in Python (Pandas, NumPy) and SQL for data manipulation and querying.
  • Familiarity with cloud-based data storage (AWS S3, Google Cloud Storage, etc.) and distributed systems for managing large datasets.
  • Experience with data annotation tools and platforms for manual or semi-automated labeling.
  • Experience with NLP data formats, such as JSONL, text, or embeddings, and an understanding of tokenization.
  • Experience managing data pipelines with tools like Apache Kafka, Apache Airflow, or similar ETL tools.
  • Strong knowledge of AI ethics, data privacy, and compliance standards (GDPR, CCPA, etc.).
  • Bonus: Experience with vector databases and indexing for LLMs (e.g., FAISS, Pinecone).

Interpersonal Skills:
  • Communication
  • Computer proficiency
  • Presentation skills
  • Listening
  • Teamwork

Candidates must be willing and able to work on-site at our Phoenix Arizona facility.
As a valued member of the TSMC family, we place a significant focus on your health and well-being. When you are at your best-physically, mentally, and financially-our company is at its best. We offer a comprehensive and competitive benefits program that provides the resources you need to help you manage your health and achieve your goals across many areas of your life. This includes a variety of medical, dental and vision plan offerings you can choose from that best fit your and your family's needs. Additionally, TSMC provides income-protection programs to financially assist you should you experience an injury or illness, and a 401(k)-retirement savings plan to help you secure your financial future. TSMC also offers competitive paid time-off programs and paid holidays allowing you to recharge and spend time with your family and loved ones.
Work Location: 5088 W. Innovation Circle, Phoenix, AZ 85083
TSMC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. We encourage all qualified individuals to apply, and we welcome applications from individuals with diverse backgrounds and experiences. Candidates must be able to perform the essential functions of the job with or without a reasonable accommodation. If you need a reasonable accommodation as part of this application process, please contact P_LOA@tsmc.com.
#LI-Onsite
Date: Jul 29, 2026
Country/Region: US
City: Phoenix
Company: TSMC Arizona
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About TSMC

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Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

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