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Internship Ai Data Annotation Jobs in Arizona (NOW HIRING)

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

As a Senior Data Engineer in the AI Data Curation track, you will ensure that the data powering our ... Experience with data annotation tools and platforms for manual or semi-automated labeling.

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

As a Senior Data Engineer in the AI Data Curation track, you will ensure that the data powering our ... Experience with data annotation tools and platforms for manual or semi-automated labeling.

State Farm

Lead Data Scientist - Gen AI

Tempe, AZ

This area supports AI/ML solution development for Claims, Marketing, and other internal departments ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

State Farm

Data Scientist

Tempe, AZ

ET-D&AI provides data science support to internal business partners across State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

Intel

Data Scientist

Phoenix, AZ · On-site

$190K - $269K/yr

Define and architect AI agents for yield modeling and manufacturing data analytics use-case ... internship experiences and or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

Intel

AI Software Engineering Intern

Phoenix, AZ · On-site

... Data Science with 3+ months of experience in: Programming languages such as Python and C++, and ... Internship length: 6 - 12 m Job Type:Student / Intern Shift:Shift 1 (United States of America ...

Forhyre

Prompt Engineers

Phoenix, AZ

Analyze AI model outputs and make data-driven adjustments to improve prompt efficacy. * Stay up-to ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

American Express

AI Engineer III

Phoenix, AZ

$57 - $76.75/hr

... data insights. At American Express, AI is reshaping the future of commerce and redefining the ... Internship or early-career experience in fintech or other regulated environments. * Contributions ...

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Internship Ai Data Annotation information

What are the typical challenges faced during an AI Data Annotation internship, and how can I overcome them?

As an AI Data Annotation intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex annotation guidelines, and adapting to evolving project requirements. It's important to regularly communicate with your team lead or project manager to clarify any uncertainties and ensure consistency in your annotations. Leveraging available training materials and asking for feedback will help you improve your efficiency and accuracy, turning these challenges into valuable learning experiences.

What is an AI Data Annotation Internship?

An AI Data Annotation Internship is a temporary position where interns help label, tag, or categorize data (such as images, text, or audio) to train and improve artificial intelligence models. Interns typically work with datasets, ensuring that the information provided is accurate and consistent, which is crucial for machine learning algorithms to learn effectively. The role is a valuable entry point for those interested in AI, machine learning, or data science, as it offers hands-on experience with the foundational work needed to build intelligent systems.

What is the difference between Internship Ai Data Annotation vs Data Labeler?

AspectInternship Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal formal education required
Work EnvironmentOffice or remote; supervised tasks, often part-time or temporaryOffice or remote; repetitive tasks, often entry-level
Industry UsageTech companies, AI startups, research projectsTech firms, data companies, AI development teams
Search & Comparison IntentUnderstanding entry-level roles in AI data annotationComparing entry-level data labeling jobs in AI

Internship Ai Data Annotation roles typically involve supervised, short-term tasks aimed at gaining experience in AI data preparation. Data Labeler positions are similar entry-level roles focused on labeling data for machine learning. Both roles require basic skills and are used across tech and AI industries, but internships often offer more training and learning opportunities.

What are the key skills and qualifications needed to thrive as an Internship AI Data Annotation specialist, and why are they important?

To thrive as an Internship AI Data Annotation specialist, you need attention to detail, basic computer literacy, and a foundational understanding of data labeling concepts, often supported by ongoing training or coursework in data science or computer science. Familiarity with annotation tools like Labelbox, Supervisely, or VIA, and knowledge of data management platforms are commonly required. Strong organizational skills, patience, and effective communication help you manage repetitive tasks and collaborate with team members. These skills are essential to ensure high-quality data labeling, which directly impacts the performance and accuracy of AI models.
What are the most commonly searched types of Ai Data Annotation jobs in Arizona? The most popular types of Ai Data Annotation jobs in Arizona are:
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What cities in Arizona are hiring for Internship Ai Data Annotation jobs? Cities in Arizona with the most Internship Ai Data Annotation job openings:
Internship Ai Data Annotation jobs near you
Senior Data Engineer / Data Curator

Senior Data Engineer / Data Curator

TSMC

Phoenix, AZ • On-site

$130K - $177K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

TSMC rating

8.0

Company rating: 8.0 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

54th of 156 rated electronics manufacturers

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.
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Date: Jun 30, 2026
Country/Region: US
City: Phoenix
Company: TSMC Arizona

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