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Data Annotation Engineer Jobs in Arizona (NOW HIRING)

Senior Data Engineer / Data Curator

Phoenix, AZ

$130.50K - $177.30K/yr

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most ... Experience with data annotation tools and platforms for manual or semi-automated labeling.

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130.50K - $177.30K/yr

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most ... Experience with data annotation tools and platforms for manual or semi-automated labeling.

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Design Verification Engineer

Chandler, AZ · On-site

$133.90K - $163.50K/yr

Run and debug gate-level simulations, including timing violations and back-annotation issues ... Candidates for this role must be able to access technical data without a requirement for an export ...

Senior Design Verification Engineer

Chandler, AZ · On-site

$133.90K - $163.50K/yr

Run and debug gate-level simulations, including timing violations and back-annotation issues ... Candidates for this role must be able to access technical data without a requirement for an export ...

Staff Design Verification Engineer

Chandler, AZ · On-site

$133.90K - $163.50K/yr

Run and debug gate-level simulations, including timing violations and back-annotation issues ... Candidates for this role must be able to access technical data without a requirement for an export ...

Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage ...

Maintain sheet notes, symbols, and annotation accuracy in assigned views. * Apply shared parameters ... Associate's or Bachelor's degree in Drafting, Design, Architecture, Engineering, or equivalent ...

Data Annotation Engineer information

See Arizona salary details

$48K

$137.4K

$183.6K

How much do data annotation engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for data annotation engineer in Arizona is $137,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $182,600.00 per year, depending on experience, location, and employer.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.
What are popular job titles related to Data Annotation Engineer jobs in Arizona? For Data Annotation Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Arizona look for? The top searched job categories for Data Annotation Engineer jobs in Arizona are:
What cities in Arizona are hiring for Data Annotation Engineer jobs? Cities in Arizona with the most Data Annotation Engineer job openings:

Senior Data Engineer / Data Curator

TSMC

Phoenix, AZ

$130.50K - $177.30K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


TSMC rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

36th of 137 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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