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Data Annotation Manager Jobs in Arizona (NOW HIRING)

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

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 ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ

$130K - $177K/yr

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 ...

HumanSignal

Content Creator (Flexible Gig)

Phoenix, AZ

$80/hr

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 ...

HonorHealth

Nuclear Medicine Tech

Scottsdale, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... Utilizes RIS, PACS and other, ancillary image management systems as needed. * Maintains equipment ...

HonorHealth

Nuclear Medicine Tech

Phoenix, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... Utilizes RIS, PACS and other, ancillary image management systems as needed. Maintains equipment in ...

HonorHealth

Nuclear Medicine Tech

Scottsdale, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... Utilizes RIS, PACS and other, ancillary image management systems as needed. Maintains equipment in ...

HonorHealth

Nuclear Medicine Tech

Scottsdale, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... Utilizes RIS, PACS and other, ancillary image management systems as needed. Maintains equipment in ...

Honorhealth

Nuclear Medicine Tech

Phoenix, AZ

Performs data entry operations using appropriate hospital software package. Staff member may be ... Utilizes RIS, PACS and other, ancillary image management systems as needed. Maintains equipment in ...

HonorHealth

Nuclear Medicine Tech

Phoenix, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... Utilizes RIS, PACS and other, ancillary image management systems as needed. Maintains equipment in ...

HonorHealth

Nuclear Medicine Tech

Scottsdale, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... Utilizes RIS, PACS and other, ancillary image management systems as needed. * Maintains equipment ...

HonorHealth

Nuclear Medicine Tech

Scottsdale, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... Utilizes RIS, PACS and other, ancillary image management systems as needed. * Maintains equipment ...

HonorHealth

Radiologic Tech

Tempe, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... Utilizes RIS, PACS and other, ancillary image management systems as needed * assists in ...

Honorhealth

Radiologic Tech

Phoenix, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... Utilizes RIS, PACS and other, ancillary image management systems as needed * assists in ...

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All JobsData Annotation JobsData Annotation Manager JobsData Annotation Manager Jobs in Arizona

Data Annotation Manager information

See Arizona salary details

$28.9K

$90.5K

$160.3K

How much do data annotation manager jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data annotation manager in Arizona is $90,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What is the salary of data annotation manager?

The salary of a data annotation manager typically ranges from $60,000 to $120,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, and familiarity with annotation tools and team management can influence pay levels.

How much do data annotation project managers make?

Data annotation project managers typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They oversee annotation teams, coordinate workflows, and ensure quality standards are met, often requiring familiarity with annotation tools and project management skills.

What are some common challenges faced by Data Annotation Managers, and how can they be addressed?

Data Annotation Managers often encounter challenges such as maintaining high annotation quality across large and diverse datasets, managing a distributed team of annotators, and meeting tight project deadlines. To address these, it's important to implement robust quality assurance processes, provide ongoing training for annotators, and establish clear communication channels. Leveraging annotation tools with built-in validation features can also help ensure consistency and accuracy. Building a positive and collaborative team environment further contributes to better outcomes and workflow efficiency.

What does a Data Annotation Manager do?

A Data Annotation Manager oversees the process of labeling and categorizing data used to train machine learning models. They manage teams of annotators, ensure data quality, develop annotation guidelines, and coordinate with data scientists to meet project requirements. Their role is critical in maintaining high standards of accuracy and efficiency, as well as ensuring that datasets are properly prepared for AI and machine learning applications.

Does data annotation actually pay well?

Data annotation managers typically earn competitive salaries that reflect their experience and responsibilities, often ranging from entry-level to senior roles. Compensation can vary based on industry, location, and company size, with specialized skills in tools like labeling platforms and quality control often leading to higher pay.

What are the key skills and qualifications needed to thrive as a Data Annotation Manager, and why are they important?

To thrive as a Data Annotation Manager, you need expertise in data labeling processes, quality control, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Proficiency with annotation tools such as Labelbox, Supervisely, or CVAT, as well as experience with project management systems, is commonly required. Exceptional leadership, attention to detail, and strong communication skills help manage teams and ensure high annotation accuracy. These skills are critical for delivering reliable labeled datasets, which are essential for building effective AI and machine learning models.

How hard is it to get hired by data annotation?

Getting hired as a data annotation manager typically requires relevant experience in data labeling, familiarity with annotation tools, and strong organizational skills. The hiring process often involves reviewing previous work, technical assessments, and demonstrating attention to detail, with opportunities available in companies that outsource data labeling tasks.

What is the difference between Data Annotation Manager vs Data Labeling Specialist?

AspectData Annotation ManagerData Labeling Specialist
CredentialsBachelor's degree in related field, experience in data managementHigh school diploma or equivalent, training in labeling tools
Work EnvironmentTeam management, project oversight, collaboration with data scientistsHands-on labeling work, using annotation tools, focused on data tagging
Industry UsageUsed in AI/ML projects for overseeing annotation teamsPerforms the actual data labeling tasks in machine learning workflows

The Data Annotation Manager oversees the entire annotation process, managing teams and ensuring quality, while the Data Labeling Specialist focuses on executing labeling tasks. Both roles are essential in AI/ML data preparation but differ in responsibilities and scope.

What are the most commonly searched types of Data Annotation jobs in Arizona? The most popular types of Data Annotation jobs in Arizona are:
What are popular job titles related to Data Annotation Manager jobs in Arizona? For Data Annotation Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Annotation Manager jobs in Arizona look for? The top searched job categories for Data Annotation Manager jobs in Arizona are:
What cities in Arizona are hiring for Data Annotation Manager jobs? Cities in Arizona with the most Data Annotation Manager job openings:
Data Annotation Manager jobs near you
Infographic showing various Data Annotation Manager job openings in Arizona as of July 2026, with employment types broken down into 2% Locum Tenens, 38% Full Time, 23% Part Time, 1% Contract, 35% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $90,528 per year, or $43.5 per hour.
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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