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Entrylevel Ai Data Labeling Jobs in Arizona (NOW HIRING)

... entry-level career positions, providing a collaborative and inclusive environment where interns ... The AI & Data Analytics Intern will support the Power Solutions Group Marketing organization on a ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Develop and deploy AI/ML models that power key products such as: * Procedure Appropriateness ... Explore entity extraction, rule-based labeling, embedding-based features, etc. Visualizations ...

... of AI and high-performance computing. Responsibilities Lead a small team of technicians (DCT I-V ... labeling, terminations -- and correct mistakes in the field immediately Ensure all team members ...

... labeling. • Capable of maintaining orderly paperwork, capable of running midsize projects and ... Applicant AI Use Disclosure: We value human interaction to understand each candidate's unique ...

Navy Nuke - EE / ME CxA Agents

Phoenix, AZ

$84K - $106K/yr

... AI data projects for data center projects. They help their customers by providing solutions for ... We are looking for a Navy Nuke - EMN, MMN, or ETN to transition into an entry level CxA engineer ...

Route Operator Restocker

Mesa, AZ · On-site

$17 - $25/hr

Phoenix / Mesa, AZ Job Type: Full Time / Part Time Level: Entry Level Compensation: Competitive ... You are responsible for the consistent and professional restocking of up to 30 Ai Smart Coolers on ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entrylevel Ai Data Labeling information

What is the difference between Entrylevel Ai Data Labeling vs Data Annotation Specialist?

AspectEntrylevel Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; basic skills, sometimes certifications in data management
Work EnvironmentRemote or on-site, repetitive tasksRemote or on-site, similar repetitive tasks
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, healthcare, automotive industries

Both roles involve labeling data for AI training, often requiring similar skills and work environments. The main difference lies in terminology; 'Data Annotation Specialist' may imply a broader scope or more specialized tasks, but both are entry-level roles focused on preparing data for machine learning models.

What are popular job titles related to Entrylevel Ai Data Labeling jobs in Arizona? For Entrylevel Ai Data Labeling jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Entrylevel Ai Data Labeling jobs in Arizona look for? The top searched job categories for Entrylevel Ai Data Labeling jobs in Arizona are:
What cities in Arizona are hiring for Entrylevel Ai Data Labeling jobs? Cities in Arizona with the most Entrylevel Ai Data Labeling job openings:
Fall 2026 - AI & Data Analytics Intern

Fall 2026 - AI & Data Analytics Intern

onsemi

Scottsdale, AZ • On-site

Part-time

Posted 3 days ago


Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description


An internship at onsemi offers a dynamic opportunity to gain hands-on experience through real-world projects that drive innovation in the semiconductor industry. Interns are entrusted with meaningful responsibilities and exposed to cutting-edge technologies, fostering both technical skill development and professional growth.
onsemi views internships as a strategic pipeline for entry-level career positions, providing a collaborative and inclusive environment where interns work alongside diverse teams and contribute to high-impact initiatives. The company's commitment to sustainability, including its goal of achieving net-zero emissions by 2040, enables interns to engage in projects that align with global environmental priorities.
Key benefits include:
  • Competitive compensation and medical benefits
  • Flexible work hours aligned with academic schedules
  • Access to Employee Resource Groups (ERGs) which foster a sense of belonging and provide opportunities for mentorship and community engagement
  • Networking events, professional development workshops, and project showcases that build career readiness and visibility across the organization

Internship roles span multiple disciplines including engineering, business operations, data analytics, and finance, and are designed to align with onsemi's strategic goals of innovation and workforce development. Structured programs such as rotational field sales and finance analyst tracks offer additional career pathways for interns transitioning into full-time roles.
Responsibilities
The AI & Data Analytics Intern will support the Power Solutions Group Marketing organization on a high-priority initiative to improve product ownership visibility, data quality, and operational efficiency across product lines while helping identify and address root causes of organizational and enterprise data structure challenges. The intern will help design and prototype an AI-enabled internal tool that allows employees to quickly identify the correct Product Line Manager or Applications Manager based on product family, part number, or related ownership attributes. In addition to prototype development, the intern will evaluate the underlying process, data governance, and ownership model gaps contributing to the issue and recommend operationalized solutions that can be scaled beyond the initial proof of concept. This role offers hands-on exposure to enterprise data challenges, AI-enabled workflow improvement, and cross-functional problem solving in a semiconductor business environment.
The primary project will focus on building a working prototype or proof of concept for an ownership lookup and recommendation tool. The tool should help users resolve ownership questions more efficiently by consolidating fragmented data sources, applying structured matching logic, identifying gaps or conflicts, and presenting results with clear confidence indicators and exception handling. The project will also include root-cause analysis of the organizational, process, and enterprise data structure issues that create ownership ambiguity, along with practical recommendations for operationalizing a sustainable long-term solution.
Key Responsibilities:
  • Design and prototype an AI-enabled ownership resolution tool that identifies the appropriate Product Line Manager or Applications Manager by product family, part
    number, or related ownership attributes.
  • Collect, consolidate, clean, and normalize ownership data from internal sources into a structured, maintainable data model.
  • Analyze root causes of ownership ambiguity, including gaps in data governance,source-of-truth alignment, process ownership, organizational structure, and
    enterprise system connectivity.
  • Develop search, matching, recommendation logic, confidence indicators, and exception flags to improve ownership lookup accuracy and handle ambiguous or
    conflicting data.
  • Build analytics or dashboard views to track ownership coverage, unresolved mappings, data quality issues, root-cause themes, and prototype performance.
  • Partner with cross-functional stakeholders to validate requirements and outputs, then document prototype logic, limitations, operationalized recommendations, governance improvements, and handoff requirements for future scaling.

Qualifications
Qualifications - External
Requirements:
  • Currently pursuing a degree in Computer Science, Data Analytics, Information Systems, Engineering or a related field.
  • Proficiency in Python, SQL, or similar programming languages for data analysis, automation, or prototype development.
  • Experience working with semi-structured, or messy datasets, including cleaning, joining, validating, and transforming data.
  • Demonstrated coursework, project experience, or practical interest in AI, machine learning, natural language processing, automation, or data analytics.
  • Strong analytical and problem-solving skills, with comfort working through ambiguous business problems and incomplete information.
  • Ability to communicate technical concepts clearly to business stakeholders and work effectively with cross-functional teams.
  • Proficiency with Microsoft Excel, PowerPoint, and other productivity tools.

Preferred Skills:
  • Experience with Power BI, Tableau, or other business intelligence and data visualization tools.
  • Exposure to APIs, data pipelines, knowledge management systems, or enterprise data workflows.
  • Familiarity with prompt engineering, retrieval-augmented generation, semantic search, or practical generative AI use cases.
  • Interest in customer experience, operations, product management, or semiconductor industry workflows.
  • Ability to synthesize complex information into clear, actionable insights and executive-ready summaries.

To be considered for an internship, you must be currently enrolled in a degree seeking program.
Here at onsemi we take great pride in our internship program and the efforts we take to provide students with hands-on industry experience. We provide competitive pay medical benefits, various networking event opportunities, and flexible hours based on school schedule.
About Us
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
About the Team
We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

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