Remote opportunity at
ZoetisAI Acceleration Intern - AI Development Lifecycle
Zoetis is seeking an AI Acceleration Intern to join its AI Hub within Zoetis Tech and Digital. This remote internship focuses on the complete artificial intelligence…
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About This Role
Zoetis is seeking an AI Acceleration Intern to join its AI Hub within Zoetis Tech and Digital. This remote internship focuses on the complete artificial intelligence development lifecycle, giving participants practical exposure to evaluation, pilot execution, and production scaling at a global animal health company. This opportunity suits students pursuing degrees in computer science, data science, information systems, computer engineering, software engineering, business analytics, or related fields who want to…
Job Description
Zoetis is seeking an AI Acceleration Intern to join its AI Hub within Zoetis Tech and Digital. This remote internship focuses on the complete artificial intelligence development lifecycle, giving participants practical exposure to evaluation, pilot execution, and production scaling at a global animal health company. This opportunity suits students pursuing degrees in computer science, data science, information systems, computer engineering, software engineering, business analytics, or related fields who want to learn how enterprise AI solutions are developed and governed responsibly.
During the program, the participant will assist with pilot planning, track milestones, document architectural playbooks, and analyze pipeline metrics. The role also involves evaluating emerging artificial intelligence tools, participating in value assessments, and preparing materials for leadership groups such as the AI Council. The internship culminates in a final project presentation delivered to the team.
Responsibilities
- Plan and execute proofs of concept and artificial intelligence pilots by tracking milestones and gathering user feedback
- Collaborate with the AI Architect to document lifecycle standards, templates, and playbooks
- Examine the use case pipeline to assess throughput, stage health, and cycle times through dashboards and reports
- Conduct early evaluations of new tools and contribute to business cases and value assessments
- Prepare update materials for leadership committees including the AI Council
- Build and deliver a final project presentation to the team
Requirements
- Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Data Science, Information Systems, Computer Engineering, Software Engineering, Business Analytics, or a related discipline
- Possess or obtain authorization to work in the United States
Qualifications
- Basic knowledge of machine learning and artificial intelligence concepts, including large language models and generative AI
- Familiarity with cloud or data platforms such as AWS, Microsoft Azure, or Databricks
- Understanding of Agile practices or the software development lifecycle
- Experience working with SQL, Python, Confluence, or Jira
- Strong communication, writing, and analytical abilities
Core Skills
Benefits
- Hourly base pay rates ranging from $16.00 to $40.30 per hour depending on degree level and geographic location
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting specifies that the role is U.S. remote, with a preference for candidates located near the Parsippany, New Jersey headquarters or on the East Coast.
What is the compensation for this internship?
Hourly base pay varies by degree level and location. For standard regions, pay ranges from $16.00 per hour for associate-level degrees up to $36.00 per hour for doctorate-level degrees. In specified states and metropolitan areas, rates range from $17.00 to $40.30 per hour.
What qualifications are needed to apply?
Applicants must be enrolled in a Bachelor's or Master's degree program in a relevant field such as Computer Science, Data Science, or Software Engineering, and must possess or obtain U.S. work authorization.
Sample Interview Questions
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