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Internship Ai Annotation Jobs (NOW HIRING)

$40/hr

A data annotation company is seeking a Graduate Physics Research Intern to evaluate AI advances by ... This role offers remote work flexibility, allowing interns to choose projects and work on their own ...

... AI model performance in Employment and Labor Law . Create and maintain precise annotation standards ... institution (excluding internships or clerkships). Access to a desktop or laptop computer ...

... annotation engines Minimum Qualifications • Bachelor's degree in Computer Science, Computer ... internship, work experience, coding competitions, or widely used contributions in open source ...

Prior industry internship experience in business analytics, product research, or a related field ... Access to proprietary datasets, annotation infrastructure, and compute resources for research ...

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Internship Ai Annotation information

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

To thrive as an AI Annotation Intern, you need attention to detail, basic data analysis skills, and familiarity with data labeling concepts, usually supported by coursework in computer science or related fields. Experience with annotation tools like Labelbox, Supervisely, or CVAT, as well as understanding of data privacy protocols, is highly valuable. Strong communication, time management, and the ability to follow complex guidelines help you excel in this position. Mastering these skills ensures high-quality, accurate datasets that are critical for training reliable AI models.

What are the typical responsibilities of an AI Annotation Intern, and how do they contribute to the overall AI development process?

As an AI Annotation Intern, your primary responsibility is to label and categorize large sets of data—such as images, text, or audio—which are crucial for training and improving machine learning models. You'll work closely with data scientists, machine learning engineers, and other annotators to ensure accuracy and consistency in the datasets. This role often involves using specialized annotation tools, reviewing outputs, and flagging ambiguous data. Your work is vital for building high-quality AI systems, and you'll gain valuable insights into how annotated data directly impacts model performance and decision-making. Additionally, interns often have opportunities to learn about the end-to-end AI development process and may progress into more advanced roles with experience.

What is an AI Annotation Intern?

An AI Annotation Intern is someone who helps train artificial intelligence models by labeling and categorizing data, such as images, text, or audio. This process, known as data annotation, is crucial for improving the accuracy of machine learning algorithms. Interns typically work under supervision to ensure the data is correctly tagged according to specific guidelines. The role provides hands-on experience in the field of AI and machine learning, often requiring attention to detail and familiarity with annotation tools.

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

AspectInternship Ai AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentOffice or remote; collaborative with AI/tech teamsOffice or remote; focused on data preparation tasks
Industry UsageAI development, machine learning projectsData management, AI training datasets
Search & Comparison IntentUnderstanding roles in AI data annotationSimilar data labeling roles in AI projects

Internship Ai Annotation typically involves entry-level tasks in AI data annotation, often as part of an internship program, focusing on labeling data for machine learning models. Data Labelers perform similar tasks but may not be part of an internship and often work on larger datasets. Both roles require basic technical skills and are essential in AI development, but internships usually offer training and career development opportunities.

More about Internship Ai Annotation jobs
What cities are hiring for Internship Ai Annotation jobs? Cities with the most Internship Ai Annotation job openings:
What are the most commonly searched types of Ai Annotation jobs? The most popular types of Ai Annotation jobs are:
What states have the most Internship Ai Annotation jobs? States with the most job openings for Internship Ai Annotation jobs include:
Infographic showing various Internship Ai Annotation job openings in the United States as of May 2026, with employment types broken down into 24% Internship, 6% Full Time, 68% Part Time, and 2% Contract. Highlights an 66% Physical, and 34% Remote job distribution.
Quality Operations Intern - AI Assistant Development

Quality Operations Intern - AI Assistant Development

Zoetis, Inc.

Lincoln, NE • On-site

$40.30/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Zoetis rating

7.6

Company rating: 7.6 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

47th of 70 rated pharmaceutical


Job description

Lincoln
Quality Operations Intern - AI Assistant Development
Location: Lincoln, NE
Internship Summary:
The Quality Operations Intern will help design and improve AI assistants for Quality Operations, simplify technical documents using AI tools, annotate and prepare data for model training, and test AI prototypes to ensure accuracy and effectiveness. The role focuses on applying AI to streamline quality processes and drive continuous improvement.
Internship Job Duties:
  • Support AI Assistant Design: Collaborate with the Quality Operations team to identify key requirements and workflows for AI assistants tailored to site-specific quality processes.
  • AI-Driven Document Simplification: Utilize AI tools and techniques to analyze quality documents including contamination control strategy, identifying areas for simplification and helping to ensure content is clear, concise, and compliant.
  • Data Preparation & Annotation: Prepare and annotate data sets, including document samples and process descriptions, to train and test AI models for accurate understanding and response.
  • Testing & Quality Assurance: Assist in testing AI assistant prototypes, providing feedback on usability, accuracy, and effectiveness in supporting contamination control and other quality operation processes.
  • Continuous Improvement: Participate in team brainstorming sessions, suggesting enhancements and new features for AI assistants based on user feedback and observed process bottlenecks.

Internship Qualifications:
  • Pursuing a degree in Computer Science, Data Science, Engineering, Information Systems, Technical Communication, or Life Sciences (Biology, Biotechnology, Pharmaceutical Sciences)
  • Introductory experience or coursework in AI/machine learning, data annotation, or process automation.
  • Familiarity with quality operations or regulated environments (e.g., GMP, FDA guidelines).
  • Strong skills in technical writing, document analysis, or process mapping.
  • Proficiency with MS Office and AI/data tools.

The following hourly pay rates reflect the anticipated base pay for this position:
If the selected candidate is a student pursuing an Associate-level degree: $16.00 per hour.
If the selected candidate is a student pursuing an Undergraduate-level degree: $22.00 per hour.
If the selected candidate is a student pursing a Graduate-level degree: $32.50 per hour.
If the selected candidate is a student pursuing a Doctorate-level degree: $36.00 per hour.
The following hourly pay rates reflect the anticipated base pay for this position if a selected candidate were to be located in California, Connecticut, District of Columbia, Illinois (Chicago area), Massachusetts, New Jersey, New York, Washington (Seattle area):
Student pursuing an Associate-level degree: $17.00 per hour.
Student pursuing an Undergraduate-level degree: $24.20 per hour.
Student pursing a Graduate-level degree: $36.40 per hour.
Student pursuing a Doctorate-level degree: $40.30 per hour.
Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications.
Zoetis is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

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