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Internship Ai Annotation Jobs (NOW HIRING)

Amazon

Senior Research Engineer, AWS Agentic AI

New York, NY · On-site

$114.30K - $157K/yr

... annotation/evaluation web applications. * Expedite science to production: bridge the gap between ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

We are currently hiring both full-time and interns to join our R&D team. Responsibilities ... Provide insights to data collection and annotation and collaborate with the data team for in-house ...

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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.

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Internship Ai Annotation jobs near you
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.
Machine Learning Engineer - Visual Agents - Special Projects

Machine Learning Engineer - Visual Agents - Special Projects

Apple

Cupertino, CA • On-site

Full-time

Posted 14 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.
The Special Projects team at Apple is developing novel experiences powered by state-of-the-art agentic vision-language models that incorporate visual context into conversational interaction. We are looking for a Machine Learning Engineer to help us build, fine-tune, and rigorously evaluate these systems. A successful candidate has hands-on experience with vision-language models, knows how to translate ambiguous product requirements into measurable evaluation criteria, and is excited to work at the intersection of multimodal modeling and agentic AI.
BA or Master's degree in Computer Science or Machine Learning2+ years of hands-on experience building and evaluating generative AI or multimodal modelsExperience working with vision-language models or multimodal systemsProficiency in Python and ML frameworks (Pytorch or Tensorflow)
PhD in Computer Science, Machine Learning, Statistics, or other STEM fieldPrior industry internship or research experience applying ML to product use casesExperience with video understanding, temporal reasoning, or activity recognitionFamiliarity with agentic system design including tool use, grounding, or perceive-act loopsExperience building or working with large-scale multimodal data and annotation pipelinesProficiency in training, fine-tuning, and evaluation of foundation models and frameworksPublications or technical presentations in Machine Learning journals or conferencesExcellent communication skills and cross functional collaboration

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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