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Internship Ai Annotation Jobs (NOW HIRING)

Snorkel AI

AI Researcher - Intern

New York, NY · On-site

About the Internship This role offers a unique vantage point: you will conduct original research ... Evaluating HITL data annotation processes, gaps, and improvements What We're Looking For * PhD ...

New

Doist

Senior Data Operations Engineer

Boston, MA · On-site

$120 - $180/hr

About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the ... interns and contractors who carry out the bulk of day‑to‑day collection and annotation. You'll ...

New

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

... interns and contractors who carry out the bulk of day-to-day collection and annotation. You'll work ... Why Join Field AI? FieldAI is tackling one of robotics' hardest problems: deploying robots in ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110K - $140K/yr

About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the ... interns and contractors who carry out the bulk of day-to-day collection and annotation. You'll work ...

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the ... interns and contractors who carry out the bulk of day-to-day collection and annotation. You'll work ...

Medium

Senior Data Operations Engineer

Boston, MA · On-site

$110 - $140/hr

About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the ... interns and contractors who carry out the bulk of day-to-day collection and annotation. You'll work ...

New

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110 - $140/hr

About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the ... interns and contractors who carry out the bulk of day-to-day collection and annotation. You'll work ...

Abaka AI

Business Development Associate

Mountain View, CA · On-site

$52K - $72K/yr

Develop a strong understanding of Abaka AI's datasets, data collection and annotation services, and ... New graduates with strong internship, sales, or entrepreneurial experience are encouraged to apply.

New

Cotiviti

Senior AI Engineer

$128K - $164K/yr

... annotation pipelines, develop scientifically rigorous ground truth datasets, and train high ... CrewAI, AutoGen) through projects, internships, or work experience * Familiarity with ...

Cotiviti

Senior AI Engineer

$128K - $164K/yr

... annotation pipelines, develop scientifically rigorous ground truth datasets, and train high ... CrewAI, AutoGen) through projects, internships, or work experience * Familiarity with ...

Helm.ai

Senior Software Engineer

$150K - $250K/yr

Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is ... Our unsupervised learning software can train neural networks without the need for human annotation ...

Jobtailor

Senior CV/ML Scientist

San Diego, CA · On-site

$140 - $210/hr

Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation ... internships, or substantial project experience in computer vision, robotics, or embodied AI.

New

The Pennsylvania State University

This fall/spring internship willconcentrate on gaining hands-on experience in AI/ML data ... Previous experience with data analysis or annotation at any level You will work up to 20 hours/week ...

Amazon

Sr. Software Dev Engineer, SageMaker AI

Seattle, WA · On-site

$139K - $183K/yr

... annotation quality assurance, and ground truth generation. 5. Technical Leadership: Mentor ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

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Internship Ai Annotation information

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 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 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 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 August 2026, with employment types broken down into 40% Internship, and 60% Full Time. Highlights an 60% In-person, and 40% Hybrid job distribution.

AI Researcher - Intern

Snorkel AI

New York, NY • On-site

Internship

Posted 3 days ago

New

Job description

About the Internship

This role offers a unique vantage point: you will conduct original research while witnessing how those ideas move through a high-growth startup's Go-To-Market (GTM) motion to create measurable impact for leading enterprises and LLM developers.

You'll work closely with Snorkel researchers on open-ended projects and produce clear research outputs (experiments, prototypes, internal writeups, and potentially publications depending on project fit and timing).

What You'll Do
  • Innovate Human-AI Interaction: Design new paradigms for distilling human expertise into model behavior
  • Define Frontier Capabilities: Collaborate with leading labs to develop the data strategies unlocking the next generation of agentic, reasoning and multi-modal models.
  • See Real Impact in Weeks - something about being able to impact the business in fast cycles
Example Project Areas

Projects vary by mentor and collaboration needs, but may include:

  • Synthetic data generation + filtering for specialized tasks
  • Evaluation datasets and benchmarks for LLM / RAG / agent behavior
  • Data-centric methods for improving reliability, calibration, and failure-mode coverage
  • Evaluating HITL data annotation processes, gaps, and improvements
What We're Looking For
  • PhD Researcher: Currently pursuing a PhD in CS, Math, or Stats with a focus on ML or NLP and a strong publication record (NeurIPS, ICML, ICLR, EMNLP).
  • Builder-Thinker: You write clean, scalable code to validate your theories and are comfortable navigating complex codebases.
  • Entrepreneurial Mindset: Curious about the business of AI-how startups scale, find product-market fit, and translate technical metrics into business ROI

Nice to have

  • Prior work on evaluation, data curation, synthetic data, weak supervision, NLP, or multimodal ML.
  • Experience collaborating with academic labs or participating in research programs.
Internship Details
  • Duration: Up to six months
  • Location: Hybrid (New York City Office) 
  • Compensation: Competitive, commensurate with experience
Why Snorkel AI Research

Snorkel offers the intellectual rigor of an elite academic lab with the velocity of a category-defining technology company. You will gain a macro-view of the AI ecosystem, working where the world's largest models meet the world's most complex data.

Apply