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Data Annotation For Ai Jobs in Vermont (NOW HIRING)

Whiterabbit.ai

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Pwc

CTIO - AI Engineer- Senior Manager

Montpelier, VT · On-site

$91K - $321K/yr

... CTIO - AI Engineer- Senior Manager, you will play a pivotal role in transforming raw data into ... for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial ...

Pwc

GIS Web AI Developer, Senior Associate

Montpelier, VT · On-site

$77K - $202K/yr

... AI Developer, Senior Associate, you will play a pivotal role in helping clients optimize ... data to inform insights and recommendations for client engagements What You Must Have - At least a ...

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Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

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

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What are popular job titles related to Data Annotation For Ai jobs in Vermont?

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What job categories do people searching Data Annotation For Ai jobs in Vermont look for?

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What cities in Vermont are hiring for Data Annotation For Ai jobs?

Cities in Vermont with the most Data Annotation For Ai job openings:

Data Annotation For Ai jobs near you
Infographic showing various Data Annotation For Ai job openings in Vermont as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Research Scientist Intern (2025)

Whiterabbit.ai

Internship

Re-posted 7 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply