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Intern Data Annotation Tech Jobs in Toronto, ON (NOW HIRING)

You will work alongside ML Engineers and Data Engineers to design systems that standardize context ... and participate in tech talks and other activities designed to support your personal and ...

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You will work alongside ML Engineers and Data Engineers to design systems that standardize context ... and participate in tech talks and other activities designed to support your personal and ...

New

Product Design Intern

Toronto, ON · Hybrid

CA$18 - CA$20/hr

Technology innovation is one of the cornerstones of Univeris' product development strategy, and ... If you would like more information about how your data is processed, please contact us. apply for ...

Job Summary Seeking a highly organized and tech-savvy Marketing Intern to support proposal coordination, data management, and marketing operations through advanced Excel, PowerPoint, and AI-driven ...

... in data, driven by insights, and enabled by innovative technology. About the Role We are looking ... Design Intern to join our creative team. If you are a student or recent graduate looking to bridge ...

Consistently ranked as Canada's most reputable financial technology brand, Interac is deeply ... Work with large, unclean data sources to visualize/democratize data and insights, assess emerging ...

We are looking for a skilled and driven IT Developer Intern to join our team. This role is perfect ... Work with data structures (e.g., arrays, linked lists, trees, graphs) and implement algorithms for ...

An Intern with Gerdau must have an eagerness to grow personally and professionally, being a part of ... Process sample and data collection and interpretation. * Implement new technology. * Train and ...

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Intern Data Annotation Tech information

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Interns in data annotation roles perform tasks like tagging and categorizing data using specialized tools, contributing to the development of accurate AI systems.

What are some common challenges faced by Intern Data Annotation Techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that vary by experience and location, with entry-level positions often paying minimum wage or slightly above. The pay can increase with skill development, familiarity with annotation tools, and the complexity of the data being labeled. Overall, data annotation jobs provide a modest income but are generally not high-paying roles.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

What is a data annotation intern?

A data annotation intern is a temporary position where individuals label or categorize data, such as images, text, or videos, to help train machine learning models. The role typically involves using annotation tools and requires attention to detail to ensure data accuracy, often under supervision or with specific guidelines.

Is data annotation tech still hiring?

Data annotation technician roles are currently in demand as companies expand AI and machine learning projects. These positions often require attention to detail and familiarity with annotation tools, and they are available in various industries including tech, healthcare, and automotive. Hiring trends indicate steady opportunities for entry-level and remote data annotation jobs.

What are Intern Data Annotation Techs?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

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

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.
Research Intern, Physics-Informed Machine Learning

Research Intern, Physics-Informed Machine Learning

Autodesk

Toronto, ON • On-site, Remote

Full-time

Posted 15 hours ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 188 rated software companies


Job description

Job Requisition ID #

26WD94881

Position Overview

The Simulation, Optimization and Systems (SOS) Group at Autodesk Research is looking for a passionate and skilled research intern for Fall 2026 at our Toronto office. The ideal intern will conduct research and develop prototype code to combine machine learning with computational tools for analyzing air flow and heat transfer in building environments.

Responsibilities

  • Research on energy analysis tools for natural ventilation and their parameterization using CFD simulations.

  • Conduct original research in developing or applying novel techniques in physics-informed machine learning.

  • Implement prototypes to test and demonstrate the ideas and methods

  • Work with both open-source libraries and in-house libraries to develop the prototypes

  • Write documentation of the work, either as academic publication or internal white paper

  • Contribute to the technical expertise of the SOS Group by conducting learning sessions

Minimum Qualifications

  • Currently pursuing a PhD degree in Engineering, Physics, Mathematics, Computer Science, or other related disciplines with a graduation date no earlier than January 2027.

  • Experience with data-driven methods in simulation

  • Experience with development of physics simulation tools and numerical solvers

  • Experience with AI model training and ecosystems (PyTorch, TensorFlow, Flax etc)

  • Experience and excellent knowledge of Python

  • Experience in publishing at top-tier conferences and journals

About the Canada Intern Program

The 2026 Canada program runs for 16 weeks (Sept 1 - Dec 18). All internships are paid. As an intern, you will contribute to meaningful projects, be mentored by industry leaders, and participate in tech talks and other activities designed to support your personal and professional development. Our internships align with Autodesk's Flexible Workplace approach, which is designed to meet the needs of our business while providing flexibility in support of office, remote and hybrid work preferences.

About Autodesk

With Autodesk software, you have the power to Make Anything. The future of making is here, bringing with it radical changes in the way things are designed, made, and used. This is disrupting every industry: architecture, engineering, and construction; manufacturing; and media and entertainment. With the right knowledge and tools, this disruption is your opportunity. Our software is used by everyone - from design professionals, engineers and architects to digital scientists, students and hobbyists. We constantly explore new ways to integrate all dimensions of diversity across our employees, customers, partners, and communities. Our ultimate goal is to expand opportunities for anyone to imagine, design, and make a better world. http://www.autodesk.com/

About Autodesk Research

Autodesk Research is a team of expert scientists exploring and creating technologies to help improve design and its role in society through high-level customer projects, collaboration with leading research universities worldwide, and publication at world-renowned scientific venues. http://www.autodeskresearch.com/

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience, educational level, and geographic location.


Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging


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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982