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

Generac

Intern Data

Toronto, ON · On-site +1

CA$29 - CA$40/hr

We continue our pursuit to create technology that brings peace of mind into the home and allows ... We are looking for a Data Science Intern for the Fall 2026 term. How You'll Make an Impact:

Segal Group

Actuarial Co-op/Intern

Toronto, ON · Hybrid

CA$18 - CA$25/hr

... technology skills contributing to the development of solutions to challenging client issues. The ... Reviewing and analyzing work products including plan data and financial statements. * Providing ...

Segal Group

Actuarial Co-op/Intern

Toronto, ON · Hybrid

CA$18 - CA$25/hr

... technology skills contributing to the development of solutions to challenging client issues. The ... Reviewing and analyzing work products including plan data and financial statements. * Providing ...

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All JobsIntern Data Annotation Tech JobsIntern Data Annotation Tech Jobs in Toronto, ON

Intern Data Annotation Tech information

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. The application process is often straightforward, with many companies offering entry-level positions that do not require extensive experience or certifications.

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 can range from minimum wage to above average, depending on experience and location. Entry-level roles often pay around $10 to $15 per hour, with higher rates for skilled annotators or those working on specialized projects. Compensation can also include flexible schedules and remote work options.

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, with tasks often performed remotely or in a supervised environment.

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.

Can I do data annotation with no experience?

Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach basic annotation tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data labeling standards can improve performance over time.

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.
What are popular job titles related to Intern Data Annotation Tech jobs in Toronto, ON? For Intern Data Annotation Tech jobs in Toronto, ON, the most frequently searched job titles are:
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Intern Data Annotation Tech jobs near you
Infographic showing various Intern Data Annotation Tech job openings in Toronto, ON as of July 2026, with employment types broken down into 2% Locum Tenens, 36% Full Time, 25% Part Time, 1% Contract, 35% Nights, and 1% Summer. Highlights an 53% Physical, 4% Hybrid, and 43% Remote job distribution.
Intern Data

Intern Data

Generac

Toronto, ON • On-site, Remote

CA$29 - CA$40/hr

Full-time

Posted 3 days ago

Generac Power Systems rating

7.0

Company rating: 7.0 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

310th of 433 rated machine equipment manufacturers

Job description

Hi, weareecobee.

ecobee introduced the world's first smart Wi-Fi thermostat to help millions of consumers save money, conserve energy, and bring home automation into their lives. That was just the beginning. We continue our pursuit to create technology that brings peace of mind into the home and allows people to focus on the moments that matter most. We take pride in making a meaningful difference to the environment, all while being part of the exciting, connected home revolution.

In 2021, ecobee became a subsidiary of Generac Power Systems. Generac introduced the first affordable backup generator and later created the category of automatic home standby generator. The company is committed to sustainable, cleaner energy products poised to revolutionize the 21st century electrical grid. Together, we take pride in making a meaningful difference to the environment.

Why we love to do whatwe do:

We're helping build the world of tomorrow with solutions that improve everyday life while making a positive impact onthe planet. Ourproducts and serviceswork in harmonytoprovide comfort, efficiency, and peace of mind for millions of homes and businesses. While we're proud of what we've done so far, there's still a lot we can do-and you can be part of it.

Join our extraordinary team.

We're a rapidly growing global tech company headquartered in Canada, in the heart of downtown Toronto, with an office in Leeds, UK, and remote ecopeeps in the US. We get to work with some of North America and UK's leading professionals. Our colleagues are proud to bring their authentic selves to work, confident that what we do is grounded in a greater purpose. We're always looking for curious, talented, and passionate people to join our team.

The Role:

Our Data Science team analyzes data from all of our ecobee products and uncovers hidden meanings behind the various points of data.

We are looking for a Data Science Intern for the Fall 2026 term.

How You'll Make an Impact:

  • Participate in building complex and intelligent features in our ecosystem of smart home devices that combine a variety of sensors with machine intelligence to provide an omni-present assistant for a smart home.
  • Contribute to a small and growing team that makes big impact in the life of thousands of people and enables technologies that saves energy and the environment.
  • Play with the latest and greatest in big data tools and technologies

What You Bring to the Table:

Maybe you're creating software or tools to simplify the lives of others? Or rather analyzing how they work and the meaning behind their data?

  • You are currently a full-time student in a technical or quantitative discipline - Computer Science, Engineering, Applied Math etc.
  • Experience with programming languages Python, Java, C++
  • Experience using data and machine learning to solve real-world problems
  • Basic familiarity with SW Engineering best practices
  • Experience with data engineering tools like Dataflow/Spark is a plus
  • Just so you know: the hired candidate will be required to complete a background check.

Convinced you'll be able to make an impact? We'd love to hear from you.

What can you expect as an ecobee student?

  • The chance to meet and work with co-ops across all teams at ecobee
  • The opportunity to work in a fresh, dynamic, and ever-growing industry that is the SmartHome and IoT space
  • The visibility into a company that has an interesting mix of hardware and software consumer-facing businesses
  • The ability to make an environmental impact, both in your day job and outside the 9-5 with programs like ecobee acts!
  • Opportunities to learn and grow with our in-house learning enablement team, #ThinkLab
  • Small collaborative teams where you can impact both product and culture
  • Bi-monthly all company town halls
  • Monthly Lightning Talks, and the opportunity participate in them
  • The target pay range for this position is $29-$40 CAD per hour.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."

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