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

Hitachi

ALM Scripting & Reporting Intern

Toronto, ON · Hybrid

CA$23 - CA$30/hr

  • PTO

... technology. From the multi-cultural strength of our global organisation to the sustainable and ... Job Title: Data and Business Intelligence Analyst, Intern Rail Pass Type: Internship/Co-op ...

HSO Group B.V.

Marketing Intern

Toronto, ON

... leading technology ecosystems. Key Responsibilities * Assist with creating, drafting, and ... Help maintain CRM and marketing data by supporting list building, contact updates, data cleanup ...

Léger

Research Intern

Toronto, ON · On-site

As a Research Intern, you will gain hands-on experience in both quantitative and qualitative ... technology to support research, data analysis, and productivity. Additional Information For any ...

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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 hiring 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 actually pay?

Data annotation technicians are paid for their work, with wages varying based on experience, project complexity, and platform. Many entry-level roles pay hourly or per task, and some companies offer full-time or freelance opportunities with competitive rates. Skills in annotation tools and attention to detail can influence earning potential.

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 an intern data annotation tech?

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 skills like image or text labeling using annotation tools. Basic computer literacy and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data quality standards can improve performance in this role.

What are the key skills and qualifications needed to thrive as an intern data annotation tech?

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:

What job categories do people searching Intern Data Annotation Tech jobs in Toronto, ON look for?

The top searched job categories for Intern Data Annotation Tech jobs in Toronto, ON are:

Intern Data Annotation Tech jobs near you
Infographic showing various Intern Data Annotation Tech job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Intern, Data Engineering (Fall 2026) 8 month OR 4 month

Forum Asset Management

Toronto, ON • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Salary:

Forum Asset Management Intern, Data Engineering (Fall 2026) 8-month OR 4-month


Location:In-Office, 181 Bay Street, Toronto


Work Schedule: Full-time, in-office (5 days/week) from September 2026


About Forum:


Delivering Extraordinary Outcomes through Investment.


Forum Asset Management is a North American investor, developer, and asset manager with a 29-year track record of delivering long-term value through real estate, private equity, and infrastructure investments. We are a purpose-driven firm committed to sustainability, responsible investing, and making a positive impact in the communities where we invest.


With over $3 billion in AUM, Forum is one of Canada's most dynamic investment platforms. In 2024, we completed the countrys largest real estate transaction through our acquisition of Alignvest Student Housing, making us the largest owner and developer of Purpose-Built Student Accommodation (PBSA) in Canada. Our open-ended Real Estate Income and Impact Fund (REIIF) is now over $2.4 billion, backed by a $3.5 billion development pipeline that spans coast to coast.


Forum is also building one of the fastest-growing self-storage platforms in Canada, focused on acquiring, developing, and operating institutional-grade storage facilities in undersupplied urban markets.


Position Overview:

Forum Asset Management is looking for a Data Engineer Intern to help build and scale Forums enterprise data platform using modern cloud technologies.


Youll work on ingesting, transforming, and organizing data from a variety of sources to support analytics, reporting, and AI-driven initiatives. This role is ideal for someone interested in the full data lifecycle - from raw data to business insights.
This is a hands-on, in-office role with exposure to real-world data challenges in investment management and real estate. This posting is for an existing vacancy at Forum.


Key Duties and Responsibilities:

  • Assist in building and maintaining data pipelines (ETL/ELT)
  • Ingest and clean data from internal and external sources
  • Support development of data models and structured datasets
  • Work with Azure tools such as Data Factory, Synapse, or Fabric
  • Help optimize data workflows for performance and reliability
  • Collaborate with software developers and business teams on data needs


Candidate Profile:

    • Currently pursuing a degree in Computer Science, Data Science, Engineering, or related field
    • Proficiency in Python and/or SQL
    • Understanding of data structures and basic data modeling concepts
    • Interest in data engineering, analytics, or big data systems
    • Strong analytical and problem-solving skills


    Nice to Have:

    • Exposure to cloud platforms (Azure preferred)
    • Familiarity with ETL pipelines or data processing tools
    • Interest in AI/ML or working with large datasets


    Invest in Yourself:

    • Compensation We are committed to supporting your success and are offering a salary range of $900/week CAD for this position.
    • Learning and Development Opportunities We believe in Best Idea Wins and foster an entrepreneurial environment where your input has real impact.
    • Diverse & Inclusive Team We celebrate diverse perspectives and are committed to maintaining the highest standards of equity and inclusion.
    • Quarterly All Teams Sessions with your colleagues across the business to share insights, celebrate success, and spotlight culture.
    • Lunch & Learns Regular opportunities to connect, learn, and exchange knowledge with peers across the business.


    Artificial Intelligence (AI) Usage:
    Forum uses AI tools to support the screening and assessment of applications for this role. These tools inform, but do not replace, the judgment of our human hiring team, who make all final hiring decisions.


    Forum Commitment:

    At Forum, we encourage diversity. We are committed to an inclusive workplace that reflects our belief that diversity is central to building a high-performing team. Forum is an equal opportunity employer. We are committed to providing accessible employment practices. Should you require an accommodation during any phase of the recruitment process, please let the recruitment team knowrecruiting@forumam.com