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Intern Data Annotation Tech Jobs in Ontario (NOW HIRING)

Mercor

Network Engineer - Data Annotation

Toronto, ON · Remote

CA$50 - CA$70/hr

Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation ... Proficiency in Wi-Fi/wireless technologies, including Cisco WLC , Aruba , Meraki , 802.1X/RADIUS ...

Hitachi

ALM Scripting & Reporting Intern

Toronto, ON · Hybrid

CA$23 - CA$30/hr

... 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 ...

Rackspace Technology

CA$153K - CA$244K/yr

Being an experienced technologist with technical depth and breadth, aided with strong interpersonal ... Be responsible for all phases of the project from problem definition, data annotation, model ...

Rackspace Technology

CA$153K - CA$244K/yr

This range is provided by Rackspace Technology. Your actual pay will be based on your skills and ... Be responsible for all phases of the project from problem definition, data annotation, model ...

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 ...

Bits In Glass

Intern

Toronto, ON · On-site +1

... technology solutions using an Agile approach. You will be customer oriented and a team player to ... Work with data engineers and assist in data acquisition, preparation and cleansing from various ...

OFNTSC

Infrastructure Specialist Intern

Brantford, ON · On-site

CA$25 - CA$28/hr

Conduct research on emerging construction technologies, methodologies, and industry best practices ... inspection data, and evaluation documentation in accordance with established procedures and ...

ESAB

Logistics Support Intern

Mississauga, ON · On-site

... technology and gas control solutions. Our rich history of innovative products, workflow solutions ... Analyze supply chain data and prepare reports on key performance metrics. Coordinate with suppliers ...

New

OFNTSC

Infrastructure Specialist Intern

Brantford, ON

$25 - $28/hr

Conduct research on emerging construction technologies, methodologies, and industry best practices ... inspection data, and evaluation documentation in accordance with established procedures and ...

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All JobsIntern Data Annotation Tech JobsIntern Data Annotation Tech Jobs in Ontario

Intern Data Annotation Tech information

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.

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 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.

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.

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 skills 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 job performance over time.

Does data annotation tech actually pay?

Data annotation technicians are paid for their work, with wages typically ranging from minimum wage to higher rates depending on experience, complexity of tasks, and the employer. Payment is usually hourly or per task, and some roles may require basic skills in data labeling tools or software. Compensation varies by company and location but generally provides a reliable income for entry-level positions.

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. Many positions are entry-level and may not require extensive experience, making the application process relatively accessible for beginners. However, competition can vary depending on the company and location.

What are the most commonly searched types of Data Annotation Tech jobs in Ontario?

The most popular types of Data Annotation Tech jobs in Ontario are:

What are popular job titles related to Intern Data Annotation Tech jobs in Ontario?

For Intern Data Annotation Tech jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Intern Data Annotation Tech jobs in Ontario look for?

The top searched job categories for Intern Data Annotation Tech jobs in Ontario are:

What cities in Ontario are hiring for Intern Data Annotation Tech jobs?

Cities in Ontario with the most Intern Data Annotation Tech job openings:

Intern Data Annotation Tech jobs near you
Infographic showing various Intern Data Annotation Tech job openings in Ontario as of August 2026, with employment types broken down into 30% Full Time, 53% Part Time, and 17% Contract. Highlights an 68% In-person, and 32% Remote job distribution.

Network Engineer - Data Annotation

Toronto, ON • Remote

Mercor
See more jobs at Mercorexternal

CA$50 - CA$70/hr

Full-time

Posted 15 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: Remote
Commitment: 30–40 hours/week

Role Responsibilities

  • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
  • Label and classify network behaviors, issues, anomalies, and incident patterns.
  • Help define schemas and structure for large-scale data pipelines that downstream ML models will train on.
  • Collaborate with client teams to ensure data accuracy and relevance.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • Experience as a Level 3 / Tier 3 / Principal Support Engineer with on-call rotation, RCAs, and final escalations.
  • Hands-on experience with end-customer enterprise networks, including switches, APs, and firewalls.
  • Proficiency in Wi-Fi/wireless technologies, including Cisco WLC, Aruba, Meraki, 802.1X/RADIUS, and wireless troubleshooting.
  • Ability to perform packet-level troubleshooting with Wireshark, tcpdump, and SPAN captures.
  • Authorization to work in the US or Canada without sponsorship.

Compensation & Legal

  • 1099 contract paid to a personal account.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.