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Internship Remote Data Labelling Jobs in Toronto, ON

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 ...

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 ...

Remote (with hybrid options in Toronto) Compensation: Hourly ($32) About Us: At Vosyn, we embrace ... Work with data structures (e.g., arrays, linked lists, trees, graphs) and implement algorithms for ...

Showing results 41-60

Internship Remote Data Labelling information

What is an internship remote data labelling?

An Internship Remote Data Labelling job involves reviewing and tagging data—such as images, text, or audio—from a remote location to help train machine learning algorithms. Interns in this role classify, annotate, or categorize raw data according to specific guidelines provided by the employer or project. This work is crucial for improving the accuracy of AI models, as properly labeled data enables better learning outcomes. Remote data labelling internships are ideal for students or recent graduates looking to gain experience in AI, data science, or related fields while working from anywhere.

What are the key skills and qualifications needed to thrive as an internship remote data labelling professional?

To excel as an Internship Remote Data Labelling professional, you need strong attention to detail, basic computer literacy, and familiarity with data annotation processes, often requiring at least a high school diploma or equivalent. Experience with data labelling platforms such as Labelbox or Supervisely, and understanding file formats like CSV or JSON, are commonly expected. Reliability, time management, and effective communication are important soft skills for remote collaboration and meeting deadlines. These competencies ensure high-quality, consistent data labelling that supports accurate machine learning model development.

What are some typical challenges faced by remote data labelling interns, and how can they be addressed?

Remote data labelling interns often encounter challenges such as managing repetitive tasks, maintaining high accuracy, and communicating effectively with team members across different time zones. To address these, it's helpful to establish a structured daily routine, regularly review quality guidelines, and use collaboration tools like Slack or Teams to stay connected. Seeking timely feedback from supervisors and participating in virtual team check-ins can also improve both efficiency and data consistency.

What is the difference between Internship Remote Data Labelling vs Data Annotation Specialist?

AspectInternship Remote Data LabellingData Annotation Specialist
CredentialsTypically students or entry-level with basic computer skillsOften requires experience or training in data annotation tools
Work EnvironmentRemote, flexible hours, internship settingRemote or on-site, professional setting
Employer & IndustryTech companies, AI startups, research projectsAI, machine learning, data services companies
Search & Comparison IntentLearning opportunity, entry-level roleProfessional data labeling work, career development

Internship Remote Data Labelling typically involves entry-level, temporary roles focused on training and learning, often suitable for students. Data Annotation Specialists are more experienced professionals performing detailed labeling tasks for ongoing projects. While both roles involve data labeling, the internship emphasizes skill development, whereas the specialist role centers on professional expertise.

What are popular job titles related to Internship Remote Data Labelling jobs in Toronto, ON?

For Internship Remote Data Labelling jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Internship Remote Data Labelling jobs in Toronto, ON look for?

The top searched job categories for Internship Remote Data Labelling jobs in Toronto, ON are:

Infographic showing various Internship Remote Data Labelling job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Technical Product Analyst - Master-Level Internship

Vosyn

Etobicoke, ON • On-site, Remote

$32/hr

Full-time

Re-posted 18 days ago


Job description

Job Title: Technical Product Analyst - Master-Level Internship

Level: Master's Level Internship

Department : Product Development & Management

Status: Full-time (30-40 hours per week) & Part-time (Minimum 15 hours a week commitment)

Duration: Equivalent to minimum 520 Hours (or 3 months minimum)

Work location: Remote (with hybrid options in Toronto only)

Compensation: Hourly ($32)

The Vosyn internship is unique. Remuneration is equivalent to $32.00 CAD per hour payable in common shares of the Corporation at the then fair market value. For greater clarity, NO cash in-hand (in hourly rate or salary) will be paid to the Intern. Instead, Vosyn being an AI start-up, the upside is in potential future value of said shares based on the hours worked, billed and approved.

Company Overview: At Vosyn, we embrace the exciting, game-changing world of Artificial Intelligence, driving innovation and pioneering impactful projects across various industries. We believe in fostering a culture of flexibility, continuous improvement, and solution-focused strategies. Here, every idea is welcomed, nurtured, and has the potential to scale to new heights. Currently, we're at the forefront of a significant IPO endeavor, truly a unicorn in the making. We invite you to be part of our journey and leave your imprint on the future of AI.

About the Role:
A Technical Product Analyst bridges data analysis, software engineering, and product strategy. The role exists to translate business needs into detailed
technical requirements, surface data-driven insights that sharpen the roadmap, and ensure features ship with the right quality and performance
across the full product lifecycle.

Key Responsibilities:

  • Define user stories, acceptance criteria, and specs; manage and groom the Agile backlog
  • Analyze usage data, logs, and feedback to identify issues and opportunities
  • Conduct technical and competitive research to guide roadmap trade- offs
  • Support product lifecycle from ideation to post-release maintenance
  • Reproduce defects, trace root causes, and drive resolution
  • Write SQL/scripts to validate data, test integrations, and check production behavior
  • Communicate clearly across technical and business teams


        About You:

        • Pursuing or recently completed Master's in Computer Science, Data Science, Engineering, or related field.
        • Proficient in SQL and Python/R; experienced with dashboards (Looker, Tableau, Power BI).
        • Agile familiarity with user stories, backlog grooming, and sprint cycles.
        • Comfortable exploring AI models and prototyping rapidly.
        • Clear communicator with a bias for action, startup adaptability, and impact focus.
        • Above all, you're motivated by measurable impact. Shipping a feature, watching dashboards paint the story, then iterating based on real-user signals is why you get up in the morning.
        • Prompting & Agentification or Automation skills are good to have

            We believe exceptional talent often emerges from diverse paths. If you possess a profound curiosity, a genuine passion for continuous personal and professional growth, and a strong desire to apply your unique abilities to create significant impact within our team, we strongly encourage you to apply-even if your background doesn't align perfectly with every single qualification.

            Why Join Us:

            • Be part of the invigorating journey of a start-up transitioning to an IPO.
            • Engage directly with senior management and strategic advisory board members.
            • Enhance your CV with a rich array of experiences unique to Vosyn and AI Venture Lab.
            • Gain hands-on experience contributing to projects that drive growth and make a lasting impact in a fast-paced startup environment.

            DEI and Workplace Safety:

            At Vosyn Inc., we are committed to fostering a diverse, equitable, and inclusive workplace where every employee feels valued and supported. We believe that diversity of thought, background, and experience enriches our company culture and enhances innovation. We are an equal-opportunity employer and encourage candidates from all walks of life to apply. As part of our commitment to creating a safe and healthy work environment, we prioritize workplace safety, adhering to all relevant regulations and promoting a culture of responsibility. We believe that a safe and inclusive workplace is essential for the well-being and success of our team members. Join us in building a workplace that values diversity, prioritizes equity, and ensures the safety and well-being of every individual.

            Recruitment Process:

            1. Application Submission: Candidates are invited to submit their resumes and cover letters through our career portal.
            2. Written Questionnaire: Selected candidates will receive a set of 10 written questions to assess their fit and technical knowledge..
            3. Video Questionnaire: Candidates who successfully pass the written assessment will be asked to answer 10 additional questions to be submitted in a video format to further evaluate their skills and cultural fit. The ability to video record your answers will be required.
            4. Evaluation: Our team will review the responses to both questionnaires. Candidates who meet our criteria will be invited to the next stage.
            5. Orientation Session: Successful candidates will be invited to participate in an orientation session where they will learn more about Vosyn, our projects, and what to expect during the internship. After this session, you will be given the opportunity to opt-in if you believe that this internship is for you.

            Please note that only candidates who apply through our website will be contacted.

            At Vosyn, we hire on a rolling basis, so we encourage you to apply as soon as possible. While we operate with flexibility, we also cater to academic semester work terms to align with school schedules, ensuring a smooth transition for students joining us.

            Be a part of a fast-growing global organization that values diversity of thought, experience, and culture. Our interns come from top universities worldwide, and we invite you to contribute, learn, and grow with us on this exciting journey.


            Apply Now:
            Vosyn Careers


            Employment Type: FULL_TIME