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Home Based Labelling Jobs in Ontario (NOW HIRING)

Waabi

Senior Software Engineer, Auto Labelling

Toronto, ON · On-site +1

CA$170K - CA$220K/yr

Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with ... Flexible hours and Work from Home support. * Daily drinks, snacks and catered meals (when in office)

The Home Depot Canada

CA$18.85 - CA$20.35/hr

Read, interpret, and execute action based on findings. * Maintain bay service records and other ... Home Depot Canada uses Artificial Intelligence (AI) technology to assist with the screening and ...

The Home Depot Canada

CA$18.60 - CA$20.10/hr

Read, interpret, and execute action based on findings. * Maintain bay service records and other ... Home Depot Canada uses Artificial Intelligence (AI) technology to assist with the screening and ...

The Home Depot Canada

CA$18.60 - CA$20.10/hr

Read, interpret, and execute action based on findings. Maintain bay service records and other ... Home Depot Canada uses Artificial Intelligence (AI) technology to assist with the screening and ...

The Home Depot Canada

CA$18.85 - CA$20.35/hr

Read, interpret, and execute action based on findings. Maintain bay service records and other ... Home Depot Canada uses Artificial Intelligence (AI) technology to assist with the screening and ...

City of Toronto

LAUNDRY SERVICES WORKER

Toronto, ON · On-site

CA$26.83 - CA$29.23/hr

... homes as they arise. The City's Seniors Services and Long-Term Care Division supports Toronto ... Attaches and removes labels from residents' clothing, mends and performs minor repairs (sews by ...

Umusic

Marketing Manager

Toronto, ON · Hybrid

Home to the most comprehensive catalogue of recordings and songs across every musical genre, UMC is ... Universal Music Canada is part of Universal Music Group, the world leader in music-based ...

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All JobsHome Based Labelling JobsHome Based Labelling Jobs in Ontario

Home Based Labelling information

See Ontario salary details

$7

$32

$71

How much do home based labelling jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for home based labelling in Ontario is $32.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $42.07 per hour, depending on experience, location, and employer.

What is a home based labelling?

A Home Based Labelling job involves tagging, categorizing, or labeling data, products, or images from home. Tasks may include adding descriptions to images, labeling product packages, or sorting data for machine learning models. These jobs are often part of remote work opportunities offered by companies looking to organize and categorize information efficiently. No specialized skills may be required for entry-level roles, but attention to detail and consistency are crucial. Pay can vary based on the complexity and volume of the work assigned.

What does a home based labelling do?

In a Home Based Labelling role, your day usually involves reviewing instructions provided by your employer, accurately applying labels to products or data files, and maintaining clear records of completed work. You may be required to receive materials shipped to your home, use specified labelling software, or upload documentation via an online portal. Communication with supervisors is often handled through email or project management tools to address any questions or updates. The work structure is generally independent, allowing for a flexible schedule, but adhering to deadlines and quality standards is crucial for ongoing success. This role is ideal for individuals who enjoy detail-oriented, repetitive tasks in a self-managed environment.

What are the key skills and qualifications needed to thrive in home based labelling, and why are they important?

To thrive in a Home Based Labelling role, attention to detail, strong organizational skills, and the ability to follow precise instructions are essential, often requiring a high school diploma or equivalent. Familiarity with basic computer applications, labelling software, or inventory management systems is typically advantageous. Excellent time management, self-motivation, and reliability are key soft skills that help individuals excel when working independently from home. These abilities ensure accurate completion of tasks, efficient workflow, and dependability in a remote setting.

What are popular job titles related to Home Based Labelling jobs in Ontario?

For Home Based Labelling jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Home Based Labelling jobs in Ontario look for?

The top searched job categories for Home Based Labelling jobs in Ontario are:

Home Based Labelling jobs near you
Infographic showing various Home Based Labelling job openings in Ontario as of August 2026, with employment types broken down into 79% Full Time, 13% Part Time, and 8% Contract. Highlights an 87% In-person, 8% Hybrid, and 5% Remote job distribution, with an average salary of $67,020 per year, or $32.2 per hour.

Software Engineer, Labelling, Data & Automation

Waabi

Toronto, ON • On-site, Remote

CA$127K - CA$225K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 16 days ago

Key responsibilities

  • Build pipelines, tools, and workflows to accelerate the development of AI-first self-driving technology.

  • Own the process, criteria, and tooling for efficiently finding interesting and relevant data across large datasets.

  • Design and manage the deployment of data solutions to deliver high-quality labeled data for machine learning teams.

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology.  The Labelling & Data Automation team plays a critical role in Waabi's training pipeline.  We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers.
 

You will..

- Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator. 

- Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected

- Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system

- Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects

- Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement

- Deploy open-set / embedding models to our production environment - empowering new search and curation modalities

- Champion engineering excellence, ensuring high-quality, well structured, and tested code.

- Contribute to project roadmap planning, prioritization, and delivery.

 

Qualifications: 

- 4+ years of industry experience.

- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.

- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.  

- A willingness and ability to learn new skills, technologies, and software libraries as required. 

- Strong experience with data pipelines for large-scale processing and analysis.

- Strong communication and organizational skills 

- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.

- Open-minded and collaborative team player with the willingness to help others.

- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus Points:

- Experience with ML pipelines, including dataset curation, labelling, training and evaluation. 

- Previous experience in self-driving technology or related fields.

- Familiar with linear algebra (projections, transforms) and 3D geometry.

- Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).

- Experience with with front end development

- Experience working with open-set / embedding models and deploying them in a production setting

- Experience working with infra as code (Terraform, CloudFormation, etc)

The US yearly salary range for this role is: $127,000 - $225,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.


Perks/Benefits:
  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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