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Data Annotation Law Jobs in Toronto, ON (NOW HIRING)

Waabi

Senior / Staff Software Engineer, Web Tools

Toronto, ON · On-site +1

CA$141K - CA$249K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... tools, data annotation tools, dataset curation tools, result comparison tools, and more ... law. If reasonable accommodation is needed to participate in the job application or interview ...

EvenUp

Product Manager, AI Entities

Toronto, ON · Remote

$177K - $209K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... for law firms to rely on. If you've built ML/LLM-powered data pipelines, love the challenge of ... Drive decisions on model performance, annotation strategy, and integration with continuous ...

All JobsData Annotation Law JobsData Annotation Law Jobs in Toronto, ON

Data Annotation Law information

What is data annotation law?

Data Annotation Law refers to the legal frameworks and regulations that govern the process of labeling, tagging, or categorizing data for use in machine learning and artificial intelligence applications. These laws address issues such as data privacy, intellectual property, consent, and the ethical use of annotated data. Data Annotation Law ensures that organizations handle data responsibly and comply with national and international standards when using human annotators or automated systems. It is crucial for companies to understand these legal requirements to avoid potential legal liabilities and protect the rights of data subjects.

What are the key skills and qualifications needed to thrive as a data annotation specialist?

To thrive as a Data Annotation Specialist, you need keen attention to detail, strong analytical skills, and a basic understanding of data labeling protocols, often supported by a high school diploma or relevant training. Familiarity with data annotation tools like Labelbox, Supervisely, or CVAT, as well as knowledge of data privacy regulations, is typically required. Excellent communication, time management, and consistency are vital soft skills for collaborating with teams and maintaining annotation quality. These skills ensure accurate, reliable data labeling, which is critical for developing effective machine learning models.

What are some common challenges faced by professionals working in data annotation for the legal industry, and how can they be addressed?

Professionals in data annotation law often encounter challenges such as interpreting complex legal language, ensuring consistency and accuracy in labeling, and maintaining confidentiality with sensitive information. Collaboration with legal experts and ongoing training in legal terminology are essential to address these issues. Additionally, many organizations implement rigorous quality assurance processes and utilize annotation guidelines to help annotators navigate ambiguous cases and improve overall data quality.

What is the difference between Data Annotation Law vs Data Labeler?

AspectData Annotation LawData Labeler
CredentialsLegal knowledge, compliance certificationsBasic training, attention to detail
Work EnvironmentLegal offices, compliance departmentsData annotation platforms, remote or office settings
Industry UsageLegal, AI compliance, data privacyAI training, machine learning datasets
Search & ComparisonLegal roles, compliance in data annotationData labeling, data annotation jobs

Data Annotation Law involves legal expertise ensuring data annotation processes comply with laws and regulations, often requiring legal certifications. Data Labelers focus on annotating data for AI models, typically with basic training. While both roles work within data annotation, Data Annotation Law emphasizes legal compliance, whereas Data Labelers concentrate on data preparation for machine learning.

What are popular job titles related to Data Annotation Law jobs in Toronto, ON?

For Data Annotation Law jobs in Toronto, ON, the most frequently searched job titles are:

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

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

Data Annotation Law jobs near you
Infographic showing various Data Annotation Law job openings in Toronto, ON as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution.

Senior / Staff Software Engineer, Web Tools

Waabi

Toronto, ON • On-site, Remote

CA$141K - CA$249K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 8 days ago

Job description

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to "drive" safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.
 
With offices in Toronto and San Francisco, 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
 
On Tools, we build software tools that solve Waabi-specific problems and accelerate development. We have a relatively unique set of skills within the software organization that lets us build those tools. The Tools team owns and maintain services that have been built. In this team you will improve on our existing suite of services, and expanding it with new tools.
 
You will...
- Lead technical and architecture discussions, collaborating with Researchers and Engineers.
- Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.
- Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.
- Build and maintain interactive web tools including interactive simulation, custom labelling tools, data annotation tools, dataset curation tools, result comparison tools, and more.
 
Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering or related engineering disciplines.
- 5+ years of industry experience developing production quality software.
- Experience with modern web technologies/libraries for building responsive web applications. Examples: TypeScript, React, or similar languages and tools.
- Experience with a variety of backend technologies and languages. Examples:  Go, Python, Rust, C++.
- Experience with cloud infrastructure such as AWS or GCP.- Ability to learn new technologies quickly.
- Empathy for the people who will use the tools you create and maintain.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
 
Bonus/ nice to have: 
- Experience working with container and cloud infrastructure and managing infrastructure-as-code.
- Experience with 3D visualization (WebGL) / real-time interactive systems.
- Experience with web visualization libraries such as D3.js, three.js, or similar.
- Previous experience or passion in UX/design.
- Experience with software development tools including build system, version control, continuous integration, containers, packaging, profiling, debugging, code review, linting, test automation, and test coverage tools.
- Experience in ML and self-driving.
- Experience working with robotics or machine learning research teams.
- Experience working in an Agile/Scrum environment.
 
The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi'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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