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Data Annotation Canada Jobs (NOW HIRING)

Weekday AI

Tax Agent

$20 - $40/hr

USA, Europe, Canada or India) As a Tax Agent and play a key role in ensuring accurate, compliant ... Experience with data annotation or financial data management. Preferred Qualifications * Mid to ...

Weekday AI

Tax Agent

$20 - $40/hr

USA, Europe, Canada or India) Become a Tax Agent with our client and take on an essential role in ... Experience with data annotation or managing financial data. Preferred Qualifications * Mid to ...

Alignerr

Mathematics Expert (Masters/PhDs)

Manhattan, NY · Remote

$46K - $61K/yr

... Canada, UK, Australia, or New Zealand Nice to Have Prior experience with data annotation, data quality assessment, or evaluation systems Background in academic research, technical writing, or ...

Alignerr

Mathematics Expert (Masters/PhDs)

Richmond, VA · Remote

$41K - $55K/yr

... Canada, UK, Australia, or New Zealand Nice to Have Prior experience with data annotation, data quality assessment, or evaluation systems Background in academic research, technical writing, or ...

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Data Annotation Canada information

What is data annotation and what does a data annotation job in Canada involve?

Data annotation is the process of labeling or tagging data, such as images, text, or audio, to make it usable for machine learning and artificial intelligence models. In Canada, data annotation jobs typically involve reviewing and marking up large sets of data to help train AI systems to recognize patterns or make decisions. These roles may require attention to detail, use of specialized software, and sometimes subject matter expertise depending on the type of data being annotated. Data annotation is crucial for improving the accuracy of AI models in applications like self-driving cars, natural language processing, and medical imaging. Many companies in Canada offer remote or in-office positions for data annotation specialists.

What are the key skills and qualifications needed to thrive as a Data Annotation Specialist in Canada, and why are they important?

To thrive as a Data Annotation Specialist in Canada, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a diploma or relevant training. Experience with annotation platforms such as Labelbox or Supervisely, and understanding of data formats like images, text, or audio are commonly required. Strong communication skills, time management, and the ability to follow detailed instructions help individuals excel in this role. These skills ensure high-quality, accurate datasets that are critical for training reliable AI and machine learning models.

What are some common challenges faced by Data Annotation professionals in Canada, and how can they be addressed?

Data Annotation professionals in Canada often encounter challenges such as maintaining high accuracy while working with large volumes of data, adapting to evolving project guidelines, and managing repetitive tasks. Effective communication with project managers and regular training can help address ambiguity in labeling instructions. Additionally, leveraging annotation tools and automated quality checks can streamline workflows, reduce errors, and support sustained productivity.
Infographic showing various Data Annotation Canada job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution.
Project Perseus \u007C Data Quality Analyst - English Speakers (Europe, UK, Canadian and/ or Austral

Project Perseus \u007C Data Quality Analyst - English Speakers (Europe, UK, Canadian and/ or Austral

Welo Data

Mundelein, IL

$38/hr

Full-time

Posted 14 days ago

Job description

Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.

You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output.

Project Details

  • Job Title: Data Quality Analyst
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  • Pay Rate: $38/hour
  • Contract Duration: 1-year contract with possibility of extension

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.

What You’ll Do
  • Support quality and execution across DLA teams, ensuring work meets defined standards at scale
  • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
  • Act as the first line of support for DLAs — answering questions and helping interpret guidelines
  • Help DLAs navigate ambiguity and apply evolving instructions effectively
  • Support onboarding and training of new DLAs through hands-on guidance and coaching
  • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
  • Identify patterns, recurring issues, and edge cases in both human and model outputs
  • Participate in calibrations, team discussions, and stakeholder syncs
  • Contribute to improving guidelines, processes, and overall team performance
  • Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
  • Native-level English speaker from an EU10 country, the UK, Canada, or Australia and a university degree (Bachelor’s or higher).
  • 2–4 years of experience in data annotation, content quality, QA, or related fields
  • Strong ability to interpret and apply complex guidelines with consistency
  • Excellent attention to detail with a high bar for quality
  • Ability to stay consistent while working with evolving guidelines and priorities
  • Experience in AI/ML data workflows or human-in-the-loop evaluation environments
  • Prior experience auditing or reviewing the work of others
  • Familiarity with safety, compliance, or policy-driven content evaluation
Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.