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Remote Data Labeling Analyst Jobs in Toronto, ON

Owl.co

Part-time Data Quality Analyst

Toronto, ON · Remote

CA$20/hr

As a Data Quality Analyst, you will play a pivotal role in leveraging data to ensure the integrity ... This is a remote, part-time role (15-30 hours/week). Responsibilities & Scope: * Conduct ...

Mercor

Security Analyst - Fully Remote

Toronto, ON · Remote

CA$1.7K - CA$2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

Autodesk

Senior Data Analyst

Toronto, ON · On-site +1

Data Analysts play a critical role in shaping GTM focus areas by uncovering insights, influencing ... We are open to remote candidates based in Canada. Responsibilities * Own analytics projects from ...

Mercor

Security Analyst

Toronto, ON · Remote

CA$1.7K - CA$2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

Mercor

Senior Security Analyst

Toronto, ON · Remote

CA$1.7K - CA$2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

Mercor

Information Security Analyst

Toronto, ON · Remote

CA$1.7K - CA$2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

Wand

Product Data Analyst

Toronto, ON · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

Cayenta

(Remote) Support Analyst

Guelph, ON · Remote

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Cayenta

(Remote) Support Analyst

Markham, ON · Remote

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

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All JobsData Labeling Analyst JobsRemote Data Labeling Analyst JobsRemote Data Labeling Analyst Jobs in Toronto, ON

Remote Data Labeling Analyst information

What are the key skills and qualifications needed to thrive as a Remote Data Labeling Analyst, and why are they important?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by Remote Data Labeling Analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are popular job titles related to Remote Data Labeling Analyst jobs in Toronto, ON? For Remote Data Labeling Analyst jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in Toronto, ON look for? The top searched job categories for Remote Data Labeling Analyst jobs in Toronto, ON are:
Remote Data Labeling Analyst jobs near you
Infographic showing various Remote Data Labeling Analyst job openings in Toronto, ON as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.

Data Quality Analyst

Institute for Clinical Evaluative Sciences (ICES)

Toronto, ON • On-site, Remote

CA$68K - CA$78K/yr

Full-time

Retirement, PTO

Posted 22 days ago

Job description

Data. Discovery. Better Health.

ICES is a world-leadinghealth research and analytics institute. With a wealth of data and analytic expertise, we create trusted evidence that has changed health policy and practice and helps ensure better health for all.

Ready to discover more with us? Join our outstanding, collaborative team where your skills, knowledge and curiosity are valued and can change the future of health care.


At ICES, we recognize what matters most to our employees. Some of the great benefits of working at ICES include:

  • Flexible remote work arrangements anywhere in Ontario
  • Competitive Compensation
  • Comprehensive Benefits Program
  • HOOPP Pension Plan (Defined Pension)
  • Employee Assistance Program and Dialogue Well Being Program
  • Generous vacation, float and caregiver days for all employees
  • Education Fund and Dedicated Education Days
  • Holiday Closure
  • Perkopolis Employee Discount Program


Introduction:

ICES is seeking a Data Quality Analyst to join our Data Quality and Information Management (DQIM) department. Reporting to the Manager, Data Quality, the Data Quality Analyst collaborates with ICES researchers in the creation, documentation, and Data Quality Assessment of research-ready data from a variety of sources.


Responsibilities of the position include, but may not be limited to:

  1. Create research-ready, user-friendly, standardized SAS datasets for the ICES Data Repository;
  2. Create and maintain SAS macros and other tools to facilitate and standardize data use;
  3. Create and maintain documentation of data, macros, and processes;
  4. Act as a resource on selected data-related issues to the ICES research community;
  5. Assess and report on data quality issues, and to continually enhance the ICES data infrastructure;
  6. Gain and share expertise in specific data holdings;
  7. Participate actively in the ICES Data Issues Group;
  8. Other duties as may be assigned within the scope of this position.

Knowledge, skills, and abilities required:

  • Master's degree in a quantitative discipline such as biostatistics, health informatics, computer science or health services research or related field; or equivalent;
  • Advanced knowledge of SAS and other data management tools, at the "Certified SAS Advanced Programmer" level;
  • Facility with macro writing and SQL;
  • Creativity in developing data quality measures, and initiative in resolving data anomalies;
  • Demonstrated attention to detail;
  • Strong communication skills and an ability to convey complex concepts are essential;
  • Ability to integrate data and research concepts, and to exercise good judgment;
  • Knowledge of the Ontario health care system would be an asset;
  • Proficiency in using Python to process and analyze data from SAS and SQL databases is an asset;
  • Experience applying natural language processing (NLP) techniques to analyze free-text data would be an asset.


This full-time opportunity is for an existing vacancy at ICES Central. The annual salary range for this role is $68,000 - $78,000. Successful candidate must reside within Ontario while working under our remote flex model and be able to come into the office when required from time to time.

Security clearance may be required.

Interested candidates should submit their resume and cover letter detailing how their knowledge, skills and abilities match the scope of this position.

ICES is committed to ensuring equity in employment. Our goal is to attract, develop, and retain highly talented employees from diverse backgrounds allowing us to benefit from a wide variety of experiences and perspectives. ICES strongly encourages applications from candidates from equity-deserving communities including but not limited to First Nations, Metis, Inuit, Black and racialized, 2SLGBTQIA+, and persons with visible and non-visible disabilities.

ICES is committed to providing accessible employment practices, in compliance with the Accessibility for Ontarians with Disabilities Act, 2005 (AODA). Applicants are asked to make accommodation requests to ICES and we will make every effort to ensure that accommodation requests are met throughout the recruitment process.

We thank all applicants for their interest in working at ICES. Due to the volume of applications received, only applicants being considered for the position will be contacted for further discussions.

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