Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Data Labeling Specialist: Remote Contract
ON · On-site +1
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Data Labeling Specialist: Remote Contract
ON · On-site +1
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Data Labeling Specialist: Remote Contract
Ottawa, ON · On-site +1
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Data Labeling Specialist: Remote Contract
Ottawa, ON · On-site +1
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Data Labeling Specialist: Remote Contract
Thorold, ON · On-site +1
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Data Labeling Specialist: Remote Contract
Thorold, ON · On-site +1
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Data Labeling Specialist: Remote Contract
Ajax, ON · On-site +1
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Data Labeling Specialist: Remote Contract
Ajax, ON · On-site +1
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Data Labeling Specialist: Remote Contract
Milton, ON · On-site +1
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Data Labeling Specialist: Remote Contract
Milton, ON · On-site +1
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Join a team helping build the data foundation behind better technology. Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.
Data Labeling information
How much do data labelers make?
Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.
How can I get started in data labeling?
To get started in data labeling, you should develop basic computer skills and familiarize yourself with common labeling tools or platforms. Many entry-level positions require attention to detail and sometimes a short training or tutorial before beginning work.
What are the key skills and qualifications needed to thrive in data labeling, and why are they important?
To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.
What is data labeling?
A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.
What are the typical day-to-day responsibilities of a data labeling professional?
A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.
What are data labeling jobs?
Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a controlled environment.
Is data labeling a good career?
Data labeling is a growing field within data annotation and machine learning, often involving tasks like image, text, or audio annotation. It can offer entry-level opportunities with flexible schedules, but typically requires attention to detail and familiarity with labeling tools. Career advancement may depend on gaining technical skills or moving into related roles such as data analysis or machine learning engineering.
What are the most commonly searched types of Data Labeling jobs in Ontario? The most popular types of Data Labeling jobs in Ontario are:
What are popular job titles related to Data Labeling jobs in Ontario? For Data Labeling jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Labeling jobs in Ontario look for? The top searched job categories for Data Labeling jobs in Ontario are:
Full-time
Posted 11 days ago
Job description
What You'll Do
Evaluate outputs from AI models, text, images, video, and documents against detailed criteria. Assess quality, spot errors and inconsistencies, and write clear, well-reasoned justifications for your judgments. Every evaluation you complete helps these systems perform better in the real world.
Who We're Looking For
People who write clearly, think critically, and can back up a judgment call with a clear explanation. This role suits people who've done work built around precise written evaluation, UI/UX design, graphic design, photography, video production, editorial or research work, or writing technical specs and requirements.
Qualifications
Technical Requirements
What We Offer
Some of our most reliable, high-performing contributors have grown into roles where they guide and support others, with compensation that reflects the added responsibility. These opportunities depend on performance and how the work is evolving, and we're glad to support people who are a strong fit.
Ready to apply? Join a team helping build the data foundation behind better technology.
Workada is an Equal Opportunity Employer. We welcome applicants from all backgrounds.