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Data Labeling Jobs in Manitoba (NOW HIRING)

Labeling select workorders under supervision * Accurate Data entry of all Chain of Custody information into internal Laboratory Information Management System (LIMS); * Provides assistance and ...

(CAN) Pharmacy Assistant

Winnipeg, MB ยท On-site

CA$17.60 - CA$23.10/hr

Data Entry; Price Check; Patient Information Entry/Update; Competent interpretation and processing ... labeling and organizing for pharmacist checking, gaining necessary approvals for verbal refills ...

Print labels and prepare required documentation * Process broker returns and return-to-clients shipments * Prepare daily reports andmaintainaccuraterecords * Perform data entry tasks as needed.

Working knowledge of material safety data sheets and the handling of hazardous materials/chemicals. * Working knowledge of related company instructions, company processes, MSDS labels and original ...

Reads and interprets meters, gauges, and instrumentation data * Adjusts equipment and processes ... Working knowledge of related company instructions, company processes and MSDS labels. * Working ...

Reads and interprets meters, gauges, and instrumentation data * Adjusts equipment and processes ... Working knowledge of related company instructions, company processes and MSDS labels. * Working ...

Data Labeling information

See Manitoba salary details

$10

$24

$57

How much do data labeling jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for data labeling in Manitoba is $24.51, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $28.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Labeling position, 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 a Data Labeling job?

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 is the job description of data labeling?

Data labeling involves annotating or tagging data such as images, text, or videos to help machine learning models understand and learn from the data. The role requires attention to detail, familiarity with labeling tools, and adherence to guidelines to ensure high-quality annotations. It is often performed remotely and may involve repetitive tasks with flexible schedules.

How much are data labelers paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are freelance or remote, with pay rates varying across platforms and employers.

How do I become a data labeler?

To become a data labeler, you typically need basic computer skills, attention to detail, and the ability to follow instructions. Many positions require no formal degree and offer flexible, part-time schedules; familiarity with data annotation tools or platforms is often helpful. Applying through online job boards or company websites is common for entry-level roles.

Is data labelling a good career?

Data labeling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and basic computer skills. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.
Infographic showing various Data Labeling job openings in Manitoba as of July 2026, with employment types broken down into 74% Full Time, 15% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $50,981 per year, or $24.5 per hour.

Data Labeling Specialist: Remote Contract

Workada

Portage La Prairie, MB โ€ข On-site, Remote

Full-time

Posted 3 days ago

New


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.

  • Strong readers and writers with sound judgment
  • Comfortable evaluating creative or technical work against a set of criteria
  • Takes quality seriously and catches what others miss
  • Can follow detailed written guidelines independently
  • Qualifications

  • Bachelor's degree, completed or in progress
  • Excellent written English โ€” clear, precise, well-organized
  • Strong attention to detail
  • At least 1 year of experience in a role built around evaluating or reviewing work against a standard e.g., UI/UX design, graphic design, photography, video production, editorial, research, QA, or technical writing. Equivalent experience will be considered.
  • Must be based in the US or Canada
  • Technical Requirements

  • Desktop or laptop running Windows 10 (or later) or a recent version of macOS. Chromebooks, Linux-based systems, and tablets (e.g., iPad, Surface in tablet mode) are not supported.
  • Stable, high-speed internet (minimum 25 Mbps download / 5 Mbps upload)
  • What We Offer

  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality
  • 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.