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Data Labeling Jobs in Manitoba (NOW HIRING)

Dynacare

Technician

Winnipeg, MB

Data enter all patient and test information for requisitions in an accurate and timely manner ... Process all specimens including receiving, sorting, labeling, separation, and placing in ...

Walmart

(CAN) Pharmacy Assistant

Winnipeg, MB · 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 ...

Intelcom

Operations Coordinator

Winnipeg, MB · On-site

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

Sunrise Farms

Quality Assurance Technician

Winnipeg, MB · On-site

Verifies label compliance and packaging tare weights * Monitor CCPs and record results * Initiate ... Perform data entry and data analysis tasks * Help in collecting samples for shelf life and other ...

Greif

IPG Spiral Shipper Receiver

Winnipeg, MB · On-site

Label and stockpile shipments according to size, shape, and type. Promotes clean shipping supply ... Offers for this position may vary based on market data and other factors such as job-related ...

StandardAero

Technician, Waste Water

Winnipeg, MB

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

All JobsData Labeling JobsData Labeling Jobs in Manitoba

Data Labeling information

See Manitoba salary details

$10

$24

$57

How much do data labeling jobs pay per hour?

As of Aug 22, 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 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 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.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

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.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

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 team environment.
Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Manitoba as of August 2026, with employment types broken down into 100% Full Time. 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 • Remote

Full-time

Posted 22 days ago

Job description

At Workada, we're not just labeling data, we're helping improve the technology people use every day. Our work creates the examples and feedback that make advanced systems more accurate, consistent, and useful.

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

    Technical Requirements

    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

    • undefined

    Apply