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Data Annotation Tech Remote Jobs in Ontario (NOW HIRING)

Mercor

Pharmacy Expert - Lexidrug Specialist

Toronto, ON · Remote

CA$75 - CA$120/hr

Remote Role Responsibilities * Confirm interaction, dosing, or contraindication findings against ... Prior data annotation, labeling, or AI evaluation experience Application Process (Takes 20-30 mins ...

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Toronto, Ontario (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Coordinate data collection and annotation efforts. * Work with real-time data and content coming ...

Zensurance

Tech Lead (Remote First)

Toronto, ON · Remote

... includes customer data confirmation, e-sign, financing, payment collection and invoicing ... This is a remote-first role within Canada. #LI-Remote Responsibilities: * Collaborate with project ...

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science ... Experience at a leading technology, research, or quantitative firm. * Strong command of Python ...

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Data Annotation Tech Remote information

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What are the most commonly searched types of Data Annotation Tech jobs in Ontario?

The most popular types of Data Annotation Tech jobs in Ontario are:

What are popular job titles related to Data Annotation Tech Remote jobs in Ontario?

For Data Annotation Tech Remote jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech Remote jobs in Ontario look for?

The top searched job categories for Data Annotation Tech Remote jobs in Ontario are:

Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Clinical Pharmacist - Fully Remote | Upto $120/hr

Mercor

Toronto, ON • Remote

CA$120/hr

Full-time

Posted 2 days ago

New

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Pharmacist
Type: Contract
Compensation: $75–$120/hour
Location: Remote

Role Responsibilities

  • Confirm interaction, dosing, or contraindication findings against the patient's full medication list and chart.
  • Catch missed interactions, stale patient data, and monograph guidance superseded by newer Special Alerts.
  • Judge completeness of the clinical picture, ensuring all active meds, labs, and comorbidities are considered.
  • Distinguish "permitted" from "appropriate" and flag poor drug choices for specific patients.
  • Verify that clinical conclusions are carried through with order updates, prescriber notifications, and documentation.

Qualifications

Must-Have

  • Frequent Lexidrug (or Lexicomp) use - weekly or more - in your current or recent role
  • 2+ years of professional pharmacy experience, inpatient/hospital setting strongly preferred
  • Reflexive use of Interactions, Trissel's, and monograph sections
  • PharmD and active pharmacy license, or equivalent verification-heavy clinical experience
  • Strong working knowledge in at least 2–3 specialized areas above, tied to your practice setting

Preferred

  • Prior data annotation, labeling, or AI evaluation experience

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.