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Data Annotation Tech Remote Jobs in Ontario (NOW HIRING)

Data Analyst

Toronto, ON ยท On-site +1

Flexible hours and hybrid remote working environment * Subsidized in-office lunches * Four extended ... Weekly Kobo Tech University sessions * Maternity/paternity leave top up * Dog friendly office About ...

Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ... technology or other processes to ensure the efficiency and effectiveness of the department.

Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ... technology or other processes to ensure the efficiency and effectiveness of the department.

Fully Remote Employment Type: Contractor Vacancy Status: New RESPONSIBILITIES * Collaborate with ... Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical ...

25-053 Data Architect

Pickering, ON ยท On-site +1

$85 - $100/hr

... remote) Job Overview JOB FUNCTION As a Data Architect you will be responsible for leading the Azure ... new technologies to the environment through research and POCs. and prepare POC code designs that ...

... Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be ... Develop optimized, performant data pipelines and models at scale using technologies such as 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 are Data Annotation Tech Remote jobs?

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 Technicians, 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.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

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:

Freelance Data Scientist, ad hoc

Klick Health

Toronto, ON โ€ข Remote

Full-time

Posted 2 days ago


Job description

Company Description

The Klick Groupโ€”comprising Klick Health (including Klick Katalyst and btwelve), Klick Media Group, Klick Applied Sciences (including Klick Labs), Klick Consulting, and Klick Venturesโ€”is an ecosystem dedicated to realizing the full potential of our people and clients in life sciences. Founded in 1997, we have offices in New York, Philadelphia, Saratoga Springs, Toronto, London, Sรฃo Paulo, and Singapore. Consistently named a Best Managed Company, Most Admired Corporate Culture, and Great Place to Work, Klick is committed to fostering a high-performance, people-first culture with creativity, collaboration, innovation, and impact across everything we do.

About our Consulting Craft
Our Consulting Craft partners with clients on complex business and transformation challenges. The team applies strategic rigor to real-world problems. They help organizations navigate change with clarity and confidence. Their work drives meaningful, long-term impact.

Job Description

As a Freelance Data Scientist, this role supports Klick Consulting by converting complex healthcare, commercial, and marketing data into clear narratives and practical recommendations for clients. The role partners with data scientists, strategists, consultants, and senior stakeholders to define business questions, select appropriate methods, execute analyses, and communicate findings. This freelance position is based in Ontario, is 100% remote, and does not require travel.

Employment type: freelance
Target hours:ย ad hoc, 20 hours per week, more if possible

What Youโ€™ll Do

  • Design data science approaches that balance client business goals with statistical, technical, and data constraints.
  • Python data analysis workflows using tools such as pandas, NumPy, matplotlib/plotly, scikit-learn, SQL, git, and GitHub.
  • Analyze healthcare, marketing, commercial, clinical, or utilization data using methods such as natural language processing and free-text analysis, clustering, geospatial analysis, descriptive statistics, and predictive modeling.
  • Translate technical findings into clear data stories, visualizations, and client-ready recommendations for cross-functional stakeholders.
  • Support and own experimental design, data analysis workstreams, and documentationย  across consulting engagements.
Qualifications

Required:

  • Undergraduate degree in a computational, scientific, or health-related field, e.g., statistics, mathematics, bioinformatics.
  • Demonstrated experience analyzing structured or unstructured data, including observable understanding of bias, error, confounding, power, and significance.
  • Hands-on experience using Python data analysis tools such as NumPy, pandas, matplotlib, or scikit-learn, plus SQL for data extraction or analysis.
  • Working familiarity with git, GitHub, and command-line workflows to document and collaborate on analysis scripts.
  • Experience translating technical analysis into written or verbal recommendations for cross-functional stakeholders.
  • Ability to independently scope, execute, and explain smaller analysis workstreams, while collaborating with data scientists,ย  consultants, and strategists on larger projects.
  • Practical experience using AI tools to accelerate technical work, including validation, maintainability, and reliability.
  • Comfortable working with ambiguous or evolving business questions, making assumptions explicit, and adapting to new context.

Desired:

  • 3+ years of professional experience in analytics, data science, or applied research outside a purely academic context.
  • Experience analyzing real-world data (RWD), e.g., healthcare administrative claims, EHR data, or clinical outcomes.
  • Familiarity with AWS, Google Cloud Platform, Microsoft Azure, or other cloud-based analytics environments.
  • Graduate degree in data science, statistics, bioinformatics, or a related quantitative field.
  • Experience applying advanced analytic methods and technologies to answer business or clinical questions, such as natural language processing, hierarchical Bayesian modeling, Markov chain Monte Carlo, and generative AI.

Additional Information

This posting is for a newly created role at Klick.

The base hourly rate for this position is between CAD $40/hour to $45/hour. The final amount offered will be determined based on several factors such as a candidate's work location, their unique skill set, education, and prior work experience.ย 

#LI-Remote #LI-ML1

Our Commitment to Inclusion
Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of color, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities. We're also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience.