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Ai Data Collection Jobs in Ontario (NOW HIRING)

About the Role We are seeking AI Data Protection Architects to contribute to major projects. The ... Ensure evidence collection and documentation meet regulatory expectations. Leadership & Advisory

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Lead the collection, validation, and organization of data from multiple internal and external ... Develop and support AI-enabled tools that help identify trends, summarize data, automate reporting ...

Lead the collection, validation, and organization of data from multiple internal and external ... Develop and support AI-enabled tools that help identify trends, summarize data, automate reporting ...

Lead the collection, validation, and organization of data from multiple internal and external ... Develop and support AI-enabled tools that help identify trends, summarize data, automate reporting ...

Lead the collection, validation, and organization of data from multiple internal and external ... Develop and support AI-enabled tools that help identify trends, summarize data, automate reporting ...

Lead the collection, validation, and organization of data from multiple internal and external ... Develop and support AI-enabled tools that help identify trends, summarize data, automate reporting ...

Data Analyst

Mississauga, ON

CA$75K - CA$90K/yr

Identify new sources of data and develop data collection systems to improve data collection ... EllisDon uses AI tools to assist in screening and assessing applicants for this position.

Improve data collection procedures and pipelines. Perform data profiling and exploration to ensure ... Exposure to Snowflake Cortex AI features (e.g. Cortex LLM functions, Cortex Search, or Cortex ...

Design and implement scalable, distributed AI/ML-based systems; * Design, development, integration ... Data collection, analysis and reporting. Preferred Technical Skills: * MLOps (e.g., Kubeflow)

Part-time The Data Collection Associate is responsible for collecting and transmitting data ... AI and Automated Decision-Making Notice We use artificial intelligence (AI) tools to help screen ...

Part-time The Data Collection Associate is responsible for collecting and transmitting data ... AI and Automated Decision-Making Notice We use artificial intelligence (AI) tools to help screen ...

Part-time The Data Collection Associate is responsible for collecting and transmitting data ... AI and Automated Decision-Making Notice We use artificial intelligence (AI) tools to help screen ...

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Showing results 1-20

Ai Data Collection information

See Ontario salary details

$8

$43

$106

How much do ai data collection jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai data collection in Ontario is $43.44, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $65.87 per hour, depending on experience, location, and employer.

What is an AI data collection?

An AI Data Collection job involves gathering, labeling, and curating datasets used to train and improve artificial intelligence models. This can include collecting text, images, audio, or video data from various sources while ensuring its accuracy and relevance. Professionals in this role may also clean and organize data to make it usable for machine learning algorithms. Ethical considerations, such as privacy and bias, are important aspects of the job. Strong attention to detail and familiarity with data management tools are often required.

What does a typical day look like for someone working in AI data collection?

A typical day often involves reviewing and labeling large sets of data—such as text, images, or audio—using specialized annotation tools or platforms. You might also collaborate with data engineers, project managers, or AI researchers to clarify data requirements and resolve ambiguities. The role usually requires a balance of independent, detail-oriented work and regular team check-ins to ensure consistency and quality across datasets. Adhering to project deadlines and quality guidelines is essential, and there may be opportunities to automate repetitive tasks or improve data protocols over time.

What are the key skills and qualifications needed to thrive in AI data collection, and why are they important?

To thrive in AI Data Collection, you need strong analytical skills, attention to detail, and knowledge of data management principles, often supported by a background in computer science or a related field. Familiarity with data annotation tools, spreadsheets, programming languages like Python, and experience using data labeling or crowdsourcing platforms is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are valuable soft skills in this position. These skills enable accurate, efficient data collection and ensure datasets meet the quality standards necessary for training and validating AI models.

How to be an AI data collector?

To become an AI data collector, you should have strong attention to detail and basic computer skills, as the role involves gathering and labeling data for machine learning models. Familiarity with data annotation tools and understanding of data privacy standards are also beneficial. Typically, this job requires completing relevant training or tutorials and may involve flexible or remote work arrangements.

What are popular job titles related to Ai Data Collection jobs in Ontario?

For Ai Data Collection jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Ai Data Collection job openings in Ontario as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,348 per year, or $43.4 per hour.

AI Data Protection Architect

Levio

Toronto, ON • Hybrid

Full-time

PTO

Re-posted 10 days ago


Job description

Are you looking to thrive in a stimulating work environment? 

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongsidehigh-caliberprofessionals on ambitious, large-scale technology projects, directly embedded in our clients' environments. At Levio, we valueexpertise, curiosity, and continuous improvement - and we give you the space to grow. 

About the Role
We are seeking AI Data Protection Architects to contribute to major projects. 

The Data Protection & Privacy Architect is responsible for defining, governing, and implementing the enterprise architecture required to protect personal, sensitive, and regulated data throughout its lifecycle. This senior role ensures that privacy and data protection requirements are embedded into systems, applications, cloud platforms, analytics environments, and business processes by design and by default. The architect acts as a strategic advisor to executive leadership, legal, cybersecurity, IT, and business teams, ensuring compliance with privacy regulations while enabling secure and responsible data usage. The role will be remote.  

Why Join Levio? 
  • Work on complex,high impactdigital transformation projects 
  • Collaboratewithexperienced,multidisciplinaryteams 
  • Continuously develop your technical and professionalexpertise 
  • Enjoy flexibility, autonomy, and a strongpeople firstculture 
  • Be part of an organization that values diversity, inclusion, and innovation 
Role and Responsibilities

Privacy & Data Protection Architecture 

  • Define and maintain enterprise privacy-by-design and privacy-by-default architectures. 
  • Architect data protection controls across applications, infrastructure, cloud, and data platforms. 
  • Establish standards for data classification, handling, retention, archiving, and secure destruction. 
  • Ensure consistent application of data protection controls across on-premise, cloud, and hybrid environments. 

Regulatory & Governance Leadership 

  • Architect privacy governance frameworks aligned with GDPR, Quebec Law 25, PIPEDA, and ISO/IEC 27701. 
  • Define control baselines, assurance mechanisms, and compliance monitoring models. 
  • Support executive decision-making related to privacy risk, compliance posture, and regulatory exposure. 
  • Collaborate with legal, internal audit, and GRC teams to ensure regulatory alignment. 

Data Security & Risk Management 

  • Architect encryption, key management, and secrets management strategies. 
  • Define data loss prevention (DLP) architectures and monitoring mechanisms. 
  • Ensure strong access controls and segregation of duties for sensitive data. 
  • Lead privacy risk assessments for complex systems, cloud platforms, AI solutions, and analytics environments. 

Data Lifecycle & Enterprise Integration 

  • Architect solutions for data discovery, data mapping, and records of processing activities (RoPA). 
  • Ensure privacy requirements are integrated into SDLC, DevSecOps, and data engineering pipelines. 
  • Support privacy requirements for AI, machine learning, and advanced analytics use cases. 
  • Ensure auditability, traceability, and accountability of data usage. 

Third-Party & Cloud Data Protection 

  • Define architectures for secure data sharing with third parties and vendors. 
  • Establish data protection requirements for outsourcing, SaaS, and cloud providers. 
  • Architect controls for cross-border data transfers and data residency requirements. 

Incident & Breach Management (Privacy Context) 

  • Support design of data breach detection, response, and notification processes. 
  • Act as senior advisor during privacy incidents and regulatory reporting. 
  • Ensure evidence collection and documentation meet regulatory expectations. 

Leadership & Advisory 

  • Act as the senior subject matter expert for data protection and privacy architecture. 
  • Mentor privacy analysts, GRC professionals, and security architects. 
  • Communicate privacy risks, architectural decisions, and mitigation strategies to executives and boards. 
  • Represent the organization with regulators, auditors, and external stakeholders when required. 
Qualifications and Experience
  • Deep expertise in data protection and privacy-by-design principles. 
  • Strong understanding of privacy regulations and standards: GDPR, Quebec Law 25, PIPEDA, ISO/IEC 27701 
  • Ability to design enterprise data protection architectures across: Applications, Databases, Cloud platforms, Data lakes and analytics environments 
  • Expertise in data classification, data mapping, and records of processing activities (RoPA). 
  • Strong knowledge of data security controls: Encryption (at rest, in transit, and in use), Key management systems (KMS, HSM), Tokenization, anonymization, and pseudonymization, Data Loss Prevention (DLP) 
  • Experience architecting identity and access controls for sensitive data: Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), Privileged Access Management (PAM) 
  • Ability to design data retention, archiving, and secure data destruction strategies. 
  • Familiarity with cloud-native data protection and governance tools: Azure Purview / Microsoft Purview, AWS Macie, Google Cloud DLP
  • Experience integrating privacy and data protection into: DLC and DevSecOps pipelines, Data engineering and analytics workflows
  • Ability to assess privacy risks in AI, machine learning, and large-scale data processing systems.
  • Strong understanding of logging, monitoring, auditability, and evidence collection.
  • Experience with privacy management and GRC platforms: OneTrust, TrustArc, ServiceNow GRC
  • CIPP/E, CIPP/C, CIPM, ISO/IEC 27701 Lead Implementer / Lead Auditor, CDPSE, CISSP (an asset)
Compensation (Ontario)  

The salary range provided reflects a good faith estimate based on factors such as experience, technical expertise, location, and relevant certifications. Final compensation will be determined according to the specific circumstances of each candidate. 

Estimated salary range: $110,000 to $150,000 per year. 

This posting is a current hiring need.

Benefits and Work Environment 

Levio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including: 

  • 4 weeks of cumulative vacation starting from day one 
  • Flexibleworkinghours 
  • Professional Development Allowance (PDA) for training, computer equipment, and physical activities 
  • Training tailored to your areas of expertise 
  • Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary 
  • Modulargroupinsuranceplan 
  • Public transportation or parking reimbursement whenrequired 
  • Referralbonuses 
  • 11statutoryholidays 
  • Personaldays 
  • An active social life (5to7 events, social club, healthy snacks, coffee, and more) 

Position Details 
 

  • Employmenttype:Full time, permanent 
     

Notice on the Use of Artificial Intelligence in Recruitment 

We use AI enabled tools to help sort and review applications based on job related criteria. Final decisions regarding candidate progression are always made by a human recruiter. 

Employment Equity 

Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities. 

We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidatesparticipatingin all aspects of the selection process.