Toronto On Data Jobs – 2159 Openings This Week

AI Data Quality Specialist - AI Trainer
DataAnnotation —Greater Toronto Area, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
Machine Learning Scientist - AI Trainer
DataAnnotation —Thornhill, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
Specialist - Data Engineering
LTM —Mississauga, ON
- $125,815–$137,800 a year
- Software troubleshooting
- Mentoring
- Scripting
- Disability insurance
- Dental care
Quick apply
Senior Analyst, Supply Chain (Mandarin, Chinese)
Rakuten Kobo —Toronto, ON
- $77,837.00–$122,548.53 a year
- Full-time
- Hybrid work
- Continuous improvement
- In-person
- Business
- Paid time off
- Vision care
Specialist - Data Engineering
LTM —Mississauga, ON
- $87,896–$93,824 a year
- Writing skills
- DevOps
- SQL
- Disability insurance
- Dental care
Quick apply
Manager, Data Engineering
Moneris Solutions —Toronto, ON
- $124,000–$160,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
- Profit sharing
- Paid time off
AI Training Specialist Quantitative - AI Trainer
DataAnnotation —Etobicoke, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
AI Training Specialist Quantitative - AI Trainer
DataAnnotation —Scarborough, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
Principal Biostatistician
Everest Clinical Research —Markham, ON
- $150,000–$200,000 a year
- Doctoral degree
- Master's degree
- Continuous improvement
- Disability insurance
- Dental care
Quick apply
Data Center Design Engineer
Digital Shovel —Toronto, ON
- $150,000–$200,000 a year
- Full-time
- Engineering
- Bachelor's
- Travel
- Dental care
- Paid time off
Quick apply
Manager, Enterprise Data Solutions
Choice Properties —Toronto, ON
- $89,460.00–$123,007.50 a year
- Full-time
- Hybrid work
- Presentation skills
- Continuous improvement
- Team management
Data Engineer
MSi Corp. —Toronto, ON
- From $50 an hour
- Contract
- Hybrid work
- Java
- Analysis skills
- Machine learning
Quick apply
Senior Biostatistician
Everest Clinical Research —Markham, ON
- $110,000–$160,000 a year
- Remote
- Doctoral degree
- Master's degree
- Project management
- Disability insurance
- Dental care
Quick apply
Senior Solution Architect BI
Pet Valu —Markham, ON
- $110,000–$140,000 a year
- Full-time
- Hybrid work
- Computer Science
- Research
- Master's degree
- Dental care
Manager, Marketing Insights & Analytics
Moneris Solutions —Toronto, ON
- $115,000–$130,000 a year
- Full-time
- Hybrid work
- SQL
- Presentation skills
- Bachelor's
- Profit sharing
- Paid time off
Manager, Mortgage Pricing Analytics
Scotiabank —Toronto, ON
- Computer Science
- Writing skills
- SQL
Head of Data Governance - Product Line
Sanofi EU —Toronto, ON
- $165,800–$276,300 a year
- Azure
- Master's degree
- AWS
Senior Financial Analyst - Controllership
Toronto Grace Health Centre —Toronto, ON
- $91,000–$109,000 a year
- Temporary
- Research
- SQL
- Analysis skills
Senior Manager, Customer Resiliency Strategy and Analytics
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Analysis skills
- Bachelor's
- In-person
Quantitative Trader
MindEmi Commerce & Marketing LLC —Ontario
- $50,000–$80,000 a year
- Full-time
- Math
- Analytics
Quick apply

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AI Data Quality Specialist - AI Trainer

DataAnnotation -
Greater Toronto Area, ON

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Job details

Contract | Fixed term contract
$50.00–$140.56 an hour

Qualifications

Statistics
Predictive analysis
Statistics
Doctoral degree
Computer Science
Predictive modeling analysis
Writing skills
Engineering
Mathematics
English
Master's degree
Bachelor's
Quantitative modelling analysis
A/B testing
Performing statistical data analysis

Full job description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing AI Data Quality Specialist - AI Trainer to help train AI models. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Advantages of contracting with us:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Quick apply

Refine Your Search

data jobs in toronto on

AI Data Quality Specialist - AI Trainer

Machine Learning Scientist - AI Trainer

Specialist - Data Engineering

Senior Analyst, Supply Chain (Mandarin, Chinese)

Specialist - Data Engineering

Manager, Data Engineering

AI Training Specialist Quantitative - AI Trainer

AI Training Specialist Quantitative - AI Trainer

Principal Biostatistician

Data Center Design Engineer

Manager, Enterprise Data Solutions

Data Engineer

Senior Biostatistician

Senior Solution Architect BI

Manager, Marketing Insights & Analytics

Manager, Mortgage Pricing Analytics

Head of Data Governance - Product Line

Senior Financial Analyst - Controllership

Senior Manager, Customer Resiliency Strategy and Analytics

Quantitative Trader

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