Toronto, On Scientist ai Jobs – 504 Openings This Week

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
Clinical Data Scientist - AI Trainer
DataAnnotation —North York, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
AI Engineering Lead
Definity Financial Corporation —Toronto, ON
- $108,700–$158,700 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
- Tuition reimbursement
- Paid time off
Specialist, AI Engineering
Definity Financial Corporation —Toronto, ON
- $92,000–$142,000 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- Master's degree
- Tuition reimbursement
- Paid time off
Analog and RF Layout Engineer
Capgemini —Toronto, ON
- Hybrid work
- Mentoring
- Disability insurance
- Dental care
Applied Scientist - AI Trainer
DataAnnotation —Concord, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
Data Scientist - AI Trainer
DataAnnotation —Markham, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Doctoral degree
- Computer Science
- Writing skills
- Flexible schedule
Quick apply
Data Scientist Manager
Sanofi EU —Toronto, ON
- $125,300.00–$180,966.66 a year
- Hybrid work
- Doctoral degree
- Computer Science
- English
9d
Senior Manager, Customer Resiliency Strategy and Analytics
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Analysis skills
- Bachelor's
- In-person
Pool Maintenance Technician
Aquatics Ai Services Inc —Greater Toronto Area, ON
- $20–$25 an hour
- Full-time
- High school diploma or GED
- Travel
- Dental care
- Vision care
Quick apply
Lead Data Scientist
Sanofi EU —Toronto, ON
- $108,900–$157,300 a year
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
9d
Senior Data Scientist - Toronto (m/f/d)
AutoTrader.ca —Toronto, ON
- $180,000–$210,000 a year
- Computer Science
- Engineering
- System design
- Employee assistance program
Principal Data Scientist (m/f/d)
autoTRADER.ca —Toronto, ON
- $180,000–$220,000 a year
- Computer Science
- SQL
- AWS
- Employee assistance program
Staff Applied ML Engineer
Kaseya Careers —Toronto, ON
- $220,000–$280,000 a year
- SQL
- Machine learning
- Mentoring
Senior Data Scientist
Agilus by Synergie —Toronto, ON
- $140,000–$160,000 a year
- Remote
- Machine learning
- Software development
- APIs
- Dental care
- Paid time off
Quick apply
Software Verification Specialist ( Mass Spectrometer / HPLC)
Systematix —Concord, ON
- $30–$40 an hour
- Temporary
- Hybrid work
- Engineering
- Laboratory experience
- Continuous improvement
Quick apply
AI Engineer
Sanofi EU —Toronto, ON
- $94,700.00–$136,766.66 a year
- Hybrid work
- Doctoral degree
- Computer Science
- English
9d
Principal Data Scientist (m/f/d)
AutoTrader.ca —Toronto, ON
- $180,000–$220,000 a year
- Computer Science
- SQL
- AWS
- Employee assistance program
Manager, Strategy Analyst
Capital One - CA —Toronto, ON
- Full-time
- Remote
- Computer science
- Marketing
- Engineering
1d
Data and AI Engineer
Sanofi EU —Toronto, ON
- $86,100.00–$124,366.66 a year
- Computer Science
- Engineering
- English

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scientist ai jobs near toronto, on

Machine Learning Scientist - AI Trainer

DataAnnotation -
Thornhill, 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
Machine learning
Quantitative modelling analysis
A/B testing
Data science
AI
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 Machine Learning Scientist - 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

scientist ai jobs in toronto, on

Machine Learning Scientist - AI Trainer

Clinical Data Scientist - AI Trainer

AI Engineering Lead

Specialist, AI Engineering

Analog and RF Layout Engineer

Applied Scientist - AI Trainer

Data Scientist - AI Trainer

Data Scientist Manager

Senior Manager, Customer Resiliency Strategy and Analytics

Pool Maintenance Technician

Lead Data Scientist

Senior Data Scientist - Toronto (m/f/d)

Principal Data Scientist (m/f/d)

Staff Applied ML Engineer

Senior Data Scientist

Software Verification Specialist ( Mass Spectrometer / HPLC)

AI Engineer

Principal Data Scientist (m/f/d)

Manager, Strategy Analyst

Data and AI Engineer

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