Toronto, On Machine learning and ai Jobs – 996 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
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
Licensed Mechanic (310T)
The Miller Group —Scarborough, ON
- $43–$48 an hour
- Weekends as needed
- Heavy lifting
- Maintenance
- High school diploma or GED
- Wellness program
- Disability insurance
Quick apply
Licensed Mechanic (310T)
The Miller Group —Scarborough, ON
- $43–$48 an hour
- Weekends as needed
- Heavy lifting
- Maintenance
- High school diploma or GED
- Wellness program
- Disability insurance
Quick apply
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
Licensed Mechanic (310T)
The Miller Group —Etobicoke, ON
- $43–$48 an hour
- Weekends as needed
- Heavy lifting
- Maintenance
- High school diploma or GED
- Wellness program
- Disability insurance
Quick apply
Maintenance Mechanic
FGF Brands —Woodbridge, ON
- $41–$49 an hour
- Overtime
- No university degree
- Cleaning
- Welding
- Wellness program
- Disability insurance
1d
Senior Embedded AI Software Engineer
Soneil Spark —Brampton, ON
- $70,000–$120,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
- Dental care
- Paid time off
Quick apply
Maintenance Technician
Petra Hygienics Systems —Concord, ON
- $25–$35 an hour
- Full-time
- Microsoft Outlook
- Heavy lifting
- Schematics
Quick apply
Lead Data and AI Engineer
Sanofi EU —Toronto, ON
- $125,300.00–$180,966.66 a year
- Computer Science
- Engineering
- Java
11d
Configuration Lead MES
Sanofi EU —Toronto, ON
- $125,300.00–$180,966.66 a year
- Azure
- Computer Science
- Up to 50% travel
Lead Data Scientist
Sanofi EU —Toronto, ON
- $108,900–$157,300 a year
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
9d
Data Scientist Manager
Sanofi EU —Toronto, ON
- $125,300.00–$180,966.66 a year
- Hybrid work
- Doctoral degree
- Computer Science
- English
9d
Equipment Operator - Telehandler
Nikita Construction —Vaughan, ON
- Immediate opening
- Remote
- Hotel
- Math
- Computer skills
- Dental care
- Vision care
Quick apply
14d
Senior Manager, Data Engineering
Moneris Solutions —Toronto, ON
- $142,000–$177,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
- Profit sharing
- Paid time off
Staff Software Engineer - Capital One Travel - Android
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Head of Data Governance - Product Line
Sanofi EU —Toronto, ON
- $165,800–$276,300 a year
- Azure
- Master's degree
- AWS
Principal AI Engineer
Tangerine Bank —Toronto, ON
- Mentoring
- AI
- Leadership
Senior AI Engineer
Tangerine Bank —Toronto, ON
- Computer science
- Azure
- Computer Science
Cup Forming Operator
The Cup Store —Concord, ON
- $18.60–$20.00 an hour
- Full-time
- Maintenance
- Quality Control
- In-person
- Dental care
- Vision care
Quick apply

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machine learning and 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

machine learning and ai jobs in toronto, on

Machine Learning Scientist - AI Trainer

AI Engineering Lead

Licensed Mechanic (310T)

Licensed Mechanic (310T)

Specialist, AI Engineering

Licensed Mechanic (310T)

Maintenance Mechanic

Senior Embedded AI Software Engineer

Maintenance Technician

Lead Data and AI Engineer

Configuration Lead MES

Lead Data Scientist

Data Scientist Manager

Equipment Operator - Telehandler

Senior Manager, Data Engineering

Staff Software Engineer - Capital One Travel - Android

Head of Data Governance - Product Line

Principal AI Engineer

Senior AI Engineer

Cup Forming Operator

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