Richmond Hill, On Data scientists & statisticians Jobs – 369 Openings This Week

Computational Chemist - AI Trainer
DataAnnotation —Toronto, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
2d
Data Scientist - AI Trainer
DataAnnotation —Markham, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
2d
AI Data Quality Specialist - AI Trainer
DataAnnotation —Greater Toronto Area, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
2d
Junior Data Scientist
Cushman & Wakefield —Toronto, ON
- $114,750–$135,000 a year
- Full-time
- Azure
- Doctoral degree
- BLS Certification
- Disability insurance
- Dental care
Quick apply
Data Scientist
FutureFit AI —Toronto, ON
- $100,000–$155,000 a year
- Full-time
- Remote
- SQL
- AWS
- Travel
Principal Biostatistician
Everest Clinical Research —Markham, ON
- $150,000–$200,000 a year
- Doctoral degree
- Master's degree
- In-person
- Disability insurance
- Dental care
Quick apply
Clinical Data Scientist - AI Trainer
DataAnnotation —Newmarket, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
2d
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
Azure AI Engineer (AI-First Solutions)
Duka Intelligence Inc. —Mississauga, ON
- From $110,000 a year
- Full-time
- Azure
- DevOps
- SQL
- Dental care
Quick apply
1d
AI Engineer Intelligent Systems & Analytics
QMC Metering Solutions —North York, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Wellness program
- Commuter benefits
Quick apply
Lead Scientist - Applied ML
Canadian Tire Corporation, Ltd. —Toronto, ON
- $79,000–$131,000 a year
- Full-time
- SQL
- In-person
- Python
- Store discount
- Profit sharing
Quick apply
Principal Data Scientist (m/f/d)
AutoTrader.ca —Toronto, ON
- $180,000–$220,000 a year
- Computer Science
- SQL
- AWS
- 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
Sr. Full Stack Data Science Engineer
TD Bank —Toronto, ON
- $154,000–$199,500 a year
- Full-time
- Bilingual
- Azure
- English
- Paid time off
Full Stack Data Science Engineering Specialist
TD Bank —Toronto, ON
- $187,500–$261,000 a year
- Full-time
- Bilingual
- Azure
- English
- Paid time off
Data Scientist III
TD Bank —Toronto, ON
- $96,900–$136,800 a year
- Full-time
- Microsoft Powerpoint
- Computer Science
- Finance
- Paid time off
5d
Senior Data Scientist - Toronto (m/f/d)
autoTRADER.ca —Toronto, ON
- $180,000–$210,000 a year
- Computer Science
- Engineering
- AWS
- Employee assistance program
AI/BI Developer
DCL International Inc. —Concord, ON
- $45,000 a year
- Full-time
- Computer Science
- SQL
- Analysis skills
Quick apply
6d
Data Scientist II
TD Bank —Toronto, ON
- $81,600–$115,200 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Paid time off
9d
Principal AI Engineer
Tangerine Bank —Toronto, ON
- System design
- Machine learning
- AI
22h

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data scientists & statisticians jobs near richmond hill, on

Computational Chemist - AI Trainer

DataAnnotation -
Toronto, ON

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Job details

Contract | Fixed term contract
$50.00–$140.56 an hour
2 days ago

Qualifications

Bilingual
Statistics
Doctoral degree
Computer Science
Writing skills
Engineering
Mathematics
English
Google Cloud Platform
Master's degree
AWS
Bachelor's

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 Computational Chemist - 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.

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Refine Your Search

data scientists & statisticians jobs in richmond hill, on

Computational Chemist - AI Trainer

Data Scientist - AI Trainer

AI Data Quality Specialist - AI Trainer

Junior Data Scientist

Data Scientist

Principal Biostatistician

Clinical Data Scientist - AI Trainer

Senior Biostatistician

Azure AI Engineer (AI-First Solutions)

AI Engineer Intelligent Systems & Analytics

Lead Scientist - Applied ML

Principal Data Scientist (m/f/d)

Principal Data Scientist (m/f/d)

Sr. Full Stack Data Science Engineer

Full Stack Data Science Engineering Specialist

Data Scientist III

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

AI/BI Developer

Data Scientist II

Principal AI Engineer

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