Toronto, On With aws Jobs – 1699 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
Machine Learning Scientist - AI Trainer
DataAnnotation —Thornhill, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Instructor - Post Graduate Diploma in Cybersecurity
KIKKAWA SHIATSU SCHOOL INC. —Etobicoke, ON
- $25–$30 an hour
- Azure
- AWS
- Computer networking
Quick apply
Business Systems Architect
Golden Food & Manufacture Ltd —Concord, ON
- $46–$49 an hour
- Full-time
- Computer Science
- System design
- AWS
- Dental care
Quick apply
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
Software Developer
Medaca —Toronto, ON
- $80,000–$90,000 a year
- Full-time
- Computer Science
- English
- Bachelor's
Quick apply
14d
Support Analyst
Releady —Toronto, ON
- $43.50–$57.30 an hour
- Full-time
- AWS
- Organizational skills
- APIs
Quick apply
13d
IT Support Specialist
MAD Elevator Inc —Mississauga, ON
- $70,000 a year
- Full-time
- Azure
- Computer Science
- Heavy lifting
Quick apply
Data Analyst
CI Financial —Toronto, ON
- $55,000–$95,000 a year
- Full-time
- Microsoft Excel
- Azure
- SQL
- Designated paid holidays
- Disability insurance
12d
Staff Engineer
ZayZoon —Toronto, ON
- $200,000–$240,000 a year
- Full-time
- Remote
- System design
- SQL
- AWS
- Dental care
- Paid time off
Software Engineer
Meow —Toronto, ON
- Full-time
- Remote
- AWS
- APIs
- Python
Quick apply
7d
Full Stack Engineer, Early Career
Feathery —Toronto, ON
- Full-time
- Computer science
- Computer Science
- AWS
- Dental care
- Paid time off
Quick apply
Technical Operations Support (TechOps)
deltatre —Toronto, ON
- Weekends as needed
- Azure
- AWS
- Scripting
Machine Learning Engineer
Bree —Toronto, ON
- $180,000–$250,000 a year
- Full-time
- Hybrid work
- Azure
- Databases
- SQL
- Commuter benefits
- Dental care
Machine Learning Engineer
Traffix —Toronto, ON
- Full-time
- Azure
- Computer Science
- SQL
Developer with Prompt Engineering
Capco —Toronto, ON
- $92,000–$118,000 a year
- Azure
- DevOps
- AWS
- Disability insurance
Quick apply
Member of Technical Staff - Machine Learning Infrastructure Engineer, Post-training
Preference Model —Toronto, ON
- $180,000–$300,000 a year
- Full-time
- AWS
- Dental care
- Vision care
Machine Learning Engineer
Sobeys —Toronto, ON
- $102,000–$140,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
- Store discount
- Dental care
Quick apply
Software Engineer, Payments Integration & Modernization
Scotiabank —Toronto, ON
- Azure
- Java
- Databases
- Profit sharing
- Vision care
Data Analyst, Product
Relay —Toronto, ON
- $99,000–$121,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- AI
10d

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Computational Chemist - AI Trainer

DataAnnotation -
Toronto, ON

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Job details

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

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.

Quick apply

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