Toronto, On Data engineer snowflake, dbtcore/cloud, aws Jobs – 1925 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
10d
AI Engineer Intelligent Systems & Analytics
QMC Metering Solutions —North York, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Wellness program
- Commuter benefits
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Data Engineer - Snowflake, dbtCore/Cloud, AWS
Aviva —Markham, ON
- $100,000–$125,000 a year
- Hybrid work
- Java
- SQL
- AWS
12d
AWS Cloud Engineer
Spectra Group Inc —Toronto, ON
- $80–$95 an hour
- Contract
- Hybrid work
- DevOps
- AWS
- Project management
Quick apply
1d
Data Engineer (AWS / Snowflake / DBT / Airflow / Informatica IICS)
act digital —Toronto, ON
- Bilingual
- Computer Science
- Sales
Quick apply
AWS Data Engineer - (Expertise SQL), OLAP - OLTP (Certified in AWS)
Atlantis IT group —Toronto, ON
- Hybrid work
- DevOps
- SQL
- AWS
Quick apply
Data Engineer - Snowflake
Tiger Analytics Inc. —Toronto, ON
- Full-time
- Remote
- Databases
- SQL
- AWS
Quick apply
AWS CDK Data Engineer, S3, Glue, Lambda, and Redshift
Atlantis IT group —Toronto, ON
- Hybrid work
- Microsoft Excel
- AWS
- Python
Quick apply
Senior Data Engineer (Cloud/AWS)
Royal Bank of Canada —Toronto, ON
- Full-time
- DevOps
- AWS
- Agile
DevOps Engineer, Cloud Platform
Upstart —Toronto, ON
- $142,000–$196,600 a year
- On call
- Remote
- Computer Science
- DevOps
- Engineering
- Employee stock purchase plan
- Designated paid holidays
AWS Data Engineer with Strong SQL, GLUE, Lambda, S3, PySpark, Kafka
Atlantis IT group —Toronto, ON
- Databases
- SQL
- AWS
Quick apply
Data Engineer (Databricks, Python, Pyspark and SQL)
SSI —Mississauga, ON
- $60–$70 an hour
- Contract
- Azure
- DevOps
- Finance
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Staff Engineer
ZayZoon —Toronto, ON
- $200,000–$240,000 a year
- Full-time
- Remote
- SQL
- AWS
- Negotiation
- Dental care
- Paid time off
Cloud Computing Instructor
Metro College —Toronto, ON
- $45–$75 an hour
- Temporary
- Azure
- Computer Science
- DevOps
AWS Data ETL Tester - AWS, ETL Testing, SQL, Data Validation, Test Automation, Java/Python
Atlantis IT group —Toronto, ON
- Java
- Databases
- SQL
Quick apply
DevOps Cloud Engineer
NASDAQ —Toronto, ON
- $86,000–$118,000 a year
- Full-time
- Computer Science
- DevOps
- Engineering
AWS Devops Engineer
Newrich Network —Toronto, ON
- Part-time
- Hybrid work
- DevOps
- Master's degree
- AWS
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
12d
WordPress Full Stack Developer
Toro Steel Buildings —Markham, ON
- $75,000–$90,000 a year
- Full-time
- Databases
- AWS
- JavaScript
- Dental care
- Paid time off
Computational Chemist - AI Trainer
DataAnnotation —Etobicoke, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
10d

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Computational Chemist - AI Trainer

DataAnnotation -
Toronto, ON

Quick apply

Job details

Contract | Fixed term contract
$50.00–$140.56 an hour
10 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.

Quick apply

Refine Your Search

data engineer snowflake, dbtcore/cloud, aws jobs in toronto, on

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