Engineering manager data platform Jobs

Data Science Manager - AI Trainer
DataAnnotation —Quebec City, QC
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Data Science Manager - AI Trainer
DataAnnotation —Dorval, QC
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Senior Manager, AWS Technical Support
Ingram Micro —Mississauga, ON
- From $155,000 a year
- Full-time
- Sales
- DevOps
- Engineering
- Disability insurance
- Dental care
Quick apply
Data Science Manager - AI Trainer
DataAnnotation —St. Catharines, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Data Science Manager - AI Trainer
DataAnnotation —West Vancouver, BC
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
TECH LEAD - GRC ENGINEERING
Business Development Bank of Canada —Montréal, QC
- Full-time
- Hybrid work
- Computer Science
- SQL
- Analysis skills
13d
Manager, Engineering and Data Platform
The Minto Group —Toronto, ON
- $130,000–$150,000 a year
- Full-time
- Computer Science
- Engineering
- SQL
- Paid time off
Quick apply
Engineering Senior Manager (Data Center Construction)
Domaco Encocorp Construction inc. (DEC) —Montréal, QC
- $140,000–$180,000 a year
- Full-time
- PMP
- Bachelor's
- Team management
- Dental care
- Paid time off
Quick apply
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
Lead Repair Engineer - Saskatoon, SK
Vecima Networks Inc. —Saskatoon, SK
- Full-time
- Schematics
- Engineering
- Analysis skills
- Profit sharing
- Disability insurance
Quick apply
Senior Manager, Technology Services
Commissionaires —Nepean, ON
- $110,000–$134,000 a year
- Full-time
- Bilingual
- Azure
- Management
- Dental care
- Paid time off
Quick apply
Lead DevOps & Platform Engineer
Canada Cloud Pharmacy —Vancouver, BC
- $140,000–$160,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Designated paid holidays
- Dental care
Manager, Engineering and Data Platform
The Minto Group —Ottawa, ON
- $130,000–$150,000 a year
- Full-time
- Computer Science
- Engineering
- SQL
- Paid time off
Quick apply
Asset Information Analyst
Niagara Region —Thorold, ON
- $78,810–$92,710 a year
- Full-time
- Hybrid work
- Computer Science
- PMP
- Engineering
- Employee assistance program
Manager, Continuous Improvement
AG Growth International Inc. —Nobleford, AB
- Writing skills
- Engineering
- Bachelor's
Senior Estimator/Project Manager
Cube Construction Ltd —Edmonton, AB
- $35–$45 an hour
- Full-time
- Microsoft Excel
- PMP
- Engineering
Quick apply
3d
Specialist, Engineering
Applied Pharmaceutical Innovation —Edmonton, AB
- Full-time
- AutoCAD
- Engineering
- Bachelor's
- Dental care
- Paid time off
7d
Customer Support Manager
Confidential —Richmond, BC
- $60,000–$80,000 a year
- Full-time
- CRM software
- Engineering
- ERP systems
Quick apply
8d
Project Scheduler - Heavy Civil
Morgan Construction & Environmental Ltd. —Calgary, AB
- Travel
- Contracts
- Construction experience
14d
Manager, Data Engineering
Moneris Solutions —Toronto, ON
- $124,000–$160,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
- Profit sharing
- Paid time off

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Data Science Manager - AI Trainer

DataAnnotation -
Quebec City, QC

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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 Data Science Manager - 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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