Cambridge, On Aws Jobs – 109 Openings This Week

Senior Research Scientist - AI Trainer
DataAnnotation —Cambridge, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
14d
Data Science Manager - AI Trainer
DataAnnotation —Guelph, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
14d
Mechanical Design Engineer
Cascade Canada Ltd. —Guelph, ON
- $64,000–$70,000 a year
- Full-time
- CAD
- Engineering
- ERP systems
- Profit sharing
- Disability insurance
Quick apply
13d
Analytics Engineer - AI Trainer
DataAnnotation —Breslau, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
14d
Backend Team Lead
Venuiti —Waterloo, ON
- $180,000–$220,000 a year
- Full-time
- Azure
- DevOps
- Java
Quick apply
AI Annotation Specialist Data Science - AI Trainer
DataAnnotation —Guelph, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
14d
Senior Technical Program Manager
Johnson Service Group Inc. —Ontario
- Contract
- PMP
- DevOps
- AWS
Quick apply
4d
Experienced Fitter/Welder (PM Shift)
www.awcmanufacturing.com —Guelph, ON
- $28.82–$31.60 an hour
- Full-time
- High school diploma or GED
- AWS
- Welding
- Profit sharing
- Disability insurance
Quick apply
Analyst, Network & Security - 12 Month Contract
Hammond Power Solutions Inc. —Guelph, ON
- $71,600–$107,400 a year
- Hybrid work
- Azure
- Engineering
- AWS
- Paid time off
- Employee assistance program
Quick apply
4d
Senior Cloud Engineer
BMO Financial Group —Ontario
- $75,900–$141,900 a year
- Full-time
- Remote
- DevOps
- AWS
- Analysis skills
- Tuition reimbursement
- Life insurance
Director, Enterprise Business Applications
Hammond Power Solutions Inc. —Guelph, ON
- Hybrid work
- Azure
- Computer Science
- PMP
- Paid time off
- Employee assistance program
Quick apply
Dynatrace Consultant - Bilingual - Contract
Compugen Inc —Ontario
- $50–$85 an hour
- Contract
- Bilingual
- Azure
- DevOps
Welder
Arrow Machine and Fabrication Group —Cambridge, ON
- $23.03–$34.53 an hour
- Schematics
- AWS
- Math
- Profit sharing
- Dental care
Quick apply
Software Engineer
Gateway Services Inc —Guelph, ON
- $70,000–$75,000 a year
- Weekends as needed
- Computer Science
- Master's degree
- AWS
Quick apply
Senior Software Engineer, AWS
Gore Mutual Insurance —Cambridge, ON
- $79,500–$129,500 a year
- On call
- Hybrid work
- DevOps
- AWS
- Recruiting
- Disability insurance
- Dental care
10d
Intermediate Software Developer - .NET / AWS / Full Stack
NAVBLUE, Inc. —Waterloo, ON
- Full-time
- Hybrid work
- Engineering
- English
- AWS
- Flexible schedule
- Life insurance
Director, Customer Technical Support
Arctic Wolf —Waterloo, ON
- $164,000–$246,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Engineering
- Disability insurance
- Dental care
10d
Senior DevOps Engineer
Gateway Services Inc —Guelph, ON
- $130,000 a year
- Weekends as needed
- Azure
- Computer Science
- DevOps
Quick apply
Automated Test Developer
Agfa —Waterloo, ON
- $110,000–$130,000 a year
- DevOps
- Java
- AWS
- Paid time off
Software Engineer - Magnet One (front-end, back-end, or full-stack opportunities)
Magnet Forensics —Waterloo, ON
- $90,000–$140,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Paid time off
11d

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Senior Research Scientist - AI Trainer

DataAnnotation -
Cambridge, ON

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Job details

Contract | Fixed term contract
$50.00–$140.56 an hour
14 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 Senior Research 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

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Software Engineer - Magnet One (front-end, back-end, or full-stack opportunities)

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