St. Catharines, On Data scientists & statisticians Jobs – 13 Openings This Week

Computational Neuroscientist - AI Trainer
DataAnnotation —Beamsville, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
11d
Cognitive Scientist - AI Trainer
DataAnnotation —Beamsville, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
11d
Data Scientist
Ministry of Transportation —St. Catharines, ON
- $86,379–$127,288 a year
- Bilingual
- English
- Research
11d
AI Annotation Specialist Data Science - AI Trainer
DataAnnotation —St. Catharines, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
11d
Senior Data Scientist
CT Bank —Oakville, ON
- $64,000–$106,000 a year
- Full-time
- SQL
- Math
- Presentation skills
2d
Product Analyst - AI Trainer
DataAnnotation —Beamsville, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
11d
Scientist Machine Learning***Scientifique en apprentissage automatique
IPEX Management Inc. —Oakville, ON
- $91,300–$110,000 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- SQL
Junior AI/Automation Developer (Local AI Systems)
Precision Record Pressing Inc —Oakville, ON
- $70,000–$80,000 a year
- Full-time
- Computer Science
- Engineering
- ERP systems
- Paid time off
- Employee assistance program
Quick apply
2d
Predictive Analytics & Strategy Student
PCL Constructors Inc. —Oakville, ON
- $19.57–$28.69 an hour
- Computer Science
- SQL
- Analysis skills
Principal, Fraud Analytics
TransUnion —Burlington, ON
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Finance
14d

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Machine Learning Scientist - AI Trainer
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Computational Neuroscientist - AI Trainer

DataAnnotation
Beamsville, ON

Quick apply

Job details

Contract | Fixed term contract
11 days ago

Benefits

Flexible schedule

Skills

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 Neuroscientist - 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 scientists & statisticians jobs in st. catharines, on

Computational Neuroscientist - AI Trainer

Cognitive Scientist - AI Trainer

Data Scientist

AI Annotation Specialist Data Science - AI Trainer

Senior Data Scientist

Product Analyst - AI Trainer

Scientist Machine Learning***Scientifique en apprentissage automatique

Junior AI/Automation Developer (Local AI Systems)

Predictive Analytics & Strategy Student

Principal, Fraud Analytics

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