Remote Data scientist Jobs – 326 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
3d
Computational Chemist - AI Trainer
DataAnnotation —Yellowknife, NT
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
3d
Data Scientist
raisin Software —Remote
- $90,000–$120,000 a year
- Remote
- Computer Science
- Engineering
- SQL
Quick apply
Data Scientist
Ample Insight Inc. —Toronto, ON
- Full-time
- Remote
- Computer science
- Doctoral degree
- Computer Science
Quick apply
Data Scientist
FutureFit AI —Toronto, ON
- $100,000–$155,000 a year
- Full-time
- Remote
- SQL
- AWS
- Travel
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
3d
Senior Data Scientist
Agilus by Synergie —Toronto, ON
- $140,000–$160,000 a year
- Remote
- Machine learning
- APIs
- AI
- Dental care
- Paid time off
Quick apply
Data Scientist
Kruger Products —Remote
- $95,000–$125,000 a year
- Full-time
- Remote
- Bilingual
- Azure
- Doctoral degree
Data Scientist 2
Northbridge Financial Corporation —Toronto, ON
- $84,000–$126,000 a year
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's
- Work from home
Freelance Data Scientist, ad hoc
Klick Health —Toronto, ON
- $40–$45 an hour
- Contract
- Remote
- Azure
- Data analysis skills
- Master's degree
Quick apply
Data Scientist
Xsolla —Remote
- $150,000–$220,000 a year
- Full-time
- Remote
- SQL
- AWS
- Machine learning
- Dental care
- Paid time off
Quick apply
Data Scientist
Reflow —Toronto, ON
- Full-time
- Remote
- SQL
- Machine learning
- Python
Quick apply
Senior Data Scientist
Northbeam —Toronto, ON
- $170,000–$200,000 a year
- 8 hour shift
- Remote
- Doctoral degree
- Computer Science
- Master's degree
- Dental care
- Paid time off
Quick apply
Machine Learning Engineer / Data Scientist
Fusemachines —Remote
- Full-time
- Remote
- Azure
- SQL
- AWS
Data Analyst
CARMA Corp —Lindsay, ON
- $50,000–$55,000 a year
- Weekends as needed
- Microsoft Excel
- Computer Science
- DevOps
- Wellness program
- Mileage reimbursement
Quick apply
Data Engineer/Data Scientist
Recutify Inc. —Toronto, ON
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
Quick apply
Senior Data Scientist
Coalition, Inc. —Toronto, ON
- $123,600–$187,000 a year
- Remote
- Computer Science
- Databases
- SQL
- Dental care
- Paid time off
Quick apply
AI Engineer Intelligent Systems & Analytics
QMC Metering Solutions —North York, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Wellness program
- Commuter benefits
Quick apply
Senior Manager, Customer Resiliency Strategy and Analytics
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Analysis skills
- Bachelor's
- Recruiting
Software Development Manager - AI Solutions and Business Intelligence
LawDepot —Edmonton, AB
- $140,000–$175,000 a year
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Engineering
- Dental care
- Flexible schedule
Quick apply

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Computational Neuroscientist - AI Trainer

DataAnnotation -
Beamsville, ON

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Job details

Contract | Fixed term contract
$50.00–$140.56 an hour
3 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 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

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