Data scientist remote Jobs

Research Data Scientist - AI Trainer
DataAnnotation —Kelowna, BC
- $55–$60 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Political Scientist - AI Trainer
DataAnnotation —Nanaimo, BC
- $55–$60 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Staff Data Scientist - AI Trainer
DataAnnotation —Coquitlam, BC
- $55–$60 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Data Scientist
Momentum Financial Services Group —Toronto, ON
- $95,000–$105,000 a year
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
- Dental care
- Tuition reimbursement
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Data Analytical Specialist/Scientist - Senior
Bevertec —Toronto, ON
- $70–$75 an hour
- Hybrid work
- Azure
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FinTech Data Scientist
BESPOKE ORIGINAL DESIGN INCORPORATED —Toronto, ON
- $2,400 a week
- Part-time
- Hybrid work
- Java
- Databases
- SQL
Quick apply
4d
Data Scientist
FutureFit AI —Toronto, ON
- $100,000–$155,000 a year
- Full-time
- Remote
- SQL
- AWS
- Travel
12d
Lead Data Scientist (remote)
Ample Insight Inc. —Toronto, ON
- Remote
- Doctoral degree
- Computer Science
- DevOps
Quick apply
Data Scientist – AI & Analytics Applications
Tri-global Solutions Group Inc. —Remote
- Up to $95 an hour
- Contract
- Azure
- Computer Science
- SQL
Data Scientist
Kruger Products —Remote
- $95,000–$125,000 a year
- Full-time
- Remote
- Bilingual
- Azure
- Doctoral degree
Data Administrator (Remote - Canada ONLY)
Ample Insight Inc. —Toronto, ON
- Contract
- Remote
- Microsoft Powerpoint
- Microsoft Excel
- Customer service
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Staff Data Scientist - Risk
Shakepay —Toronto, ON
- $200,000–$250,000 a year
- Remote
- English
- SQL
- Machine learning
- Dental care
- Paid time off
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Principal Data Scientist
J.D. Power —Remote
- $130,000–$195,000 a year
- Full-time
- Remote
- Microsoft Excel
- Doctoral degree
- Master's degree
Research Assistant II GEMINI Data
Unity Health Toronto —Toronto, ON
- Temporary
- Remote
- Microsoft Office
- Communication skills
- Hospital experience
7d
Senior Data Scientist II - AI for Analytics
Instacart —Ontario
- $192,000–$202,500 a year
- Remote
- SQL
- Analysis skills
- Machine learning
9d
Data Scientist
Ontario Teachers' Pension Plan —Toronto, ON
- $105,000–$155,000 a year
- Full-time
- Computer science
- Doctoral degree
- Master's degree
Environmental Data Management Specialist
Terran Data Inc —Remote
- $55,000–$85,000 a year
- Part-time
- Remote
- Spanish
- Microsoft Excel
- Engineering
- Work from home
- Flexible schedule
Quick apply
4h
Data Scientist / ML Engineer (Antarctica Capital)
EarthDaily Analytics —Remote
- $145,000–$170,000 a year
- Full-time
- Remote
- AWS
- Machine learning
- APIs
Staff Data Scientist– Pricing Science
CSC Generation —Remote
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Master's degree
- Dental care
- Paid time off
Quick apply
AI Engineer/FDE/Data Scientist
Kiln AI —Greater Toronto Area, ON
- $80,000–$150,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Engineering
Quick apply

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Research Data Scientist - AI Trainer

DataAnnotation -
Kelowna, BC

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Job details

Contract | Fixed term contract
$55–$60 an hour

Qualifications

Bilingual
Doctoral degree
Computer Science
Writing skills
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 Research Data 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, up to $60 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:

2+ 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 is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a 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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