Data scientist Jobs

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Staff Data Scientist - AI Trainer
DataAnnotation —Coquitlam, BC
- $55–$60 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Academic Researcher - AI Trainer
DataAnnotation —Abbotsford, BC
- $55–$60 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
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 - Risk
Shakepay —Remote
- $200,000–$250,000 a year
- Remote
- English
- SQL
- Machine learning
- Dental care
- Paid time off
Principal Data Scientist
J.D. Power —Remote
- $130,000–$195,000 a year
- Full-time
- Remote
- Microsoft Excel
- Doctoral degree
- Master's degree
Data Scientist
Kruger Products —Remote
- $95,000–$125,000 a year
- Full-time
- Remote
- Bilingual
- Azure
- Doctoral degree
Data Scientist
Xplore Inc —Ontario
- Full-time
- Remote
- Computer Science
- Master's degree
- SQL
Quick apply
10d
Junior Data Scientist
mthree Recruiting Portal —Montréal, QC
- $85,000 a year
- Python
Senior Data Scientist - Risk
Shakepay —Remote
- $150,000–$200,000 a year
- Remote
- English
- SQL
- Machine learning
- Dental care
- Paid time off
Data Scientist II
Remitly —Burnaby, BC
- $128,000–$144,000 a year
Data Scientist
raisin Software —Remote
- $90,000–$120,000 a year
- Remote
- Computer Science
- Engineering
- SQL
Quick apply
Data Scientist
Ontario Teachers' Pension Plan —Toronto, ON
- $105,000–$155,000 a year
- Full-time
- Computer science
- Doctoral degree
- Master's degree
7d
Data Scientist II
Intact —Quebec City, QC
- $94,200–$115,200 a year
- Full-time
- Hybrid work
- Bilingual
- Doctoral degree
- Computer Science
- Employee stock purchase plan
data scientist
ONIKON Creative Lab —Shediac, NB
- $42–$45 an hour
- Overtime
- English
- SQL
- Bachelor's
Data Scientist
Tata Consultancy Services —Toronto, ON
- $90,000–$110,000 a year
- AWS
- Machine learning
- Software development
Data Scientist, Product Analytics
Leap Tools —Toronto, ON
- $80,000–$110,000 a year
- Full-time
- Remote
- SQL
- Machine learning
- Python
Data Scientist
Aviva —Markham, ON
- $80,000–$120,000 a year
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Machine Learning Engineer / Data Scientist
Fusemachines —Remote
- Full-time
- Remote
- Azure
- SQL
- AWS
Data Scientist
Gibraltar Mine —Mcleese Lake, BC
- $102,700–$128,300 a year
- Full-time
- Computer Science
- Engineering
- SQL
- Disability insurance
- Dental care
Scientist – Digital Discovery: Biological Data Systems & Machine Learning
Amgen —Burnaby, BC
- $109,254.75–$147,815.00 a year
- Doctoral degree
- Laboratory experience
- Master's degree

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Staff Data Scientist - AI Trainer

DataAnnotation -
Coquitlam, BC

Quick apply

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

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an experienced Staff Data Scientist - AI Trainer to help advance AI development. 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.

As a member of DataAnnotation's team, 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. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

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.

Benefits:

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.
Competitive pay: projects are paid hourly, up to $60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
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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