Dartmouth, Ns Data scientists & statisticians Jobs – 10 Openings This Week

Applied Scientist - AI Trainer
DataAnnotation —Halifax, NS
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
13d
Experimentation Analyst - AI Trainer
DataAnnotation —Halifax, NS
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
13d
Data Scientist, Marketing Analytics
Bell —Halifax, NS
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Dental care
Lead Developer - Research & Development
Citco —Halifax, NS
- Full-time
- Computer Science
- AWS
- Machine learning
Scientifique de données, analytique marketing
Bell —Halifax, NS
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Computer Vision Engineer
Innovasea —Bedford, NS
- Full-time
- Hybrid work
- C++
- APIs
- Python
- Dental care
- Paid time off
Quick apply
10d
Senior Computer Vision Engineer
Innovasea —Bedford, NS
- Full-time
- Hybrid work
- C++
- APIs
- Python
- Dental care
- Paid time off
Quick apply
Senior AI Engineer, Platform Engineering
ResMed —Halifax, NS
- Full-time
- Databases
- APIs
- AI

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Experimentation Analyst - AI Trainer
DataAnnotation —Halifax, NS
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD)…
$50.00–$140.56 an hour
Quick apply
13d

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Data Scientist - AI Trainer
DataAnnotation —Markham, ON
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD)…
$50.00–$140.56 an hour
Quick apply
13d
Analytics Engineer - AI Trainer
DataAnnotation —Oshawa, ON
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD)…
$50.00–$140.56 an hour
Quick apply
13d

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Applied Scientist - AI Trainer

DataAnnotation
Halifax, NS

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Job details

Contract | Fixed term contract
13 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 Applied 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

data scientists & statisticians jobs in dartmouth, ns

Applied Scientist - AI Trainer

Experimentation Analyst - AI Trainer

Data Scientist, Marketing Analytics

Lead Developer - Research & Development

Scientifique de données, analytique marketing

Computer Vision Engineer

Senior Computer Vision Engineer

Senior AI Engineer, Platform Engineering

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