Columbus Ai/ml data scientist Jobs – 19 Openings This Week

Machine Learning Scientist - AI Trainer
DataAnnotation —Whitby, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Data Scientist - AI Trainer
DataAnnotation —Markham, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Clinical Data Scientist - AI Trainer
DataAnnotation —Newmarket, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Product Owner – LMP AI Workflows
Sanofi —Toronto, ON
- $125,300.00–$180,966.66 a year
- Computer Science
- AWS
- Bachelor's
6d
Lead Scientist - Applied ML
Canadian Tire Corporation, Ltd. —Toronto, ON
- $79,000–$131,000 a year
- Full-time
- SQL
- In-person
- Python
- Store discount
- Profit sharing
Quick apply
Clinical Data Scientist - AI Trainer
DataAnnotation —North York, ON
- $50.00–$140.56 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Principal Data Engineer
Tangerine Bank —Toronto, ON
- Azure
- DevOps
- AWS
Senior Data Engineer
Tangerine Bank —Toronto, ON
- DevOps
- Communication skills
Data Scientist II
Mastercard —Toronto, ON
- $91,000–$140,000 a year
- Full-time
- Computer Science
- SQL
- Bachelor's
Lead Data Scientist - R&D
Mastercard —Toronto, ON
- $127,000–$203,000 a year
- Full-time
- Azure
- SQL
- Machine learning
Data Scientist or Decision Scientist
Venterra Realty —Richmond Hill, ON
- $110,000–$140,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- DevOps
- Engineering
Quick apply
14d
Senior Data Scientist
DAC Group / Canada Ltd. —Toronto, ON
- $90,000–$130,000 a year
- Full-time
- Hybrid work
- Master's degree
- SQL
- Business development
- Dental care
- Tuition reimbursement
Quick apply
Chief Operating Officer (COO)
OTT Financial Group —Toronto, ON
- Full-time
- Computer Science
- DevOps
- Engineering
- Disability insurance
- Dental care
Quick apply
Senior Cloud Data Platform Engineer
Questrade Financial Group —Toronto, ON
- $130,000–$150,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
Quick apply
Advance Process Control and Optimization Delivery Lead
Baker Hughes —Toronto, ON
- Full-time
- Engineering
- Bachelor's
- Communication skills
- Life insurance

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AI Engineering Lead
Definity Financial Corporation —Toronto, ON
A bachelor's or master's degree in computer science, or Computer/Software Engineering, Data Science, Artificial Intelligence, or a related field; a Ph.D. is a…
$108,700–$158,700 a year
Machine Learning Scientist - AI Trainer
DataAnnotation —Whitby, 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
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Machine Learning Scientist - AI Trainer

DataAnnotation
Whitby, ON

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Job details

Contract | Fixed term contract

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 Machine Learning 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

ai/ml data scientist jobs in columbus

Machine Learning Scientist - AI Trainer

Data Scientist - AI Trainer

Clinical Data Scientist - AI Trainer

Product Owner – LMP AI Workflows

Lead Scientist - Applied ML

Clinical Data Scientist - AI Trainer

Principal Data Engineer

Senior Data Engineer

Data Scientist II

Lead Data Scientist - R&D

Data Scientist or Decision Scientist

Senior Data Scientist

Chief Operating Officer (COO)

Senior Cloud Data Platform Engineer

Advance Process Control and Optimization Delivery Lead

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