regina, sk technical trainer Jobs – 7 Openings This Week

Operations Research Analyst - AI Trainer
DataAnnotation —Regina, SK
- $55–$60 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
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Fitness, Sports and Recreation Coordinator/Supervisor
CFMWS —Saskatchewan
- $76,840–$97,270 a year
- Weekends as needed
- Bilingual
- CPR Certification
- Inventory management
- Wellness program
- Disability insurance
12d
Technical Trainer
Brandt —Regina, SK
- Schematics
- Writing skills
- Microsoft Office
Quick apply
9d
Senior Business Solutions Specialist
City of Regina —Regina, SK
- $39.44–$49.32 an hour
- On call
- Computer Science
- Administrative experience
- SQL
11d
CWB Weld Inspector Level 2
Dumur Industries —White City, SK
- $40–$48 an hour
- Full-time
- CAD
- Customer service
- Laboratory experience
- Dental care
ServiceNow AI Architect in Canada
KAnand Corporation —Canada
- $70–$80 an hour
- Contract
- Remote
- Azure
- APIs
- AI
Quick apply
1d

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Operations Research Analyst - AI Trainer

DataAnnotation
Regina, SK

Quick apply

Job details

Contract | Fixed term contract

Benefits

Flexible schedule

Skills

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 Operations Research Analyst - 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.

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technical trainer jobs in regina, sk

Operations Research Analyst - AI Trainer

Fitness, Sports and Recreation Coordinator/Supervisor

Technical Trainer

Senior Business Solutions Specialist

CWB Weld Inspector Level 2

ServiceNow AI Architect in Canada

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