Montréal, Qc Technical recruiter, ai Jobs – 649 Openings This Week

AI Data Quality Specialist - AI Trainer
DataAnnotation —Laval, QC
- $55–$60 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
ML Ops Engineer (m/w/d)
ENERCON GmbH —Montréal, QC
- Azure
- DevOps
1d
AI Talent Opportunities
LGI Healthcare Solutions Santé Inc. —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- English
- Communication skills
- Employee assistance program
Quick apply
1d
Junior Data Scientist
mthree Recruiting Portal —Montréal, QC
- $85,000 a year
- Python
AI Developer II Intermediate
Intact —Montréal, QC
- $94,200–$115,200 a year
- Full-time
- Hybrid work
- Bilingual
- Computer Science
- Engineering
- Employee stock purchase plan
8d
Generative AI Software Engineer
Apertera —Montréal, QC
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5d
Recruiter (IT/Eng) - 0034341
ManpowerGroup —Montréal, QC
- $45,000–$75,000 a year
- Full-time
- Hybrid work
- High school diploma or GED
- No travel
- Leadership
- Disability insurance
- Dental care
11d
Expert Developer – Application Modernization & Generative AI
CGI —Montréal, QC
- $90,000–$175,000 a year
- Full-time
- Azure
- DevOps
- Java
Quick apply
Automation Specialist – AI Workflows
Systèmes Sous-sol Québec —Laval, QC
- $60,000–$100,000 a year
- Full-time
- CRM software
- English
- Databases
- Dental care
- Paid time off
Quick apply
11d
Lead Gen AI
WISSEN TECHNOLOGY PRIVATE LIMITED —Montréal, QC
- Full-time
- Azure
- Computer Science
- DevOps
- Disability insurance
- Dental care
Quick apply
AI Developer
Fiera Capital —Montréal, QC
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Senior AI & Data Governance Lead (1865)
Direct IT Recruiting Inc. —Montréal, QC
- From $130 an hour
- 8 hour shift
- Hybrid work
- Bilingual
- PMP
- English
Quick apply
11h
AI Platform Administration Manager
Maarut Inc —Montréal, QC
- Contract
- Hybrid work
- Azure
- DevOps
- No experience needed
Quick apply
15h
AI Customer Experience Specialist ( Beauty industry)
Recrutement Prestige —Montréal, QC
- Bilingual
- Analysis skills
- In-person
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Architect - AI Security & LLM - 12 months - Montreal (downtown) - Hybrid
CorGTA —Montréal, QC
- $120–$129 an hour
- Hybrid work
- Azure
- Computer Science
- AWS
4d
Développeur en apprentissage automatique III / Machine Learning Developer III
Trane Technologies —Montréal, QC
- $111,308.33–$155,435.00 a year
- Full-time
- Bilingual
- Computer science
- Computer Science
Coordonnateur.trice - Soutien aux chercheurs
Mila - Institut québécois d'intelligence artificielle —Montréal, QC
- Up to $82,000 a year
- Full-time
- Hybrid work
- Bilingual
- Google Suite
- English
- Disability insurance
- Dental care
Quick apply
1d
Analyste d'affaires BI/AI (EH)
Totem Recrutement —Montréal, QC
- Hybrid work
- Bachelor's
- Business
- Designated paid holidays
- Dental care
Quick apply
8d
Principal Software Engineer, AI Systems
ReClick.io —Montréal, QC
- $140,000–$180,000 a year
- Full-time
- APIs
- In-person
- AI
Quick apply
1d
Jr Software Engineer
Trane Technologies —Montréal, QC
- $59,500–$84,560 a year
- Full-time
- Bilingual
- Computer Science
- Engineering
8d

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AI Data Quality Specialist - AI Trainer

DataAnnotation -
Laval, QC

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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

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 AI Data Quality Specialist - 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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