Master data specialist Jobs

AI Data Quality Specialist - AI Trainer
DataAnnotation —Laval, QC
- $55–$60 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
AI Training Specialist – Quantitative - AI Trainer
DataAnnotation —Hamilton, ON
- $55–$60 an hour
- Contract
- Remote
- Bilingual
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Customer Supply Chain Specialist
dbrand —Remote
- $70,000–$85,000 a year
- Full-time
- Remote
- Microsoft Excel
- English
- No university degree
- Profit sharing
- Dental care
Quick apply
10d
Master Data Specialist
The Byng Group —Concord, ON
- $70,000–$80,000 a year
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Quick apply
Clinical Data Management Specialist
Everest Clinical Research —Markham, ON
- $45,000–$70,000 a year
- Remote
- Master's degree
- In-person
- Disability insurance
- Dental care
Quick apply
Master Data Management Analyst and Specialist
London Drugs Limited —Richmond, BC
- $43,000–$53,000 a year
- Full-time
- Microsoft Excel
- ERP systems
- SQL
- Dental care
- Vision care
Quick apply
Global Clinical Master Data Specialist
Roche —Mississauga, ON
- Computer Science
- English
- Master's degree
5d
Evaluation and Data Specialist
Luna Child and Youth Advocacy Centre —Calgary, AB
- Full-time
- Microsoft Excel
- Data analysis skills
- Master's degree
5d
Nurse Practitioner NPLC Clinic Full Time
CMHA Durham —Oshawa, ON
- $120,000–$123,400 a year
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Nursing
Quick apply
Nurse Practitioner (CMHA)
Algoma Nurse Practitioner-Led Clinic —Sault Ste. Marie, ON
- $64.35 an hour
- Full-time
- Nursing
- BLS Certification
- Master's degree
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Customer Quality Engineer
Romet Limited Canada —Mississauga, ON
- $80,000–$88,000 a year
- Sales
- Engineering
- ERP systems
Planning and Data Analyst
City of Edmonton —Edmonton, AB
- $90,925.68–$114,897.81 a year
- Full-time
- Hybrid work
- Data analysis skills
- Master's degree
- Project management
9h
Specialist, Data Custodian
Vale —Toronto, ON
- $112,000 a year
- Azure
- Computer Science
- Engineering
- Dental care
7d
Senior Enterprise Operations Solutions Specialist
CAAT Pension Plan —Toronto, ON
- $107,000–$133,700 a year
- Full-time
- Computer Science
- Salesforce
- Engineering
- Wellness program
Quick apply
11d
Specialist, Data Quality Developer
Vale —Toronto, ON
- $112,000 a year
- Azure
- Computer Science
- DevOps
- Dental care
7d
Customs Trade Compliance and Operations Manager
PCI Panasonic Canada Inc. —Mississauga, ON
- $72,985–$115,000 a year
- Full-time
- Hybrid work
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
- Dental care
- Tuition reimbursement
Nurse Practitioner
Credit Valley Family Health Team —Mississauga, ON
- $63–$75 an hour
- Temporary
- Bilingual
- Microsoft Word
- Nursing
Quick apply
Senior Financial Systems & Analytics Specialist
Health PEI —Charlottetown, PE
- $48.58–$74.63 an hour
- Full-time
- Microsoft Excel
- Oracle
- Computer Science
Quick apply
Procurement & Supply Chain Specialist
CRYOPAK INC —Anjou, QC
- Full-time
- Bilingual
- Microsoft Excel
- Inventory management
Quick apply
IT validation spécialist
Neopharm Labs —Blainville, QC
- Full-time
- Bilingual
- Computer Science
- Engineering
- Employee assistance program
- Flexible schedule
Quick apply

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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.

Quick apply

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