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Data Expert Jobs in Quebec (NOW HIRING)

GIRO, Inc.

Expert Data Science Developer

Montreal, QC · On-site +1

Data manipulation and transformation; Model selection, training, and validation; Implementation and integration into our software product suite. * Documenting and testing developments. * Providing ...

SAP

Data Science Chief Expert, CX

Montreal, QC

The Data and Applied Science team will build the semantic and contextual foundation of SAP's AI. While generic AI agents operate on surface-level patterns, SAP agents are accurate because they ...

HollisWealth

Data Governance Advisor

Montreal, QC · Hybrid

Possesses at least three years of recent experience in a Data Governance Advisor or Expert role; * Has experience working with recognized frameworks such as DAMA DMBOK2 and EDM Council DCAM V2;

HollisWealth

Data Governance Advisor

Quebec, QC · Hybrid

Possesses at least three years of recent experience in a Data Governance Advisor or Expert role; * Has experience working with recognized frameworks such as DAMA DMBOK2 and EDM Council DCAM V2;

Archera

Software Engineer, Data Quality

Quebec, QC · Remote

Interest in becoming the definitive expert on how three cloud providers each represent billing ... Data-quality frameworks such as dbt tests, Great Expectations, or Soda. * Workflow orchestration ...

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All JobsData Expert JobsData Expert Jobs in Quebec

Data Expert information

What is the difference between Data Expert vs Data Analyst?

AspectData ExpertData Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like CAP, Microsoft Data AnalystBachelor's in related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentCollaborates across departments, often involved in strategic data initiativesAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsBusiness, marketing, finance, healthcare sectors

While both roles involve working with data, a Data Expert typically has a broader scope, focusing on complex data strategies and cross-departmental projects. A Data Analyst primarily interprets data, creates reports, and supports operational decisions. The roles often overlap, but Data Experts usually possess more advanced skills and responsibilities.

Data Expert jobs near you
Infographic showing various Data Expert job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

SWE AI Training Data Expert - Remote

YO AI Labs

Montreal, QC • Remote

$80 - $120/hr

Full-time

Posted 7 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.