Perform second-pass reviews of French (Canada) customer service content, improve machine-translated output for accuracy and naturalness, validate severity assessments, identify systemic MT issues and terminology inconsistencies, and provide actionable feedback for quality reporting and continuous improvement.
We are looking for experienced language professionals to support an ongoing project focused on reviewing and refining French (Canada) customer service content. This role involves improving machine-translated materials to ensure accuracy, natural language, and alignment with project guidelines.
What you’ll do
Conduct second-pass quality reviews to ensure overall linguistic accuracy and consistency across batches.
Validate and calibrate severity assessments to maintain alignment with quality standards.
Identify systemic MT quality issues, including recurring error patterns, tone mismatches, and terminology inconsistencies.
Provide high-level qualitative feedback that directly contributes to final quality reporting and continuous improvement efforts.
Project details
Language: French (Canada)
Content type: Customer service content (general)
Project duration: OngoingThis role involves intermittent work, with tasks assigned on an ad hoc basis throughout the year depending on client needs. Volumes and timing may vary.
Hourly rate: $34.04
Requirements
- Native proficiency in French (Canada) and strong English skills.
- Experience in linguistic quality review, MT evaluation, or localization quality assurance.
- Strong familiarity with linguistic QA frameworks and error classification.
- Excellent attention to detail and a quality-focused, analytical mindset.
- Ability to work independently and provide clear, actionable quality feedback.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Sell SaaS licenses and generate new business through account and territory planning, prospect research, and field sales. Build C-suite relationships, lead cross-functional account strategies, advise on IT roadmaps and AI integration, identify specialists to win deals, negotiate contracts, and meet sales targets. Role requires travel and collaboration with solutions, success, partners, and marketing teams.
Top Skills:
AISaaSServicenow
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead end-to-end COGS and gross margin analysis across hardware and software product lines. Build scenario models, quantify cost-saving opportunities, and present defensible recommendations to C-suite. Tackle ambiguous executive questions, partner with data engineering, finance, and product to establish reliable datasets, and drive analytical best practices and documentation. Operate autonomously with high ownership.
Top Skills:
SQL
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, develop, debug, and test cloud-connected firmware features (C/C++ and Go). Support and scale IoT device fleet, build observability and rollout metrics, triage customer/QA issues, and collaborate cross-functionally to deliver production-ready firmware.
Top Skills:
BuildkiteC++CanCan-UtilsDatabricksGoGraphQLLinuxLinux DriversLteSocUsbWifi
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal



