French Canadian Linguist

Welocalize
united kingdom
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer – Data Extraction & Warehouse Management

Data Scientist in Power Electrical Systems

VIE-Data Scientist(M/F/D)

Data Analyst - Farming Operations

Data Engineer

Data Engineer

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

OVERVIEW

TheFrench Canadian Linguistperforms quality control tasks and on-demand translation tasks, and takes on linguistic lead functions on assigned projects; coordinates the activities of a group of translators for assigned accounts or projects, trains and develops freelancers, and ensures that the work is performed at a satisfactorily high standard within the specified deadlines and quality level; ensures that the Language Process is being followed by the project/account team.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Performing quality control tasks on assigned projects or accounts (EN > FRCA);
  • Performing on-demand translation tasks (EN > FRCA);
  • Performing trans-creation, translation and post-editing tasks (EN > FRCA);
  • Performing other translation-related admin tasks (EN > FRCA);
  • Managing project-related queries;
  • Preparing, managing, and maintaining the language materials (including glossaries, Style Guides, work instruction) up to quality standards and up to date;
  • Interacting with clients on linguistic matters as required;
  • Developing and training new and existing freelancers according to the accounts’ and Welocalize’s needs;
  • Ensuring good interaction among team members and resolving questions on terminology and language matters;
  • Participating in the development of new and improved working processes;
  • Achieving the goals set by the French Team Lead.

EDUCATIONAL LEVEL

  • University degree in Translation/Applied Languages or equivalent combination of education and experience;
  • 4+ years of relevant experience in the translation and localization industry.

MAIN REQUIREMENTS

  • Fluent in French Canadian (native level), both written and spoken, fluent in English, both written and spoken;
  • Experienced as a translator in Mobile Apps, Search Engines, IT Consumer Products, Entertainment, Marketing, Software UI, Websites is a plus;
  • Excellent feel for language (source/target);
  • Knowledge of terminology in the following subject mattersIT consumer products, social media and entertainment;
  • Thorough understanding of the localization process;
  • Excellent user experience of standard software, such as Windows and Office applications and standard CAT tools;
  • Ability to learn new localization tools and applications quickly;
  • Ability to effectively present information and respond to questions from groups of managers, clients, customers and translators;
  • Ability to work with tight deadlines;
  • Excellent interpersonal, written and verbal communication skills;
  • Ability and willingness to train/teach others and pass on knowledge;
  • Ability to work in a virtual team.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.