National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

English (Australia) Localization QA Tester Part-Time (Remote) in UK

Welocalize
4 months ago
Applications closed

Related Jobs

View all jobs

Remote: Online Data Analyst - English Speakers living in United Kingdom

Business development Manager (Staffing Consultancy)

Business development Manager (Staffing Consultancy)

Data Collector

Data Scientist - AI Trainer

Senior Audit Data Analyst

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 languages with a growing network of over , 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. 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.Job SummaryWelocalize is offering an exciting opportunity for those who enjoy a mix of linguistic and technical work. We are seeking a Localization QA Tester / Proofreader with native-level fluency in English (Australia) and strong technical skills.In this role, you will test a variety of applications and tools, execute test cases, identify localization issues, and report them through our internal bug-tracking system. You will also verify fixes once implemented.This is a fully remote, part-time position with a fixed-term contract for one year (with the possibility of extension). The schedule is hours per week, with shifts of 4 hours per day (to be determined).Key Responsibilities· Test web-based systems and applications on Mac OS X and iOS· Execute test cases and scripts to ensure localization accuracy· Identify, report, and track localization bugs using an internal bug tracking system· Verify fixes and ensure linguistic and functional quality· Prioritize linguistic issues, distinguishing between critical and non-critical errors· Clearly document and communicate issue reproduction steps· Collaborate with diverse teams in a fast-paced environmentRequirements· Native-level fluency in English (Australia) (grammar, vocabulary, composition, punctuation)· Fluency in English (written and spoken)· Experience in translation, localization, or linguistic QA· Strong technical skills and ability to troubleshoot issues· Familiarity with bug-tracking systems and test case execution· Ability to work independently and in a team-oriented environment· Strong problem-solving skills and attention to detail· Ability to work under pressure in a dynamic setting· Must be legally based in the country listed in the job postingWhy Join Us?· Work with a globally recognized localization leader· Gain hands-on experience in linguistic QA and software testing· Collaborate with an international, multicultural teamApply today and become part of our dynamic localization QA team!

National AI Awards 2025

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 to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.