Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Personalized Internet Assessor (English Speaker)

Telus International
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Scientist (Recommender Systems) - Viator

Data Scientist - Monitoring & Alerting Infrastructure

Staff Machine Learning Platform/Ops Engineer Location: Kyiv, Ukraine; London, United Kingdom

Staff Machine Learning Scientist

Senior Machine Learning Platform/Ops Engineer Location: London, United Kingdom

DataOps Engineer GSK0JP00107039

We help companies test and improve machine learning models via our global AI Community of 1 million+ annotators and linguists. Our proprietary AI training platform handles all data types (text, images, audio, video and geo) across 500+ languages and dialects. Our AI Data Solutions vastly enhance AI systems across a range of applications from advanced smart products, to better search results, to expanded speech recognition, to more human-like bot interactions and so much more.

The Role

In this role, you'll assess online search results to enhance their quality. You'll analyze and rate content relevance to search terms, while also reviewing language for grammar, tone, and cultural appropriateness. Your contribution improves a major search engine's quality by evaluating web content using your PC and smartphone.

 

We're searching for individuals who are passionate about social media and regular users of Gmail. This remote position requires ownership and daily use of a smartphone and familiarity with various social media platforms and Google products. Your reliability, adaptability, and adherence to guidelines are key.

 

This role offers the freedom to work remotely, allowing you to set your hours based on task availability.

The estimated earnings for this role is 10.75 GBP per hour. Payment is based on completed tasks, with potential for higher earnings based on productivity.

Ideal Profile

Requirements

  • Proficiency in English
  • Residency in the United Kingdom for the past 5 consecutive years
  • Ownership and regular use of a smartphone (Android V4.2 or higher or iPhone running iOS version 14.0 or higher) and a desktop/laptop with internet connection at your expense.
  • Gmail as your primary email account
  • Familiarity with current and historical business, media, sport, news, social media and cultural affairs in your country of residency.
  • Experience in navigating web browsers and smartphone apps for content interaction.
  • Understanding of various social media environments, including memes, virality, and trends

 

Successful applicants will undergo a standard recruitment process, including an English language test and an open book assessment. The role involves occasional quality assurance checks and offers long-term.

What's on Offer?

  • Earn extra income
  • Access to our community wellbeing initiative
  • Remote work & Location Independence
  • Be your own boss
  • Flexible Hours to fit in with your lifestyle
  • Be a part of an online community

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.