Remote/Work From Home - Media Search Analyst - English (UK)

TELUS Digital
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer (AI-Driven platform. Python/Snowflake)Remote £70k

Principal Machine Learning Engineer (London)

Lead Cyber Security Engineer

Data Scientist (KTP Associate)

Data Analyst

Data Analyst

Ready to say goodbye to the boring, traditional 9-5 routine and embrace a dynamic and exciting work environment that puts you in control? If you are an iOS device user who has a passion for Music, Video, and Apple products, this opportunity offers you the flexibility to set your own schedule and complete exciting tasks using an innovative web-based evaluation tool!

Tasks

A Day in the Life of a Media Search Analyst:

  • In this role, you will be doing a comprehensive assessment of diverse task categories, encompassing music, video, and home pod evaluations spanning various media domains
  • Analyzing and evaluating search outcomes for App Store Content and conducting research using online tools to assess and validate query accuracy and intent by applying market expertise in conjunction with provided directives to evaluate the relevance and purpose of task-related information for your specific market.

Join us today and have the chance to contribute to a global tech giant!

Requirements

Basic Requirements:

  • Having an email address associated with an up-to-date Apple ID
  • Owning an Apple device with experience and know-how of Apple products
  • Being a native speaker of an English language, with fluency in both written and spoken forms
  • Currently a resident in the United Kingdom for at least a year and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in the UK.
  • Having up-to-date familiarity with prevailing trends in applications, music & video with a keen interest in internet research.
  • Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance
  • Daily access to a broadband internet connection, computer, and relevant software
  • Independent working and the ability to adapt to innovative methodologies and processes with great attention to detail and exceptional communication skills
  • While a High School degree or higher certification is preferred, we are open to candidates with exceptional skills and talent.

Assessment

In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.

Note: Undergo ID verification exam on the next step of your application.

Equal Opportunity Employer

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.



TELUS Digital is at the forefront of creating and enhancing the world's data to enable better AI via human intelligence. Our solutions improve AI systems in multiple applications, such as advanced smart products, improved search results, expanded speech recognition, more human-like bot interactions, and more.

Join our global AI Community of 1 million+ annotators and linguists in helping companies in testing and improving machine learning models. Our flexible freelance opportunities allow you to work at your own pace and from the comfort of your own home.

What's in it for you?

  • Earn on your free time - be your own boss
  • Flexible schedule that fits your lifestyle
  • Long-term project, get paid per task
  • Get support from a global AI community

Join us today and be part of a dynamic and innovative team that is making a difference in the world!

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.