
Online Data Analyst - United States Spanish speakers
TELUS International- In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide
- Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.
- Full Professional Proficiency in Spanish language
- Being a resident in United States for the last 5 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in United States
- Ability to follow guidelines and conduct online research using search engines, online maps, and website information
- 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
Opens the company's application page
Listed via
Jobicy
jobicy.com
Similar roles

Data Analyst
Harnham - Data & Analytics Recruitment

Senior Data Analyst
Harnham - Data & Analytics Recruitment

Service Charge Data Analyst
Robertson Bell
Data Analyst
R3vamp Limited
Design & Tech
Related reads from TCHNX

Why AI Design Tools Are Quietly Replacing Junior Designers and What Actually Comes Next
AI tools promise efficiency, but London studios are discovering an unexpected paradox: automation creates new bottlenecks requiring precisely the expertise being eliminated. We investigate what's actually happening to entry-level design work.

The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.

The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.