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Job Analysis:
This Online Data Analyst role at TELUS Digital AI is fundamentally designed to support the enhancement of digital mapping content by leveraging detailed research skills and deep familiarity with Spanish language and American cultural contexts. The candidate is primarily hired to verify, compare, and assess the accuracy and relevance of geospatial and cultural data using online tools and resources, contributing directly to the quality of AI training datasets. Success in this role requires meticulous attention to detail, strong internet research capabilities, and the ability to follow structured guidelines rigorously. Since the work is remote and part-time with flexible scheduling, self-discipline and independent problem-solving skills are critical. The role likely involves tackling ambiguous information, deciding what data is reliable, and adjusting to varied tasks beyond maps, such as news and audio relevance assessments. While no professional experience is mandated, passing a qualification exam implies a baseline cognitive and linguistic aptitude. Success is measured by consistent high-quality outputs that meet the company’s standards, supporting accurate AI model training on a global scale.
Company Analysis:
TELUS Digital AI & Data Solutions operates in the fast-evolving AI and machine learning industry, positioning itself as an enabler of technological progress through a large, diverse global community. As a platform that leverages crowdsourcing to curate and validate data in hundreds of languages, it exists as a bridge between human linguistic and cultural expertise and cutting-edge AI development. The company appears mission-driven with a strong emphasis on inclusivity, flexibility, and empowerment of individuals worldwide, especially through remote and part-time opportunities. This culture likely fosters a collaborative yet autonomous environment where contributors self-manage while aligning with quality objectives. For someone in this role, it means working within a diverse, innovation-focused community that values precision and cultural insights. The role is an individual contributor position directly tied to the company’s strategic goal of refining AI data quality, vital for maintaining TELUS Digital’s reputation and relevance in AI services. Long-term fit requires adaptability to continuous learning and a commitment to quality standards to thrive in the evolving, data-intensive ecosystem.