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Job Analysis:
This role is fundamentally designed to contribute to the enhancement of artificial intelligence systems by providing high-quality human movement data via video recordings. The key purpose is to generate diverse, accurate, and representative movement samples that help improve machine learning models focused on human motion recognition. Because the study targets participants from all demographics, including minors (with guardians), the job requires sensitivity to inclusivity, compliance with consent protocols, and the ability to follow precise instructions during the data collection sessions. Although the tasks themselves—such as walking or sitting—seem straightforward, the underlying challenge lies in ensuring the consistency and quality of the recorded data while maintaining participant comfort and adherence to research protocols. Success in this role is measured by timely attendance, adherence to session protocols, and providing reliable, unbiased data that reflects true human movements across diverse populations. Participants must be punctual, able to follow directions, and comfortable being recorded, as the accuracy and usability of the AI models depend heavily on the quality and diversity of input data.
Company Analysis:
TELUS Digital AI & Data Solutions operates as a global technology enabler within the AI and machine learning ecosystem, leveraging a vast, diverse community to enhance data quality across multiple modalities and languages. Positioned as part of a large, stable parent company (TELUS Corporation), TELUS Digital balances innovation with operational excellence in telecommunications and digital services. The company's culture promotes agility, inclusiveness, and a mission to reduce bias in AI, which aligns directly with the job’s focus on diversity and data representativeness. For someone in this role, the environment likely values trustworthiness, conscientiousness, and active participation in a community-driven project to advance AI fairness and accuracy. The role is part-time and somewhat transactional, fitting into TELUS Digital’s broader effort to crowdsource multifaceted data for AI training. While it may not involve leadership or complex decision-making, it offers an opportunity for participants to contribute meaningfully to cutting-edge AI research, supported by a company that stresses ethical data use and inclusivity. Long-term success within the company’s community likely involves ongoing engagement, reliability, and alignment with TELUS Digital’s values of innovation, customer-first thinking, and diversity.