Posted:1 month ago|
Platform:
Work from Office
Full Time
Smartan FitTech is a deep-tech startup revolutionizing the fitness ecosystem through cutting-edge computer vision and intelligent systems. We are currently expanding our team to support the development of AI-driven fitness products and solutions.
We are looking for a meticulous and tech-savvy individual to support our AI and engineering teams in datarelated operations. This role focuses on managing the complete data acquisition pipeline from raw data collection to final dataset preparation enabling high-quality inputs for machine learning and system calibration.
• Perform data collection in various indoor and outdoor environments, adhering to required protocols.
• Carry out data segregation based on pre-defined labels, attributes, and usability.
• Prepare structured datasets for training, validation, and testing purposes.
•Upload and organize data into specified directories in alignment with our version control and storage systems
• Conduct camera calibration and ensure all sensor systems are ready for data acquisition.
• Coordinate with the AI and software teams to meet data format and quality requirements.
•Maintain documentation of data collection sessions, file naming conventions, and calibration logs.
•Basic understanding of image/video data formats, storage structures, and annotation workflows.
• Experience or willingness to learn camera calibration and sensor setup.
• Familiarity with tools like OpenCV, Python (optional but preferred), and data transfer protocols.
•Ability to follow structured protocols and pay attention to detail.
•Good organizational and file management skills.
•Bachelor's degree or diploma in any field.
• Previous internship or project experience in data collection or preparation for machine learning.
•Background in Computer Science, Electronics, AI, Data Science, or related fields.
• Familiarity with computer vision pipelines is a plus.
•Opportunity to work on cutting-edge AI & computer vision systems. •Be part of a growing startup shaping the future of intelligent fitness tech.
• Collaborative work culture with exposure to cross-functional teams.
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