Data Acquisition & Preparation Associate

Data Acquisition & Preparation Associate

Adyar, Chennai

About Smartan:

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.

Role Overview:

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.

Important: This job requires frequent travel to data collection sites.

Key Responsibilities:

  • 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 data sets 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. Required Skills:
  • 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.

Preferred Qualifications:

  • 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.

Why Join Us?

  • 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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