Job Title: Match Annotator – Football Data & Analytics Company: Statmagic Sports LLP (Brand: PlayerNation) Location: Bangalore (In-person) Employment Type: Full time (6 Days/Week) Interview Mode: Virtual Joining: Immediate Job Overview PlayerNation is looking for Match Annotators to analyze football matches and convert match events into accurate, structured datasets. The role involves data annotation, data cleaning, quality checks, and supporting analytics and machine-learning workflows. Training will be provided, so prior annotation experience is not required.

Key Responsibilities Watch and analyze football matches Identify and annotate key events and actions from match footage Convert video data into structured datasets Prepare and clean data for analytics and machine-learning projects Identify inconsistencies and maintain data quality Follow annotation guidelines and quality-control processes Incorporate feedback and ensure dataset accuracy Candidate Requirements Interest in football and data analytics, statistics,



engineering, computer science, or analytical work Strong attention to detail Problem-solving mindset Ability to follow structured processes Ability to identify patterns and inconsistencies Basic understanding of football (preferred but not mandatory) Interest in machine learning, analytics, or sports technology Willingness to learn and grow in a data-focused role No previous annotation experience required Salary & Growth ₹20,000 per month for the first 6 months Top performers can progress to a CTC of ₹3 LPA after 6 months Opportunities to work on advanced analytics and data-related projects based on performance Growth Opportunities Top performers may contribute to: Data analysis and research Data preparation and quality improvement Analytics workflows Football ratings engine development Other data-driven projects

📌 Sports Analyst (Bengaluru)
🏢 Statmagic Sports
📍 Bengaluru