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TROOPERS is seeking a data labeling specialist in Malaysia to convert raw footage of manual workers into clean, structured, and labelled data for robotics training. You will ensure data quality, establish labeling workflows, and collaborate with robotics teams to meet project standards.
You will research training data formats, set up labeling pipelines using leading tools (Label Studio, CVAT, Roboflow), and label clips with consistent accuracy to support robot learning initiatives.
Role Overview : You will be taking raw footage of manual workers and turning it into clean, structured, labelled data that robotics companies can use to train their robots. Quality is everything in this role — bad data is worse than no data_
Key Responsibilities:_