Data Labeling Intern: Train AI for Racket Sports

SwingVision; Berkeley (CA); On-site; USD 25,000 - 33,000; Part time

Job summary

SwingVision seeks a part-time Data Labeler in Berkeley, CA to help build our ball-tracking AI. You will record video on court, label tennis, pickleball, and padel balls, and work closely with the ML team.

You’ll maintain labeling accuracy above 95%, update guidelines, and provide interface feedback. The role requires fast keyboard/mouse use, good tennis/padel terms knowledge, and comfort with macOS; a passion for racket sports and games helps.

Qualifications

• Deep attention to detail, quality and patience.
• Agility in using a keyboard & mouse.
• Comfortable using macOS.
• Thorough knowledge of tennis, pickleball and padel terminology.

Responsibilities

• Record video of tennis, pickleball, padel players on the court.
• Accurately label images of balls and players.
• Maintain a labeling accuracy of greater than 95%.
• Update data labeling guidelines with edge cases and other difficult scenarios.
• Provide feedback to improve the labeling interface.

Skills

Attention to detail

Keyboard and mouse skills

MacOS proficiency

Racket sports knowledge

SwingVision app user

Tools

SwingVision app

Job description

SwingVision seeks a part-time Data Labeler in Berkeley, CA to help build our ball-tracking AI. You will record video on court, label tennis, pickleball, and padel balls, and work closely with the ML team.

You’ll maintain labeling accuracy above 95%, update guidelines, and provide interface feedback. The role requires fast keyboard/mouse use, good tennis/padel terms knowledge, and comfort with macOS; a passion for racket sports and games helps.