Data Labeling Intern

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 is the AI racket sports app that provides automated stats, highlights, and line calling using just your phone. Our mission is to democratize the pro sports experience for all athletes.

Led by AI experts from Tesla & Apple, we are a small but passionate team building a category-leading consumer product and pushing the limits of what’s possible on a mobile device.

Recent achievements include:

• Apple Design Award, Editors' Choice on the App Store, and 4x App of the Day
• Featured in Apple Keynote events, Forbes, Financial Times & The New York Times
• Trusted by 500k+ players, coaches, and federations all across the globe
• $10m+ raised from Sony, Tennis Australia and Andy Roddick

The Role

We are currently seeking part-time Data Labelers to bring our ball-tracking A.I. to all racket sports. As a data labeler in our startup, you will work alongside our Machine Learning team in Berkeley, CA, become knowledgeable in basic computer vision concepts, and learn how a consumer artificial intelligence product is made.

• Record video of tennis, pickleball, padel players on the court
• Accurately label images of tennis/pickleball/padel balls and players
• Update data labeling guidelines with edge cases and other difficult scenarios
• Provide feedback & suggestions to help improve the design of our labeling interface
• Maintain a labeling accuracy of greater than 95%
• Agility in using a keyboard & mouse
• Deep attention to detail, quality and patience
• Thorough knowledge of tennis, pickleball, padel terminology (e.g. serviceline, baseline, doubles alley, deuce court, ad court, kitchen/NVZ, forehand, backhand, topspin, slice, etc.)
• Comfortability using macOS
• Passion for playing video games with a keyboard & mouse
• Avid user of the SwingVision app
• Passion for Racket Sports or Artificial Intelligence

SwingVision is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.