SwingVision is the AI tennis & pickleball 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:
• 2023 Apple Design Award, Editors' Choice on the App Store, and 4x App of the Day
• Trusted by 50k+ players, coaches, and federations all across the globe
• Investors include Andy Roddick, Lindsay Davenport, and James Blake
💼 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, become knowledgeable in basic computer vision concepts, and learn how a consumer artificial intelligence product is made.
ResponsibilitiesRecord video of pickleball & tennis players on the courtAccurately label images of pickleball/tennis balls and playersUpdate data labeling guidelines with edge cases and other difficult scenariosProvide feedback & suggestions to help improve the design of our labeling interfaceMaintain a labeling accuracy of greater than 95%RequirementsAgility in using a keyboard & mouseDeep attention to detail, quality and patienceThorough knowledge of tennis or pickleball terminology (e.g. serviceline, baseline, doubles alley, deuce court, ad court, kitchen/NVZ, forehand, backhand, topspin, slice, etc.)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.
