Data Labeling Intern

Deel; Berkeley (CA); On-site; USD 21,000 - 34,000; Part time

Job summary

SwingVision is seeking part-time Data Labelers to help bring our ball-tracking AI to racket sports. Based in Berkeley, CA, you will work with our Machine Learning team to label video frames and learn basic computer vision concepts while contributing to a consumer AI product.

You will record videos, label balls and players across tennis, pickleball and padel, update labeling guidelines, and help improve the labeling interface. A strong eye for detail and comfort with macOS are essential.

Qualifications

• Attention to detail and high accuracy in labeling tasks.
• Familiar with macOS and comfortable using a keyboard and mouse.
• Experience labeling images or videos for ML/personal projects is a plus.

Responsibilities

• Record video of tennis, pickleball, padel players on the court.
• Accurately label images of balls and players (tennis/pickleball/padel).
• Update data labeling guidelines with edge cases and difficult scenarios.
• Provide feedback to improve the labeling interface design.
• Maintain labeling accuracy above 95%.
• Demonstrate deep attention to detail and patience.

Skills

Attention to detail

MacOS proficient

Keyboard & mouse

Video labeling

Racket sports knowledge

Basic computer vision

Team collaboration

Tools

macOS

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:

• 2023 Apple Design Award, Editors' Choice on the App Store, and 4x App of the Day

• Trusted by 500k+ 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, 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.