NBA Game Video Labeler — Watch Games and Log Events

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We hire and contract people to help teach AI by creating and reviewing the examples modern models learn from.

This project is run by OpenTrain AI. You will be contracted directly by OpenTrain to label basketball video events using our internal tooling.

Why This Work Matters

AI training (also called data labeling or annotation) is the human side of building intelligent systems. Your labeled game events will help models learn to recognize player actions and understand live sports footage.

This kind of work is flexible, remote, and accessible — great part-time work that puts you at the center of how AI systems learn to interpret video.

The Role — NBA Game Video Labeler

You will watch NBA games (live or within a couple hours after they air) and record specific in-game events and the game-clock/quarter information. OpenTrain provides a paid streaming subscription so you can watch required games.

Each event you log will include who was involved, the event type (for example: free throw, 3-pointer, rebound, turnover), the quarter number, and the time remaining on the game clock. You will enter events using a provided template and our internal proprietary labeling tooling.

• Data type: Video (game footage)
• Labeling task: Action recognition — log player, event type, quarter, and clock time
• Tooling: Internal proprietary labeling tool provided by OpenTrain
• Work type: Contractor, part-time; under 20 hours per week
• Location: Open worldwide

What You'll Do Day-to-Day

Follow the clear instructions and examples we provide, watch assigned NBA games, and enter each qualifying event into the template. Focus on accuracy: correct player, correct event label, correct quarter, and precise clock time.

You may work live during games or label them shortly after they air, as long as events are recorded within the required window.

• Watch full NBA games live or within a few hours after broadcast
• Identify and log events (free throws, field goals, rebounds, turnovers, etc.)
• Record the quarter and exact clock time for each event
• Use the supplied template to submit entries via OpenTrain's internal tool

Requirements

This is an entry-level role, but you must be familiar with the rules of basketball and common event types so you can label plays correctly.

You should have a device (computer, tablet, or phone) and a reliable internet connection capable of streaming games.

• Familiarity with basketball rules and in-game events (required)
• Ability to watch full games live or shortly after they air (required)
• Comfort using web-based tools and entering structured data (recommended)

Compensation & Schedule

You will be paid on a per-label basis at $0.20 per recorded event. OpenTrain supplies a paid streaming subscription (League Pass, YouTube TV, or similar) so you can view the games required for your assignments.

Expect flexible, part-time work that you can schedule around other commitments. Total weekly hours are under 20 and determined by how many games and events you label.

• Rate: $0.20 per recorded event (per-label pay)
• Streaming subscription provided to watch required NBA games
• Part-time, flexible schedule — work the hours you choose within project windows

How It Works & How To Apply

You will receive a simple entry template, detailed instructions, and example annotations. Use our internal proprietary tool to submit labels and follow quality guidelines provided in the onboarding materials.

Creating an OpenTrain account is free. Apply through your OpenTrain profile and follow the onboarding steps to begin; you will be contracted by OpenTrain AI and given access to project instructions and the streaming subscription.

• Onboarding includes instructions, examples, and the labeling template
• Work is contracted through OpenTrain AI; apply from your OpenTrain account
• Open worldwide — applicants can work from any country