Baseball Expert (US)

About The Role

We’re seeking a Baseball Annotation & Analysis Expert to help refine AI understanding of real-world baseball footage. You’ll work with advanced video models to ensure that the AI correctly recognizes player movements, plays, and outcomes in professional and amateur baseball games. This is a hands-on, detail-oriented role ideal for someone with deep knowledge of baseball gameplay—whether from playing, coaching, officiating, or analytical work.

Responsibilities

• Review and refine AI-generated baseball video annotations including play calls, fielding actions, and pitch outcomes.
• Label and validate events such as pitches, hits, fielding plays, base running, and scoring sequences.
• Verify timing accuracy between video clips and described actions (e.g., pitch release, contact, tag, throw).
• Ensure contextual precision, identifying subtle differences (e.g., sacrifice fly vs. routine flyout).
• Provide structured, objective feedback to improve AI understanding of baseball-specific terminology and sequences.
• Collaborate asynchronously with researchers and engineers to enhance model training data quality.
  
  
  

Qualifications

Must-Have

• Deep familiarity with baseball—through playing, coaching, umpiring, scouting, or analytical experience.
• Solid understanding of rules, player positioning, and play terminology (e.g., double plays, balks, bunts, stolen bases).
• High attention to detail and ability to describe baseball sequences precisely and consistently.
• Comfortable working independently on remote data annotation platforms.
  
  
  

Preferred

• Prior experience with AI training, data labeling, or video annotation tools.
• Recognition or certification in baseball (e.g., collegiate athlete, MLB-affiliated, USA Baseball certification).
• Experience with sports analytics, video review systems, or scouting software (e.g., TrackMan, Synergy, or Statcast).