AI Trainer (Contractor), Voice and Speech Evaluation - USA

Inworld•Mountain View, CA
•$20 - $55•Remote

About The Position

Inworld is seeking a contract AI Trainer to evaluate voice and speech quality. The role involves listening to speech samples, rating voice attributes and performance, reviewing new voices, and testing pre-release speech features. The position is remote within the United States, with compensation of $20–$55 per hour depending on region and language specialty.

Requirements

  • Background in audio production, broadcast, voice acting, music, linguistics, phonetics, or a similar field.
  • Ability to hear and describe subtle differences in prosody, timing, pronunciation, and audio quality.
  • Consistent, careful judgment across large batches of similar samples.
  • Comfort with beta web tools, VPN access, and spreadsheets, and willingness to troubleshoot minor access issues.
  • Strong written English for reporting findings.
  • Ability to turn tasks around within a day when needed, including occasional weekend availability.

Nice To Haves

  • Native or near-native fluency in Hindi, Tamil, Telugu, Bengali, Marathi, Brazilian Portuguese, or a regional Spanish dialect.
  • Experience with TTS, voice AI, dubbing, or localization QA.
  • Familiarity with A/B evaluation or annotation work.

Responsibilities

  • Listen to paired or grouped speech samples and judge which sounds more natural, expressive, or faithful to instructions.
  • Score voices against rubrics for naturalness, clarity, emotion, pacing, and delivery style.
  • Label voice attributes such as perceived gender, age, accent or dialect, and tone, and flag mismatches with existing metadata.
  • Judge how closely cloned voices match their source speaker.
  • Review batches of new voices for audio quality and suitability before public release.
  • Test new speech features in pre-release environments and report bugs, edge cases, and usability issues.
  • Write clear, structured findings that engineers can act on.
  • For multilingual roles, evaluate pronunciation, dialect accuracy, and naturalness in the relevant native language.
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