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OpenTrain AIFor AI Companies

Hebrew Audio AI Evaluation Expert

Evaluate Hebrew speech and model audio outputs for AI training work using detailed rubrics and language expertise. This flexible remote contractor role offers 20+ hours per week at $30–$65 per hour.

OpenTrain AI

Audio & Speech

100% Remote Hourly · $30–$65/hr

$30–$65/hr

Compensation

Worldwide

Eligibility

Entry

Experience

Aug 14, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people discover opportunities, build an AI training profile, and grow their experience in a fast-moving field where human expertise shapes how artificial intelligence works.

About AI Training Work

AI training is the human side of building modern artificial intelligence. Contributors review model outputs, evaluate speech and language, and provide structured feedback so AI systems can become more accurate, natural, and useful.

  • Work remotely with a flexible schedule
  • Apply specialized language and audio judgment to cutting-edge AI systems
  • Help improve how AI understands and produces human speech

The Role

OpenTrain is seeking a Hebrew Audio AI Evaluation Expert for work focused on Hebrew Audio Language Evaluation. You will review Hebrew audio clips and model speech outputs, apply project guidelines, and provide clear written feedback that supports AI training.

Prior AI training experience is not required unless stated elsewhere in this posting. The most important qualifications are strong Hebrew language ability, relevant audio or linguistic expertise, and careful, consistent judgment.

  • Employment type: Part-time contractor
  • Schedule: About 20 hours per week for 1–3 months
  • Work arrangement: Remote and flexible
  • Pay: $30–$65 per hour
  • Estimated project earnings: $4,800–$10,400 based on the stated schedule and duration

What You'll Do

You will assess source materials and model-generated speech against project rubrics. Your evaluations and explanations will help identify differences in pronunciation, intonation, fluency, and linguistic authenticity in Hebrew audio.

  • Evaluate model outputs and apply project rubrics
  • Review source materials and model outputs against detailed guidelines
  • Distinguish pronunciation, intonation, fluency, and linguistic authenticity in Hebrew speech
  • Document evidence-based judgments
  • Explain evaluations clearly so feedback can improve model behavior
  • Maintain consistency and quality across repeated review tasks

Requirements

This role is designed for someone with native-level Hebrew and strong English communication skills who can make nuanced judgments about spoken Hebrew. Relevant professional, academic, or language expertise in Hebrew Audio Language Evaluation is required.

  • Native-level spoken and written Hebrew proficiency
  • At least B2 English communication ability for written feedback and verbal clarification
  • Relevant background in linguistics, phonetics, voice specialization, or audio analysis
  • Strong written communication and careful attention to detail
  • Ability to follow detailed project instructions and apply rubrics consistently
  • Ability to provide clear, detailed, and consistent justifications
  • Comfort working independently on remote contractor tasks

Who Should Apply

This opportunity may suit Hebrew language specialists, linguists, phonetics professionals, voice specialists, and audio analysts who can evaluate speech carefully and communicate their reasoning in English. The role is listed as entry level in AI training, so prior experience working on AI projects is not required.

  • Hebrew language experts with strong spoken and written proficiency
  • Professionals or students with linguistics or phonetics backgrounds
  • Voice and audio specialists familiar with detailed speech evaluation
  • Independent contractors seeking flexible, remote part-time work

Why Work With OpenTrain

OpenTrain gives contributors a place to find AI training work, build a unified AI training portfolio, and use their experience to qualify for more opportunities over time. For language specialists and reviewers, this growing field offers a flexible way to apply specialized judgment while contributing to the development of advanced AI systems.

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