English (US) Language Reviewer - AI trainer

$30 - $60/hourpay

Required Skills

Job Description

Job Title: English Language Reviewer - AI trainer


Job Type: Part-time


Location: Remote


Job Summary:

Join our customer’s team as an English Language Reviewer - AI Trainer, playing a pivotal role in enhancing the quality and accuracy of AI language models. In this part-time, fully remote position, you will leverage your linguistic expertise to assess and refine AI-generated outputs, with a strong focus on English language excellence and native speaker identification.


Key Responsibilities:

  • Review and evaluate AI-generated English content for accuracy, naturalness, and appropriateness.
  • Identify and differentiate between native and non-native English speech and writing samples.
  • Offer detailed feedback to improve the AI’s understanding of English language nuances, grammar, and idiomatic usage.
  • Collaborate with technical teams to refine AI voice models with specific attention to accent detection and clarity.
  • Analyze and annotate voice data, ensuring high standards in pronunciation, fluency, and linguistic authenticity.
  • Contribute to the development of assessment frameworks for distinguishing native English speakers.
  • Maintain meticulous records of evaluations and participate in quality assurance initiatives.


Required Skills and Qualifications:

  • Native English speaker with exceptional written and verbal communication skills.
  • Demonstrated ability to distinguish between various English accents and dialects.
  • Formal studies in English, Linguistics, or a closely related field.
  • Strong attention to detail and passion for language quality.
  • Previous experience in content reviewing, editing, or language assessment.
  • Proficiency in providing constructive, actionable feedback.
  • Able to work independently while maintaining high productivity and quality standards.


Preferred Qualifications:

  • Experience in AI training, speech data annotation, or related machine learning environments.
  • Background in voice-related projects or technologies.
  • Advanced degree or certification in Linguistics or English studies.

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Please note that after completing the interview process, you’ll be added to our talent pool and considered for this and other roles that match your skills.

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