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Kiembu Bilingual Transcription and Annotation Expert

Use your Kiembu and English language expertise to transcribe, annotate, and evaluate audio for AI training. This flexible remote contractor role offers approximately 20 hours per week for 1–3 months at $45–$95 per hour.

OpenTrain AI

Audio & Speech

100% Remote Hourly · $45–$95/hr

$45–$95/hr

Compensation

Worldwide

Eligibility

Entry

Experience

Aug 2, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain AI helps people find and build careers in AI training and data labeling. Through OpenTrain, you can discover specialized projects, create a professional profile, and apply for opportunities that match your expertise.

For this project, OpenTrain AI is recruiting a Kiembu Bilingual Transcription and Annotation Expert to support language-focused AI training work.

About AI Training Work

AI training is the human side of building artificial intelligence. People prepare and review examples—including audio, transcripts, and model outputs—so AI systems can better understand language and respond accurately.

Your linguistic knowledge and careful feedback will help create structured training data and improve how AI systems interpret Kiembu speech, meaning, tone, and speaker intent.

The Role

As a Kiembu Bilingual Transcription and Annotation Expert, you will work with Kiembu audio and video recordings for transcription and linguistic annotation. You will also review source materials and model outputs against detailed project guidelines.

This is an entry-level AI training opportunity, and prior AI training experience is not required. Strong real-world expertise in Kiembu and English, language analysis, and careful written communication are central to success.

  • Employment type: Part-time contractor
  • Work arrangement: Fully remote, worldwide
  • Schedule: Flexible, approximately 20 hours per week
  • Project duration: Estimated 1–3 months
  • Pay: $45–$95 per hour
  • Estimated project earnings: $7,200–$15,200 based on the listed schedule and duration

What You'll Do

You will perform detailed language tasks that require consistency, analytical judgment, and a strong understanding of Kiembu linguistic and cultural context.

  • Transcribe Kiembu audio and video source materials.
  • Check transcripts for accuracy and correct errors.
  • Review source materials and model outputs according to project guidelines.
  • Annotate language data using consistent project standards.
  • Assess emotion, tone, and speaker intent.
  • Explain judgments clearly so feedback can improve model behavior.
  • Maintain quality and consistency across repeated review tasks.
  • Deliver careful, high-quality work independently in a remote setting.

Requirements

This role is suited to a language professional, academic, or fluent bilingual contributor with in-depth knowledge of Kiembu. Experience with transcription, linguistic annotation, or related language projects is expected.

  • Exceptional bilingual fluency in Kiembu and English.
  • In-depth understanding of Kiembu grammar, syntax, and cultural context.
  • Experience in transcription, linguistic annotation, or related language projects.
  • Strong analytical skills for assessing emotion, tone, and speaker intent.
  • Strong written communication and meticulous attention to detail.
  • Ability to follow detailed instructions and apply rubrics consistently.
  • Ability to work independently on intricate language tasks.
  • Commitment to accurate, consistent, high-quality deliverables.

Why Build Your AI Training Career with OpenTrain?

AI training and data labeling are rapidly growing fields where human expertise directly shapes how modern AI systems understand and generate information. Language specialists are especially important for helping models work effectively across diverse languages and cultural contexts.

OpenTrain gives you a place to showcase your experience, discover projects aligned with your skills, and build a lasting portfolio of AI training work. Creating an OpenTrain account is free, and this project can be completed remotely with a flexible schedule.

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