Uzbek Bilingual Video Transcription Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help freelancers consolidate opportunities, build a single verifiable portfolio of AI training work, and grow a long-term freelance career doing language and data tasks.

OpenTrain AI is hiring this role directly. You will join a global community contributing to how modern AI systems learn from human examples.

About AI training and why this work matters

AI training (also called data labeling or human feedback work) is the human side of building intelligent systems: people prepare, transcribe, and evaluate examples that models learn from. This is remote, flexible work that is accessible to linguists, translators, and careful communicators.

Contributors shape how state-of-the-art AI systems understand languages and cultural nuance—your work improves transcription quality, model outputs, and user experience for Uzbek-language content.

The role

As an Uzbek Bilingual Video Transcription Expert you will produce high-quality Uzbek transcriptions from video, add precise timestamps, and perform detailed linguistic review. You will describe speaker emotion, tone, intent, and provide feedback on grammar, syntax, and idiomatic meaning.

This is a part-time contractor role with a minimum weekly commitment of 15 hours; overall time commitment is under 20 hours per week. Work is 100% remote and open worldwide.

What you'll do

Day-to-day tasks focus on accurate transcription and contextual linguistic annotation to help improve language models and datasets.

  • Transcribe Uzbek-language video content with high accuracy.
  • Add precise timestamps for dialogue turns and scene changes.
  • Annotate speaker emotion, intent, tone, and mood shifts.
  • Review and note grammar, syntax, and nuanced word meanings in context.
  • Provide clear linguistic feedback and suggestions to improve clarity and fidelity.
  • Classify segments where relevant (e.g., speaker role, speech/non-speech, language switches).

Requirements

Candidates must meet the core language and task experience requirements below. We do not require a specific degree, but you must be able to demonstrate language proficiency and relevant experience.

  • Native or near-native proficiency in Uzbek and English (required).
  • Experience transcribing video or spoken language content.
  • Ability to analyze speaker emotion, tone, and intent from audio/video.
  • Strong written and verbal communication skills in Uzbek and English.
  • Solid understanding of Uzbek and English grammar, syntax, idioms, and cultural context.
  • Comfort working with digital content and collaborative online platforms.
  • Minimum availability of 15 hours per week; overall role is under 20 hours/week.

Helpful background

These qualifications are a plus and can help you stand out, but they are not strictly required.

  • Degree or coursework in Linguistics, Philology, Translation Studies, or related fields.
  • Experience with linguistic annotation, corpus analysis, or transcription tools.
  • Background in educational, research, or media translation projects.

How work, pay, and contracting work

This is a part-time contractor role with pay on an hourly basis. OpenTrain AI manages contracting and project assignments.

Pay range: $45–$95 USD per hour (PAY_PER_HOUR). Exact rate is set per assignment based on experience and task complexity.

  • Employment type: Contractor, Part-time.
  • Data type: Video (transcription and classification tasks).
  • Labeling focus: TRANSCRIPTION and CLASSIFICATION with timestamps and linguistic notes.
  • Worldwide applicants accepted; you must meet the language and availability requirements.

How to apply

To apply, create or sign in to your OpenTrain profile and submit your application for this role. Include a brief summary of your Uzbek/English experience and any relevant transcription or linguistic samples if available.

A strong OpenTrain profile helps you show credible experience and match to similar roles over time.

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