AvasarAI

English Transcriber | AI Voice Data Project

Apna · 1 day ago

Verified today🌱 FreshData and Analyticsfull-timejuniorIndia-eligible
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Onboarding

About Arctic Engine:

Arctic Engines is an enterprise-grade Al human data operations company specializing in high-quality training data, RLHF, and human feedback pipelines for frontier Al models. We are part of the Apna Group, one of India's fastest-growing unicorns, backed by marquee investors such as Lightspeed, Tiger Global, Insight Partners, Peak XV, and others. With native access to Apna's 60M+ workforce, we deliver high-quality training data at unmatched scale and speed.

Job Summary:

We are looking for skilled English Transcribers to support a large-scale conversational voice data project for training AI speech models. You will transcribe natural, unscripted English conversations covering topics such as Finance, Travel, Healthcare, Retail, Telecom, and more.

Selection Process

  • Application Screening
  • 2–3 minute English transcription skill test
  • Evaluation & Shortlisting
  • NDA + Onboarding
  • Production Assignment

Compensation

Payment is based on approved transcription output, with rates shared during onboarding. High-performing contributors may be considered for ongoing projects and QA/Reviewer opportunities.

Requirements

Key Responsibilities

  • Accurately transcribe conversational audio verbatim in English script.
  • Preserve fillers, repetitions, stutters, false starts, and natural speech patterns.
  • Handle Odia-English/Hindi code-switching, regional accents, and colloquial speech.
  • Identify and
  • Follow project-specific transcription and formatting guidelines.
  • Maintain 97%+ transcription accuracy and meet assigned TATs.
  • Review and correct work based on QA/reviewer feedback.

Requirements

  • Native or near-native proficiency in English, with excellent reading and writing skills.
  • 1–3+ years of experience in transcription, subtitling, captioning, speech annotation, or similar work preferred.
  • Strong English typing skills; 40+ WPM preferred.
  • Excellent listening skills and attention to detail.
  • Comfortable working with natural, unscripted, multi-speaker conversations.
  • Experience handling multilingual/code-switched audio is an advantage.
  • Laptop/desktop, reliable internet, and good-quality headphones are required.

Preferred Skills

English Fluency | Verbatim Transcription | English Typing | Listening Skills | Attention to Detail | Audio Annotation | Code-Switching | Quality Focus | TAT Management

Confidentiality: An NDA must be signed before accessing project audio and transcription materials.

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