English Transcriber | AI Voice Data Project

Apna · India · Remote

Posted 8/14/2026 · last confirmed live 8/26/2026

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 tag unintelligible speech, overlapping speech, background noise, and other audio issues. 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.

This role is published by Apna on workable. SwiftFit is not the employer and does not accept applications.