Remote Hindi - AI Voice Data Collection Project

The interview process for this role is straightforward, focusing mainly on the voice audition and a brief screening call. Candidates are evaluated on Hindi fluency, clarity, and natural speaking style rather than technical expertise. Tips include recording in a quiet room, speaking clearly, and showcasing confidence during the audition.

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Open to all candidates with a minimum of a high school qualification; no specific degree, branch, or percentage requirement. Must be a native or near‑native Hindi speaker, possess a quiet home environment, stable internet, and a good‑quality microphone or headset. No backlogs or academic restrictions apply.

Round 1: Submit a 2‑minute voice audition → Round 2: Screening of audition for fluency, pronunciation, and voice quality → Round 3: NDA signing and final recording session (remote)

Arctic Engines is an enterprise‑grade AI human data operations company that specializes in creating high‑quality training data, reinforcement learning from human feedback (RLHF), and human‑in‑the‑loop pipelines for cutting‑edge AI models. The firm operates under the umbrella of the Apna Group, one of India’s fastest‑growing unicorns, backed by marquee investors such as Lightspeed, Tiger Global, Insight Partners, and Peak XV. With direct access to Apna’s massive workforce of over 60 million users, Arctic Engines can deliver massive volumes of clean, annotated data at speed, helping AI developers accelerate model development and improve performance. The role is a short‑term, remote voice‑data collection project aimed at building next‑generation conversational AI. Candidates will engage in natural, unscripted dialogues with an AI‑powered conversational bot across a variety of everyday and professional domains – travel, finance, retail, healthcare, telecom, education, and more. The objective is to capture authentic Hindi speech that reflects real‑world conversational patterns, tone, and nuance, which will be used to train speech‑to‑text, voice assistants, and dialogue systems. Key responsibilities include: 1. Record a 2‑minute audition sample in a quiet environment to demonstrate fluency and voice quality. 2. Upon selection, complete a total of 2 hours of conversational recording from home, split into multiple 10‑minute sessions. 3. Interact naturally with an AI bot, speaking for roughly 70 % of the conversation while the bot prompts topics. 4. Provide detailed, spontaneous, and context‑relevant responses without reading from a script. 5. Follow strict guidelines on pronunciation, clarity, and conversational flow. 6. Re‑record any segment that fails quality or technical checks. 7. Ensure a stable internet connection and use a good‑quality microphone or headset. 8. Sign a non‑disclosure agreement (NDA) before the final recording session. 9. Submit recordings within the stipulated timeline. 10. Maintain a quiet, controlled recording environment throughout the project. The tech stack is minimal – candidates need a computer or smartphone, a reliable internet connection, and a decent microphone. Recordings are captured via a web‑based interface that streams the AI bot and stores audio files securely. While the project is temporary, high‑performing contributors may be invited to future data‑collection initiatives, potentially progressing to senior annotator or quality‑control roles within Arctic Engines. Why join? This project offers a unique chance to contribute directly to the development of AI that will power voice assistants used by millions. Participants gain exposure to cutting‑edge AI workflows, earn competitive hourly compensation, and enjoy the flexibility of working from home. It is an ideal opportunity for freshers and students looking to build a portfolio in AI data operations while honing their communication skills.