Company Description:

Curvia AI is a London, UK-based technology and AI solutions company that transforms complexity into opportunity through enterprise solutions, AI-powered automation, and data-driven insights. We build practical, scalable, and human-centered technology grounded in integrity, security, and responsible innovation.

Role Overview:

We are seeking detail-oriented listeners with hands-on experience in audio captioning, transcription, audio production, or voice and linguistic analysis. This role supports the development and benchmarking of audio-capable Large Language Models (LLMs) by producing exact, evidence-based descriptions of speech, non-speech sounds, and mixed audio scenes. You will help ensure AI-generated captions reflect what is actually audible, not what a video, topic, or draft wording implies.

Offer Details:

- Commitments Required: Full-time or Part time. 40h or 20h per week with 4 hours PST overlap
- Employment type : Contractor assignment (no medical/paid leave)
- Duration of contract : 6 weeks
- Years of Experience: 3+ years of professional experience.
- Pay: US$12 per task AHT: 89 minutes
- Total number of positions: 250

Required skills and qualifications:

- Experience in audio captioning (ideal), transcription, or audio annotation.
- Background in linguistics, voice analysis/coaching, or audio production is preferred.
- Native-level written English with the vocabulary to describe voices and sounds precisely and concisely.
- Ability to distinguish English accents and recognize other languages.
- Strong listening acuity: able to hear quiet, brief, overlapping,



and changing details and separate individual sources.
- Describes sound in everyday words: what it sounds like, how loud it is relative to other sounds, and when it starts, stops, or changes.
- Sustained focus and consistency across long batches.

Task Overview:

- Listen critically to audio clips and write clear, concise, natural English descriptions of voices, sounds, and scene changes, without adding unsupported assumptions.
- Transcribe English speech faithfully, including repetitions, fillers, and names, and flag lines spoken in another language.
- Track who speaks when, attributing each line to the correct speaker through overlaps, interruptions, and group speech, and recognize when a new voice enters.
- Describe how each voice sounds and how its delivery changes (pitch, voice quality, loudness, pace, emotion, intonation), judging delivery from the sound rather than the meaning of the words.
- Identify, count, and time non-speech vocal sounds (laughs, coughs, sneezes, sobs, gasps, breaths) and other sounds by texture, attack, distance, and relative level, distinguishing discrete events from continuing ambience.
- Judge which sounds stand out or mask others, and whether a voice or sound belongs to the recorded scene or was added over it (narration, playback, an added music bed).
- Place onsets, offsets, speaker changes, overlaps, and gradual transitions accurately.
- Review machine-generated drafts critically, catching invented, missing, mistimed, or misattributed content.
- Apply consistent judgment throughout each clip and across each batch.

📌 Annotator - General Audio | Remote (India)
🏢 Curvia AI
📍 India