Voice Designer

What matters most

• Compliance-Driven Audio Design

  The role requires balancing verbatim legal disclosures with the need to maintain customer engagement. You must ensure that mandatory compliance language is delivered in a way that is perceived as informative rather than threatening, directly impacting call retention rates.

• Evidence-Based Quality Metrics

  You are expected to move beyond subjective 'sound quality' assessments by developing objective, data-driven evaluation metrics. These metrics must be integrated into the existing automated testing suite to gate releases and ensure consistent performance.

• Technical Pipeline Integration

  You must manage voice configurations directly within the repository using terminal-based workflows and Git. The ability to troubleshoot and provide precise technical feedback on tooling limitations is essential, as there is no GUI for these tasks.

• End-to-End Voice Production

  You are responsible for the full lifecycle of voice assets, including casting, directing voice actors, and performing post-production editing. This requires the ability to salvage audio recordings and ensure they meet the technical constraints of narrowband phone lines.

Likely challenges to think through

• Translating Subjective Client Feedback

  Clients may request abstract qualities like 'warmer' without providing technical specifications. You must be prepared to translate these vague requests into concrete audio design decisions, such as adjustments to pace, stress, or prosody, and defend those choices with evidence.

• Managing Narrowband Audio Constraints

  Designing high-quality audio that remains intelligible and natural over 8 kHz narrowband phone lines is a significant technical hurdle. You should prepare to discuss how you optimize frequency ranges and prosody to prevent degradation in low-fidelity environments.

• Maintaining Professionalism in High-Stress Contexts

  The AI agents operate in debt collection, a high-stress environment where the voice must remain steady and professional even when the caller is angry. You should be ready to explain your approach to designing voice characteristics that maintain authority and composure without sounding like a robotic legal recording.

Topics to prepare

• Narrowband Audio Constraints

  Research the impact of 8 kHz sampling rates on speech intelligibility and frequency response. Exercise: Take a high-quality voice recording and apply a low-pass filter at 4 kHz to simulate narrowband phone lines, then adjust the EQ to maintain clarity and naturalness. This is critical for ensuring your voice designs remain effective in real-world contact center environments.

• Compliance and Tone in Regulated Domains

  Study how to deliver mandatory legal disclosures without sounding robotic or threatening. Exercise: Draft a script for a debt collection disclosure and experiment with different prosody, pacing, and stress patterns to convey authority while maintaining a neutral, professional tone. This directly addresses the requirement to balance compliance with user experience.

• Evidence-Based Quality Metrics

  Develop a framework for evaluating voice quality beyond subjective opinion. Exercise: Define three objective metrics (e.g., speech-to-noise ratio, drift over time, or intelligibility scores) that could be integrated into an automated testing suite. This prepares you to fulfill the role's need for data-driven quality assurance.

Skills to revise

• Terminal and Git Workflow

  Practice managing configuration files via command-line tools. Exercise: Create a local repository, modify a text-based configuration file, commit the changes, and simulate a pull request workflow. This is essential as the role requires managing voice configurations directly in the repository without a GUI.

• SSML and Prosody Control

  Master Speech Synthesis Markup Language (SSML) to manipulate voice output. Exercise: Use SSML tags to control pitch, rate, and volume for a specific sentence, ensuring natural pauses and emphasis. This skill is highly preferred for fine-tuning the AI agents' delivery.

• Audio Post-Production for Speech

  Refine your ability to clean and prepare raw voice recordings. Exercise: Take a recording with background noise or inconsistent levels and use a DAW to normalize, de-noise, and edit the file into a clean, production-ready clip. This is a core daily task for preparing voice assets for the pipeline.

• Prepare a portfolio of audio design work

  Curate a portfolio that demonstrates your expertise in speech recording, editing, and sound design. Include examples where you have manipulated tone, pace, or prosody to achieve specific emotional outcomes, as this is critical for the collections context.

• Develop a framework for voice quality evaluation

  Draft a proposal for objective metrics to evaluate voice performance in automated testing. Focus on how you would measure naturalness, intelligibility over 8 kHz narrowband phone lines, and consistency over long-duration calls.

• Demonstrate technical proficiency with Git and CLI

  Be prepared to discuss your experience managing configuration files via terminal and Git. If you have used SSML or prosody controls in TTS platforms like ElevenLabs, prepare a brief walkthrough of how you implemented those controls to solve a specific audio problem.

• Formulate a strategy for compliance-heavy scripts

  Prepare a case study on how you would approach designing the delivery of mandatory legal disclosures. Explain how you would balance the need for verbatim accuracy with the requirement to keep the listener engaged and compliant without sounding like a robotic recording.

• Prepare questions regarding the Rifa AI pipeline

  Develop thoughtful questions about the current limitations of their voice configuration pipeline. Focus on how you would integrate your design process into their existing PR-based workflow and how you would collaborate with engineers to improve the tooling.