Quality Lead

Summary

Join our AI startup as a Quality Lead and oversee quality assurance processes for dry dialogue recordings used in training large language models. You will develop and implement quality control protocols, train the QC team, and ensure recordings meet client specifications. This role requires expertise in dialogue production and post-production, strong leadership skills, and excellent communication. The position offers flexible work arrangements (remote/hybrid/on-site) and a competitive hourly rate. We are open to candidates in San Francisco/New York (hybrid) or Los Angeles (remote). This is initially a 3-month contract.

Requirements

• Bachelor’s degree in Audio Engineering, Music Production, Sound Design, or related field (or equivalent work experience)
• 5+ years of professional experience in audio production/post-production, with a focus on dialogue recording and mixing
• Demonstrated track record of quality assurance or leading a QC team in an audio-focused environment
• Proficiency in DAWs (e.g., Pro Tools, Logic Pro, Reaper) and audio editing software
• Experience in final mix stage for dialogue: balancing levels, removing noise, ensuring clarity
• Familiarity with various audio formats, codecs, bit rates, and sample rates
• Strong leadership and team management capabilities
• Excellent communication and presentation skills, with the ability to convey complex audio concepts to non-technical stakeholders
• Detail-oriented mindset, capable of identifying subtle audio artifacts and inconsistencies
• Ability to handle multiple projects in a fast-paced, deadline-driven environment
• Native English language fluency (spoken and written)

Responsibilities

• Develop, document, and implement quality control protocols for evaluating dry dialogue recordings
• Train and mentor the QC team on best practices for assessing audio quality, including clarity, consistency, and adherence to specified technical requirements
• Define and track key performance indicators (KPIs) to measure and improve QA processes
• Utilize expertise in dialogue editing and final mixing to troubleshoot issues related to noise levels, frequency balance, clipping, and other audio artifacts
• Work with production teams to standardize file formats, bit depth, sample rates, and other technical parameters for optimal clarity and consistency
• Evaluate and recommend software, plugins, and hardware solutions to improve production and post-production quality
• Collaborate closely with production managers, audio engineers, and project managers to refine workflows and optimize recording pipelines
• Provide actionable feedback and best practice guidelines to the recording teams
• Continuously update and refine training materials for new and existing QC team members
• Serve as a subject matter expert when interfacing with clients, confidently assessing whether audio files meet their requirements
• Communicate quality metrics, issues, and solutions to internal stakeholders and clients in a clear, concise manner
• Ensure that all QC processes adhere to data privacy and security regulations
• Maintain organized, up-to-date records of quality reports, metrics, and improvement initiatives

Preferred Qualifications

• Experience in AI data training pipelines or familiarity with machine learning concepts as they relate to speech models
• Previous work in a startup or technology environment
• Certifications or formal training in audio engineering or related fields

Benefits

• Opportunity to work with a cutting-edge AI startup shaping the future of speech technology
• Collaborative and fast-paced environment with room for professional growth
• Flexible work arrangements (remote/hybrid/on-site based on role requirements)
• Comprehensive health, dental and vision coverage
• Retirement benefits
• A learning and development stipend
• Generous PTO
• A commuter stipend