Audio Tutor

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Mercor is partnering with a leading AI research group to engage audio professionals in a high-impact project focused on advancing AI systems with sophisticated auditory and voice interaction capabilities. As an AI Tutor – Audio Specialist , you will play a key role in refining large-scale AI models by training them to understand, interpret, and produce high-quality sound and voice outputs. This role requires exceptional vocal quality, an acute ear for detail, and hands-on experience in audio production, editing, or sound design. You’ll collaborate with technical teams to develop, evaluate, and annotate audio datasets that enhance the model’s performance in voice modulation, sound processing, and auditory reasoning. This is a full-time role ideal for individuals passionate about merging creativity, technology, and sound engineering to shape the next generation of AI-powered auditory systems. Key Responsibilities Use proprietary software to label, annotate, and evaluate audio clips, voice recordings, and other sound-based data. Deliver curated, high-quality datasets that ensure clarity, professionalism, and accurate sonic representation. Collaborate with AI researchers and engineers to train models on advanced voice and sound processing capabilities. Develop tasks and test sets that improve AI performance in voice modulation, noise reduction, and immersive sound design. Support the enhancement of annotation tools and workflows to improve project efficiency and consistency. Qualifications Demonstrated expertise in Audio Engineering, Music Production, Communications, or a related field. Strong, professional vocal presence suitable for voice recordings and demonstrations. Proven experience in audio post-production, sound design, podcasting, or music arrangement, with a deep understanding of acoustics, mixing, and signal processing. Proficiency with audio enhancement tools, including waveform analysis, equalization, and format optimization. Strong understanding of industry standards, best practices, and equipment used in professional sound editing. Excellent communication, technical, and detail-oriented skills. Commitment to supporting the development of AI with sophisticated, human-level audio capabilities. Preferred Qualifications Portfolio of professional audio work — such as edited tracks, hosted podcasts, or produced compositions — available online or on professional platforms. Experience in broadcasting, studio recording, sound design, or roles involving audio critique and optimization. More About the Opportunity Location: Palo Alto, CA (in-office, 5 days/week) or fully remote. Schedule: 9:00am–5:30pm PST for the first two weeks; then 9:00am–5:30pm in your local timezone. Requirements: Chromebook, Mac (macOS 11+), or Windows 10+ device; reliable smartphone access required. U.S. applicants: Must reside outside Wyoming and Illinois. Visa sponsorship: Not available. Compensation & Contract Terms $45–100/hour , depending on experience, expertise, and location. International pay rates available upon request. Payments issued regularly for services rendered. Hourly pay is part of a broader rewards structure; benefits vary by country. Application Process Submit your resume or portfolio to get started. Complete a 15-minute screening interview . If selected, proceed to: A technical deep-dive discussing your audio experience and annotation work. A take-home audio challenge focused on sound quality or editing precision. A team meet-and-greet with project collaborators. The interview process is designed to be completed within one week .