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
Must-Have
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
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.