Music Specialist - AI Trainer

We are seeking a Music Specialist - AI Trainer to join one of our clients. You'll play a key role in shaping the future of AI-powered creativity by evaluating and refining music-related outputs generated by advanced AI systems. With your deep expertise in composition, music theory, and production, you will ensure the technical, stylistic, and conceptual accuracy of the musical data used to train and enhance machine learning models. This unique opportunity allows you to apply your artistic judgment and analytical rigor at the intersection of music and AI.
Responsibilities:- Evaluate AI-generated musical content for accuracy, creativity, musicality, and adherence to genre/style.- Use internal tools to score, annotate, and critique musical examples across various formats and tasks (e.g., compositions, arrangements, melodic or harmonic completions).- Provide expert feedback on structure, harmony, orchestration, and production quality.- Help curate, refine, or author musical examples across multiple genres and traditions to support training datasets.- Collaborate with AI and engineering teams to refine annotation protocols and evaluation frameworks.- Stay adaptable as task requirements evolve and model capabilities advance.
Qualifications:- PhD in Composition, Experimental Music, Music Theory, Music Technology, or a related discipline.- Exceptional aural and analytical skills, with the ability to dissect and interpret music accurately.- Hands-on production expertise, fluent with DAWs (e.g., Logic, Ableton, Pro Tools), mixing, arranging, and digital synthesis techniques.- Genre versatility, with demonstrated fluency in styles including classical, jazz, pop, EDM, film/game scores, world music, and experimental idioms.- Deep understanding of harmony, form, orchestration, and style, with the ability to critique or create musical material from a structural perspective.- Strong pedagogical instincts, with experience in teaching, tutoring, or mentoring in musical analysis or creative practice.- Interest or experience in AI-assisted music tasks, such as evaluating model outputs, tagging musical features, or generating example-based training data.
Nice to have:- Released works (e.g., albums, EPs) or notable professional credits (e.g., commissions, film/game scoring, major live performances).- Published academic work in music theory, cognition, or technology.- Experience with notation software (e.g., Sibelius, Finale, Dorico) or music engraving.- Familiarity with computational musicology, MIR, or symbolic music representations (e.g., MIDI, MusicXML).
About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.
Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.
At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.
Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.