Compliance Specialist - AI trainer

Join our client's team as a Compliance Specialist and play a crucial role in shaping ethical and regulatory standards for advanced AI applications. This opportunity allows you to leverage your expertise in regulatory frameworks, audits, and policy adherence to ensure AI models operate within legal and ethical boundaries. Your insights will directly impact the development of responsible, trustworthy AI systems.

Key Responsibilities:

- Educate AI systems by providing detailed guidance on compliance protocols, regulatory requirements, and industry best practices.

- Simulate real-world compliance evaluation scenarios and risk assessments to enhance AI learning and responsiveness.

- Collaborate with technical teams to integrate compliance insights into model development and decision-making processes.

- Continuously update and refine compliance documentation to reflect evolving regulatory landscapes.

- Monitor and assess AI model outputs for alignment with legal, ethical, and organizational standards.

- Participate in internal audits and contribute to the creation of robust compliance monitoring tools and processes.

- Serve as a subject matter expert, addressing compliance-related queries and creating training materials.]

Qualifications:

- Demonstrated experience in compliance, regulatory affairs, or a related field, with a strong understanding of global regulatory frameworks.

- Exceptional written and verbal communication skills, with the ability to convey complex regulatory concepts clearly and effectively.

- Proven ability to conduct audits, risk assessments, and policy evaluations.

- Strong analytical skills with meticulous attention to detail and accuracy.

- Experience working cross-functionally in diverse or distributed teams.

- Ability to adapt to rapidly changing regulatory environments.

- High ethical standards and a commitment to fostering responsible AI practices.

Preferred Qualifications:

- Prior experience educating or advising on compliance in technology, fintech, or AI-driven environments.

- Certifications in compliance, risk management, or related disciplines (e.g., CRCM, CCEP, CAMS).

- Familiarity with AI, machine learning, or data science regulatory considerations.

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.