Customer Service Representative - AI trainer
Pakistan
RYZ Labs – RLHF - AI /
Full Time - Contract /
Remote
Join our customer's team as a Customer Service Representative and be instrumental in shaping how AI systems engage with real customers. You will use your expertise to not only directly assist customers but also to train AI in managing service inquiries, modeling a professional tone, and resolving issues efficiently. Your contributions will be key in ensuring outstanding customer satisfaction across various industries.
Key Responsibilities:
- Respond thoughtfully to customer inquiries and complaints across multiple channels, including chat, email, and phone.
- Demonstrate and model effective de-escalation techniques and conflict resolution strategies for both customers and AI learning modules.
- Collaborate with cross-functional teams to capture, analyze, and improve customer service interactions.
- Provide actionable feedback to enhance AI’s ability to handle complex service scenarios and deliver human-like responses.
- Maintain accurate, detailed records of all customer interactions and resolutions.
- Support the continuous training and refinement of AI tools by providing real-world examples of superior customer service.
- Champion a customer-first mindset, ensuring every interaction prioritizes satisfaction and positive outcomes.
Qualifications:
- Exceptional written and verbal communication skills, with an empathetic and personable approach.
- Proven experience in a customer service or support role, preferably in a fast-paced environment.
- Strong problem-solving skills and the ability to stay composed under pressure.
- Demonstrated ability to de-escalate challenging situations and turn dissatisfied customers into loyal advocates.
- Comfort working independently in a remote environment while contributing to a larger team effort.
- Tech-savvy, with the ability to quickly learn and navigate new AI-driven systems and platforms.
- Meticulous attention to detail and commitment to maintaining high standards of professionalism.
Preferred Qualifications:
- Experience training, mentoring, or guiding others in customer service best practices.
- Background in supporting or training AI or machine learning applications.
- Multilingual abilities or experience serving diverse customer bases.
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.