Mechanical Engineering Specialist - AI Trainer

We are seeking a Mechanical Engineering Specialist - AI Trainer to join one of our clients. You'll play a crucial role in advancing the capabilities of AI models by evaluating and refining responses in the field of mechanical engineering. Your expertise in areas such as thermodynamics, statics, dynamics, mechanics of materials, and fluid systems will be essential to ensuring the technical accuracy and quality of AI outputs. This role requires domain knowledge, attention to detail, and a passion for improving data quality in AI systems.

Responsibilities:

- Evaluate and critique AI-generated responses in mechanical engineering, ensuring clarity, correctness, and relevance.

- Provide expert feedback on topics like materials science, fluid mechanics, mechanical design, and manufacturing processes.

- Help curate and annotate datasets used to fine-tune models with mechanical engineering content.

- Identify edge cases, model errors, and technical inaccuracies in engineering outputs.

- Collaborate with interdisciplinary AI teams to enhance model understanding and response quality.

Qualifications:

- PhD or MS in Mechanical Engineering or a closely related field.

- Alternatively, 3+ years of professional experience as a Mechanical Engineer in academia, industry, or applied R&D settings.

- Solid understanding of mechanical engineering principles, design practices, and simulation tools.

- Strong ability to explain complex concepts clearly in writing.

- Comfortable with ambiguous tasks and capable of exercising independent judgment in technical assessments.

- Excellent attention to detail, especially in technical communication and numerical accuracy.

Nice to have:

- Experience with CAD tools, FEA, CFD, or robotics systems.

- Teaching, tutoring, or curriculum development experience in mechanical engineering.

- Publications or technical writing in engineering disciplines.

- Exposure to generative AI systems or LLMs.

- Experience with RLHF or data annotation for technical domains.

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.