Electrical Engineering Specialist - AI Trainer

Remote-

Ryz Labs

Unlock the power of LatAm's elite nearshore talent with Ryz Labs. Our top-tier staff augmentation services provide access to the brightest minds in software development, IT, sales, ops, and CS. Elevate your team and achieve unparalleled results...

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We are seeking for an Electrical Engineering Specialist - AI Trainer, you will play a crucial role in refining AI models by reviewing and correcting outputs on topics such as electrical circuits, signal processing, embedded systems, power systems, and electromagnetics. Your expertise will enable AI systems to interpret and respond to complex engineering queries with technical precision.
Responsibilities:- Analyze and improve AI-generated content in electrical and electronic engineering domains.- Evaluate model responses for accuracy in areas such as analog/digital circuits, control systems, communications, and microelectronics.- Annotate and curate training data for electrical engineering-related LLM outputs.- Collaborate with technical teams to identify gaps, inaccuracies, or misleading content.- Apply engineering judgment to ensure high-quality, consistent model outputs.
Qualifications:- PhD or MS in Electrical Engineering or a related field, or 3+ years of professional experience as an Electrical Engineer, Embedded Systems Engineer, or similar.- Deep understanding of core electrical engineering principles, system design, and signal analysis.- Ability to assess complex technical material and provide constructive feedback.- Strong written communication skills, especially in explaining technical concepts clearly.- Independent and detail-oriented, with strong decision-making skills.
Bonus Experience:- Experience with simulation tools (e.g., SPICE), PCB design, or FPGA programming.- Familiarity with control theory, power electronics, or IoT systems.- Prior teaching, tutoring, or curriculum development in electrical engineering.- Exposure to LLMs or AI-based educational tools.- Participation in model evaluation or annotation workflows.
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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Engineering FPGA LLMs PhD Teaching

Perks/benefits: Career development Startup environment

Region: Remote/Anywhere

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