Analog Engineer - AI Trainer

📋 Description

• • Join Handshake Technologies, Inc. as an Analog Engineer - AI Trainer, a unique opportunity to leverage your deep expertise in analog circuit simulation and SPICE modeling to shape the future of artificial intelligence in electronics design.
• • This is a flexible, hourly contract role, ideal for experienced Ngspice users seeking project-based work that can be undertaken alongside other professional commitments.
• • Your primary responsibility will be to contribute to cutting-edge AI research by evaluating AI-generated content related to analog circuit design, simulation, and electronics workflows.
• • You will play a crucial role in refining AI models by providing critical feedback, helping them to better understand and execute complex circuit design tasks.
• • This position is perfect for individuals who have practical, hands-on experience with Ngspice, a widely used open-source circuit simulator, or similar tools like Qucs-S.
• • You will be instrumental in developing and refining the AI's understanding of real-world engineering challenges and best practices.
• • The role involves creating insightful questions for the AI and meticulously reviewing its responses for accuracy, relevance, and adherence to industry standards.
• • You will be expected to annotate and label circuit schematics and simulation outputs, ensuring the AI learns from correctly structured and interpreted data.
• • A key aspect of the role is reviewing simulation results to assess their accuracy, performance metrics, and overall design consistency, providing valuable data for AI training.
• • While no prior AI or specific technical training experience is required, a strong foundation in analog circuit simulation concepts, SPICE models, and general electronics workflows is essential.
• • You will be working remotely, offering the flexibility to contribute from anywhere with a reliable internet connection and a desktop or laptop computer.
• • The schedule is asynchronous and flexible, with no minimum hour requirement, allowing you to manage your workload effectively, typically contributing between 5–20 hours per week on active projects.
• • This is an ongoing, year-round program with projects periodically opening across various areas of analog and mixed-signal design, offering continuous engagement opportunities.
• • Your contributions will directly impact the development of AI tools that can assist engineers in tasks such as analog IC design, power electronics engineering, RF engineering, audio electronics design, and PCB design.
• • You will be part of a forward-thinking initiative that bridges the gap between traditional engineering practices and advanced AI technologies.
• • The work involves a deep dive into the nuances of circuit simulation, ensuring that the AI's learning process is grounded in practical, real-world application.
• • You will help the AI understand the critical parameters and trade-offs involved in analog circuit design, such as noise, linearity, power consumption, and stability.
• • By providing feedback on AI-generated design suggestions or analysis, you will guide the AI towards more efficient and effective solutions.
• • This role offers a unique chance to stay at the forefront of technological advancements, applying your specialized knowledge in a novel and impactful way.
• • You will be expected to maintain a high level of attention to detail in all your reviews and feedback, ensuring the quality and integrity of the AI training data.
• • The ability to work independently, follow detailed written guidelines, and communicate your findings clearly will be paramount to your success in this role.
• • This is an independent contractor position, offering a non-traditional employment structure that prioritizes flexibility and autonomy.
• • You will be contributing to the development of AI that can potentially automate or assist in tedious simulation setup, result interpretation, and design validation tasks, freeing up human engineers for more complex problem-solving.
• • Your insights into common pitfalls and challenges in analog circuit design will be invaluable in training the AI to avoid similar errors.
• • The project scope may involve evaluating AI's ability to predict circuit behavior under various conditions, optimize component selection, or even suggest design improvements.
• • This role is an excellent opportunity for seasoned analog engineers to share their wealth of knowledge and contribute to the evolution of engineering tools, all on a flexible, remote basis.