
Job Overview
Location
USA
Job Type
Contract
Category
Software Engineering
Date Posted
March 7, 2026
Full Job Description
đź“‹ Description
- • Join Handshake Technologies, Inc. as an RF Engineer - AI Trainer, a unique opportunity to leverage your deep expertise in RF and microwave engineering to shape the future of artificial intelligence in the field. This is not a conventional employment role but rather a flexible, hourly contract position designed for seasoned professionals who excel in RF circuit simulation, microwave design, or analog circuit analysis. As an AI Trainer, you will play a pivotal role in evaluating AI-generated content, providing critical feedback that will enhance the AI's understanding of complex RF and microwave engineering tasks and simulation workflows. This project-based opportunity is ideal for individuals seeking to contribute their specialized knowledge on a flexible schedule, allowing you to seamlessly integrate this work with your existing professional commitments or personal projects.
- • This role is perfectly suited for individuals with a strong background in RF engineering, microwave engineering, analog design, electronics research, PCB design, or circuit design. Your hands-on experience with Qucs-S or similar simulation tools is paramount. You will be instrumental in refining AI models by assessing their outputs for accuracy, relevance, and adherence to real-world engineering practices. This involves creating insightful questions for the AI and meticulously reviewing its responses, ensuring they align with the intricate demands of RF and microwave circuit design workflows.
- • Your responsibilities will include, but are not limited to:
- • Critically evaluating AI-generated responses related to RF and microwave circuit design, simulation, and analysis.
- • Providing detailed, constructive feedback to improve the AI's comprehension and accuracy.
- • Developing targeted questions to probe the AI's understanding of specific engineering concepts and tools.
- • Annotating and labeling circuit schematics and simulation outputs to guide AI learning.
- • Reviewing simulation results for accuracy, performance metrics, and design consistency.
- • Ensuring the AI's outputs align with industry standards and practical engineering workflows.
- • Collaborating asynchronously with the Handshake team to refine training data and methodologies.
- • Maintaining a high level of attention to detail in all feedback and annotations.
- • Adhering to provided guidelines and protocols for AI training tasks.
- • This role offers a unique chance to contribute to cutting-edge AI development without requiring prior AI or machine learning experience. Your existing engineering acumen is the primary asset. You will be working remotely, providing you with the flexibility to manage your own schedule. The project is ongoing, with opportunities to engage in various tasks as they become available throughout the year. This is an excellent way to monetize your specialized skills and stay engaged with the evolving landscape of engineering technology. The asynchronous nature of the work means you can contribute from anywhere with a reliable internet connection, fitting work around your life, not the other way around. You will be an independent contractor, offering a distinct work arrangement from traditional employment. The duration of projects can vary, but the program itself runs year-round, ensuring continuous potential for engagement. Handshake Technologies, Inc. is committed to fostering an environment where expert engineers can contribute meaningfully to AI advancements, making this a rewarding and intellectually stimulating engagement.
Skills & Technologies
Python
Remote
About Handshake Technologies, Inc.
Handshake Technologies provides a cloud-based career-services platform that connects university students, recent graduates, and employers. The software enables institutions to manage job postings, career fairs, on-campus interviews, and employer relations while giving students tools to discover internships and entry-level roles and giving employers access to early-career talent across a network of partner colleges and universities.


