About Handshake AI
Handshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.
Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.
This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.
Now’s a great time to join Handshake. Here’s why:
Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.
Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.
World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.
Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.
About the Role
As an AI Tutor, Electrical Engineering Specialist, you’ll help refine the accuracy and technical precision of AI models by reviewing and correcting outputs in electrical circuits, signal processing, embedded systems, power systems, and electromagnetics. Your expertise will ensure AI systems can better interpret and respond to complex engineering queries.
This is a remote contract position with variable time commitments. The services provided are supplementary and distinct from Handshake’s core business operations.
Day-to-day responsibilities include
Analyzing and improving AI-generated content in electrical and electronic engineering domains
Evaluating model responses for accuracy in areas such as analog/digital circuits, control systems, communications, and microelectronics
Annotating and curating training data for electrical engineering-related LLM outputs
Collaborating with technical teams to identify gaps, inaccuracies, or misleading content
Applying engineering judgment to ensure high-quality, consistent model outputs
Desired Capabilities
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 electrical engineering principles, system design, and signal analysis
Ability to assess complex technical material and provide constructive feedback
Strong written communication skills, especially when explaining technical concepts clearly
Independent, detail-oriented, and confident in making decisions
Extra Credit
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
Additional Information
Engagement: Contract, remote, variable time commitment
Schedule: Flexibility required, with some evening and weekend availability
Location: Fully remote (no visa sponsorship available; not hiring in Wyoming or Illinois)
Technical Requirements: Personal device supporting Windows 10 or macOS Big Sur 11.0+ and reliable access to a smartphone
