AI Tutor, Electrical Engineering Specialist (contract)

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