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OpenTrain AI, Inc. is seeking an Electrical Engineering AI Evaluation Expert to craft realistic engineering problems and assess AI-generated technical content. This project-based contract spans power systems, semiconductors, chip design, embedded systems, DSP, and RF, with feedback guiding better model reasoning and practical constraint handling.
The role is remote, part-time, and flexible, allowing independent work at your pace. Compensation goes up to $120 per hour for completed tasks.
OpenTrain is the centralized, open platform where AI training and data-labeling freelancers find work, consolidate opportunities across platforms, and build a unified AI training portfolio they control. We make specialized AI training work easier to track, apply for, and grow into a durable freelance career.
OpenTrain is recruiting for an Electrical Engineering AI Evaluation Expert to create realistic engineering problems and scenarios and assess AI-generated technical content. This project-based contract draws on hands-on electrical engineering practice across power systems, semiconductors, chip design, embedded systems, digital signal processing, radio frequency engineering, and related fields. Your feedback will help improve how AI systems reason about real engineering methods, constraints, and decisions.
Experience with MATLAB/Simulink, Python, SPICE, PSCAD, ETAP, PSS E, Cadence, Synopsys, Altium, KiCad, Verilog/SystemVerilog, or comparable EDA and simulation environments is helpful. Experience at an established electrical engineering or hardware employer can also strengthen your background.
This is ongoing, flexible, part-time contract work that can be completed alongside another role. There is no set schedule or minimum hour requirement, and compensation is up to $120 per hour for completed work.
OpenTrain gives freelancers one place to manage AI training opportunities instead of rebuilding proof of work on every platform. A stronger OpenTrain profile helps you show credible experience, discover roles that match your skills, and turn AI training and data-labeling work into a long-term portfolio.