Electrical Engineering Specialist

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Engineering AI Evaluator Type: Contract Compensation: $73/hour Location: Remote Role Responsibilities Write and refine prompts to guide model behavior in engineering scenarios . Evaluate LLM-generated responses for technical accuracy and applied reasoning. Conduct fact-checking and verify technical claims using authoritative sources. Annotate model responses, identifying strengths and areas for improvement. Assess clarity and appropriateness of explanations for different audiences. Ensure model responses align with expected conversational behavior and guidelines. Qualifications Must-Have PhD in Engineering or a closely related field Expertise in Mechanical & Physical Systems Engineering , Electrical, Electronic & Computer Engineering , Chemical, Materials & Process Engineering , or Civil, Environmental & Infrastructure Engineering Significant experience using large language models (LLMs) Excellent writing skills Strong attention to detail Experience reviewing or editing technical or academic writing Preferred Experience with applied research, industry engineering workflows, or systems design Prior experience with RLHF , model evaluation, or data annotation work Experience teaching or explaining engineering concepts to non-expert audiences Familiarity with evaluation rubrics or structured review frameworks Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Ontario
app.general.countries.Canada

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Job ID: 10496828 / Ref: 164a3433abc0e550019fbcd29fa7e1bd

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