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Mercor logo
Mercor

Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

Senior Engineering Consultant

ConsultantConsultantOtherRemoteSeniorH1B No Sponsor

Location

United States

Posted

94 days ago

Salary

$73 / hour

Seniority

Senior

No structured requirement data.

Job Description

Senior Engineering Consultant

Mercor

Role Description - 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 Requirements - Upload resume - AI interview based on your resume - Submit form Benefits - Compensation: $73/hour - Location: Remote Company Description 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.

Job Requirements

  • 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
  • Upload resume
  • AI interview based on your resume
  • Submit form

Benefits

  • Compensation: $73/hour
  • Location: Remote

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