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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.

Life Sciences Advisory Consultant

ConsultantConsultantOtherRemoteMid LevelH1B No Sponsor

Location

United States

Posted

93 days ago

Salary

$73 / hour

Seniority

Mid Level

No structured requirement data.

Job Description

Life Sciences Advisory Consultant

Mercor

Role Description - Write and refine prompts to guide model behavior in the life sciences context. - Evaluate LLM-generated responses to biology-related queries for scientific accuracy and reasoning quality. - Conduct fact-checking using authoritative public sources and domain knowledge. - Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies. - Assess clarity, structure, and appropriateness of explanations for different audiences. - Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines. Qualifications - PhD in Biology or a closely related life sciences field. - Deep expertise in Molecular & Cellular Biology, Organismal Physiology & Development, Microbiology, Immunology & Pathobiology, or Ecology, Evolution & Environmental Biology. - Significant experience using large language models (LLMs). - Excellent writing skills and ability to explain complex life sciences concepts. - Strong attention to detail. - Experience reviewing or editing technical or academic writing. Requirements - Prior experience with RLHF, model evaluation, or data annotation work. - Experience teaching, mentoring, or explaining life sciences concepts to non-expert audiences. - Familiarity with evaluation rubrics, benchmarks, or structured review frameworks. Benefits - Compensation: $73/hour - Location: Remote Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Requirements

  • PhD in Biology or a closely related life sciences field.
  • Deep expertise in Molecular & Cellular Biology, Organismal Physiology & Development, Microbiology, Immunology & Pathobiology, or Ecology, Evolution & Environmental Biology.
  • Significant experience using large language models (LLMs).
  • Excellent writing skills and ability to explain complex life sciences concepts.
  • Strong attention to detail.
  • Experience reviewing or editing technical or academic writing.
  • Prior experience with RLHF, model evaluation, or data annotation work.
  • Experience teaching, mentoring, or explaining life sciences concepts to non-expert audiences.
  • Familiarity with evaluation rubrics, benchmarks, or structured review frameworks.

Benefits

  • Compensation: $73/hour
  • Location: Remote
  • Application Process
  • Upload resume
  • AI interview based on your resume
  • Submit form
  • Resources & Support
  • For details about the interview process and platform information, please check: Interview Process
  • For any help or support, reach out to: support@mercor.com
  • Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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