GenAI Marketing Strategist

Mercor

New York (NY)

Remote

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Mercor is seeking a Marketing SME to join a GenAI-focused team, evaluating AI outputs against rubrics to strengthen training data and model performance. This W-2 role through Cincinnatus LLC places you within a leading AI lab's ecosystem.

You will guide brand strategy and growth marketing tasks, ensuring rigorous assessment of marketing work with cross-functional collaboration, at least 35 hours per week.

Qualifications

  • 8+ years of marketing experience at top-tier organizations.
  • Hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria.
  • Visible career progression (Marketing Manager → Senior Manager → Director/VP).
  • Able to engage reliably for at least 35 hours/week during weekdays.
  • Strong verbal and written communication, problem-solving and interpersonal skills.

Responsibilities

  • Guide research and engineering teams to close knowledge gaps in brand strategy, growth marketing, and campaign-reasoning tasks.
  • Design challenging, domain-relevant marketing tasks and write accurate, well-reasoned solutions grounded in real marketing practice.
  • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality.
  • Develop and refine evaluation guidelines and scoring rubrics specific to marketing tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Skills

Marketing experience
LLM/AI evaluation
Career progression
Communication skills
35+ hours availability

Job description

Mercor is seeking a Marketing SME to join a GenAI-focused team, evaluating AI outputs against rubrics to strengthen training data and model performance. This W-2 role through Cincinnatus LLC places you within a leading AI lab's ecosystem.

You will guide brand strategy and growth marketing tasks, ensuring rigorous assessment of marketing work with cross-functional collaboration, at least 35 hours per week.

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