GenAI Marketing Specialist: Guide AI Training & Growth

DigiNo; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Cincinnatus LLC is seeking a Marketing SME to help build foundational AI models and evaluate outputs against structured rubrics. You will guide teams on brand strategy, growth marketing, and campaign reasoning tasks, writing precise solutions grounded in real marketing practice.

Prior experience evaluating LLM outputs against rubrics is mandatory. The role requires reliable engagement for at least 35 hours per week on weekdays, with strong communication and interpersonal skills to collaborate

Qualifications

• 8+ years of dedicated professional experience in marketing at a top-tier organization.
• Hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria.
• Demonstrable career progression (e.g., Marketing Manager to Director/VP).
• Ability to engage reliably for at least 35 hours/week during weekdays.
• Strong verbal and written communication and interpersonal skills.

Responsibilities

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

Skills

Marketing expertise

Brand strategy

Growth marketing

Performance marketing

LLM evaluation

Rubrics scoring

Cross-functional collaboration

Written communication

Job description

Cincinnatus LLC is seeking a Marketing SME to help build foundational AI models and evaluate outputs against structured rubrics. You will guide teams on brand strategy, growth marketing, and campaign reasoning tasks, writing precise solutions grounded in real marketing practice.

Prior experience evaluating LLM outputs against rubrics is mandatory. The role requires reliable engagement for at least 35 hours per week on weekdays, with strong communication and interpersonal skills to collaborate