About this role
Role Overview
Apply your marketing expertise to help develop advanced large language models. In this role, you will bring practical brand, growth, and campaign judgment to AI training data, partnering with research and engineering teams to improve model performance on marketing-focused tasks.
Key Responsibilities
- Help research and engineering teams address knowledge gaps in brand strategy, growth marketing, and campaign reasoning.
- Create challenging, relevant marketing tasks and produce accurate, well-reasoned solutions based on real-world marketing practice.
- Assess AI model outputs using structured rubrics and provide clear written feedback on correctness, judgment, and reasoning quality.
- Develop and improve evaluation guidelines and scoring rubrics for marketing tasks.
- Work with other subject-matter experts to maintain consistent, accurate training data.
Qualifications
- At least 8 years of dedicated professional marketing experience, such as brand strategy, growth marketing, or performance marketing, at a recognized top-tier organization comparable to P&G, Unilever, Nike, Ogilvy, WPP, or Omnicom.
- Hands-on experience evaluating LLM or AI model outputs against rubrics or structured scoring criteria. This is required and should be described in your application.
- Demonstrated career progression, such as Marketing Manager to Senior Manager to Director or VP of Marketing.
- Strong verbal and written communication, problem-solving, and interpersonal skills.
Work Terms
- Hourly W-2 employment, with placement on the extended workforce of a leading AI lab.
- Reliable weekday availability of at least 35 hours per week is required.
- Location: United States.
Compensation
$60 to $80 per hour.
Equal Employment Opportunity
Employment decisions are made without discrimination based on race, religion, color, national origin, sex, including pregnancy, childbirth, reproductive health decisions, or related medical conditions, sexual orientation, gender identity or expression, age, protected veteran status, disability, genetic information, political views or activity, or any other legally protected characteristic.