AI Marketing SME: Train & Elevate Campaign Intelligence

Truelancer AI; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Truelancer AI is seeking a Marketing Subject Matter Expert (SME) to help train, evaluate, and fine-tune AI models for marketing applications. You will ensure models understand marketing terminology, workflows, and business objectives across the marketing funnel.

You will collaborate with data scientists, ML engineers, and product teams to build marketing assistants, optimization engines, and predictive analytics tools, translating real-world marketing challenges into structured data and

Qualifications

• Bachelor's or Master's degree in Marketing, Business Administration, Communications, or a related field.
• 7–12 years of hands-on marketing experience across funnel activities and Martech.
• Experience collaborating with data science, ML engineering, and product teams.

Responsibilities

• Domain Training & Annotation: label and refine datasets with marketing content.
• Workflow Simulation & Process Mapping: translate marketing workflows into structured data.
• Model Evaluation & Feedback: review outputs for relevance, tone, and compliance.
• Strategic Collaboration & Innovation: define AI-driven marketing use cases with teams.

Skills

Marketing domain expertise

Analytical capabilities

Cross-functional collaboration

AI model training concepts

Dataset annotation

Education

Bachelor's or Master's in Marketing or related field

Tools

HubSpot

Salesforce Marketing Cloud

Marketo

Power BI

Looker

Job description

Truelancer AI is seeking a Marketing Subject Matter Expert (SME) to help train, evaluate, and fine-tune AI models for marketing applications. You will ensure models understand marketing terminology, workflows, and business objectives across the marketing funnel.

You will collaborate with data scientists, ML engineers, and product teams to build marketing assistants, optimization engines, and predictive analytics tools, translating real-world marketing challenges into structured data and