Marketing Subject Matter Expert ( SME ) - Reopened

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

Marketing Subject Matter Expert (SME) AI Model Training & Evaluation

Role Overview

We are seeking a Marketing Subject Matter Expert (SME) with strong domain expertise and analytical capabilities to support the training, evaluation, and fine-tuning of AI models for marketing applications. This role serves as the critical link between marketing strategy and AI systems, ensuring models accurately understand marketing concepts, workflows, decision-making processes, and business objectives.

The ideal candidate will bring extensive hands-on experience across the entire marketing funnel—from campaign strategy and content development to analytics, optimization, and customer engagement—along with a strong interest in leveraging AI to enhance marketing intelligence and automation.

You will collaborate closely with data scientists, machine learning engineers, and product teams to help build next-generation AI solutions, including marketing assistants, campaign optimization engines, audience intelligence systems, and predictive analytics tools.

Key Responsibilities

1. Domain Training & Annotation

• Provide marketing domain expertise during AI model training, ensuring systems accurately understand marketing terminology, logic, and workflows.

• Label, curate, validate, and refine datasets containing marketing-related content, including:

  • Ad copy

  • Campaign briefs

  • Customer personas

  • KPIs and performance metrics

  • Customer segments

• Design realistic marketing scenarios and prompts representing diverse business contexts, such as:

  • Brand launches

  • Performance marketing campaigns

  • A/B testing initiatives

  • Multichannel marketing programs
    

2. Workflow Simulation & Process Mapping

• Translate end-to-end marketing workflows into structured training data for AI learning.

• Map campaign processes, including:

  • Campaign planning

  • Execution

  • Measurement

  • Optimization

• Identify key decision points, dependencies, and performance metrics that AI systems must understand.

• Partner with ML engineers to represent marketing workflows using AI-compatible structures such as:

  • Taxonomies

  • Knowledge graphs

  • Structured datasets

3. Model Evaluation & Feedback

• Review AI-generated outputs for:

  • Marketing relevance

  • Creativity

  • Brand alignment

  • Tone and messaging consistency

  • Regulatory and compliance considerations

• Provide structured feedback and actionable recommendations to improve model performance and output quality.

• Develop and refine evaluation frameworks based on:

  • Campaign effectiveness

  • Audience targeting accuracy

  • Brand consistency

  • Content quality

  • Business impact

4. Strategic Collaboration & Innovation

• Collaborate with product and engineering teams to define AI-driven marketing use cases, including:

  • Campaign recommendations

  • Content personalization

  • Audience segmentation

  • Performance forecasting

  • Marketing automation

• Identify opportunities where AI can improve marketing efficiency, productivity, and decision-making.

• Stay current with emerging marketing technologies, data platforms, and generative AI tools to inform model enhancement initiatives.

Required Qualifications

• Bachelor's or Master's degree in Marketing, Business Administration, Communications, or a related field.

• 7 12 years of hands-on marketing experience, including exposure to:

Campaign Strategy & Execution

• Digital marketing

• Social media marketing

• Performance marketing

• Brand marketing

Marketing Technology & Automation

• HubSpot

• Salesforce Marketing Cloud

• Marketo

• Similar marketing automation platforms

Analytics & Measurement

• Google Analytics

• Looker

• Power BI

• Marketing performance reporting and dashboarding

Customer Experience & Content

• Customer segmentation

• Customer journey mapping

• Content strategy and planning

Optimization & Media Management

• Media planning

• A/B testing

• Conversion optimization

• ROI analysis and performance improvement

SEO & AI-Driven Research

• SEO strategy and keyword research

• Experience leveraging AI/ML methodologies and tools to improve SEO outcomes and content performance

Additional Requirements

• Proven ability to convert real-world marketing challenges into structured data, workflows, or process documentation.

• Excellent written and verbal communication skills with the ability to clearly explain marketing concepts to technical teams.

• Experience collaborating cross-functionally with:

  • Data Science teams

  • Product teams

  • Engineering teams

• Strong analytical thinking and problem-solving abilities.

Ideal Workflow Experience

Candidates should have practical experience managing or contributing to several of the following workflows:

1. Campaign Lifecycle Management

• Campaign brief creation

• Creative development

• Approval workflows

• Campaign launch and execution

• Performance tracking

• Post-campaign analysis and reporting

2. Performance Marketing

• Keyword research

• Bidding strategies

• Conversion tracking

• Landing page optimization

• A/B testing and experimentation

3. CRM & Marketing Automation

• Lead scoring

• Email nurturing and drip campaigns

• Audience segmentation

• Personalization strategies

• Customer retention programs

4. Content Strategy & Social Media

• Editorial calendar planning

• Content creation and optimization

• Influencer marketing campaigns

• Social media performance analysis

• Engagement measurement

5. Data-Driven Marketing

• Marketing analytics and reporting

• KPI tracking and interpretation

• Dashboard creation

• Campaign optimization using data insights

6. Brand & Communications

• Brand positioning

• Storytelling and messaging

• Tone of voice management

• Cross-channel communication consistency

• Brand governance and compliance

Preferred Skills

• Experience working with Generative AI, Large Language Models (LLMs), or AI-assisted marketing platforms.

• Familiarity with data annotation, prompt engineering, or AI model evaluation methodologies.

• Understanding of customer data platforms (CDPs), marketing data ecosystems, and predictive analytics.

• Ability to bridge business requirements and technical implementation in AI-driven environments.

Guidelines

Truelancer AI verifies each project before posting. Apply on Truelancer AI; never pay to get work.