$60–80/hr · Mercor · Part time
Marketing specialist who evaluates and trains AI systems by creating marketing tasks, assessing AI strategies, and providing expert feedback on AI performance.
What you would do
- Design realistic marketing briefs, scenarios, and datasets to challenge AI systems on strategy, targeting, and content decisions
- Evaluate how well AI-generated marketing approaches align with business goals, consumer psychology, and competitive positioning
- Score and analyze AI outputs for strategy quality, messaging clarity, audience fit, and tactical feasibility
- Provide detailed feedback explaining AI reasoning gaps and areas where marketing expertise revealed AI limitations or strengths
Who they want
- Hands-on background in digital marketing execution, campaign management, or brand strategy from your career
- Deep familiarity with how marketing decisions connect to consumer behavior, market research, and business results
- Ability to think clearly about marketing hypotheses and test how AI applies domain knowledge to novel scenarios
- Comfortable working independently on a remote basis with structured evaluation rubrics and self-directed project management
- Flexibility to commit 15-30 hours per week on a part-time basis around your other work
Main skills
What the interview asks about
1.Strategy evaluation against business context
AI systems must generate marketing strategies that respond to actual market conditions and business constraints, not generic best practices. This tests whether you can assess if AI truly understands how to position a product.
For example: “A fitness app needs a market entry strategy for luxury consumers in Southeast Asia. Evaluate the AI's positioning, pricing tier, and influencer partnership fit against market and business constraints.”
2.Campaign messaging assessment
AI must generate copy and messaging that connects emotionally with target audiences while reflecting brand voice. Evaluators need to judge whether AI understands tone, cultural nuance, and persuasion.
For example: “You're given an AI-generated email campaign for a B2B SaaS platform targeting CFOs with cost reduction messaging. What would you check to assess if the AI's tone and value propositions actually resonate with that buyer, and where might AI miss the mark?”
3.Competitive positioning reasoning
Marketing decisions require understanding both your offering and competitor landscapes. AI evaluation needs judges who can spot when AI positioning confuses differentiation or ignores real competitive threats.
For example: “An AI recommends a new energy drink focus on 'sustainable ingredients' in a market already saturated with that claim. How would you assess whether the AI understood the competitive landscape, and what feedback would help the AI recognize crowded positioning?”
4.Audience segmentation and targeting logic
Effective marketing targets the right customer personas with customized messaging. Evaluators must verify that AI segmentation assumptions are realistic and that AI's targeting rationale actually addresses distinct audience needs.
For example: “AI proposes segmenting luxury watch buyers into 'engineers who value precision' and 'executives who value status.' How would you test whether these segments actually drive different messaging, and whether AI's assumptions about buyer motivations hold up?”
5.Task design for AI skill assessment
Creating good evaluation scenarios requires knowing which marketing decisions reveal AI weaknesses. You need to design briefs that isolate specific skills and expose gaps in AI reasoning.
For example: “Design an evaluation task that tests whether AI can adapt product messaging across three different audience segments. What constraints would you add to ensure the task measures AI's adaptability?”
A task you may get
Evaluate an AI-generated marketing strategy for a product against business constraints, competition, and customer profiles. Score across strategy fit, audience alignment, and messaging quality.
How to prepare
- Review several AI-generated marketing plans and practice scoring the strategic fit, positioning clarity, and audience targeting in each one
- Think through past campaigns you managed: identify which decisions were hardest for your team and consider how you'd test if AI understands those complexities
- Sketch out a marketing scenario for a product or service you know well, then consider what evaluation questions would expose AI gaps in competitive thinking or audience psychology
- Prepare examples of successful positioning from your career that involved navigating trade-offs between brand promise, market reality, and audience preference
The facts
- Pay
- $60–80/hr
- Hours
- Part time
- Where
- Remote
- Field
- Business Operations
- Role type
- Talent network
- Posted
- 2/27/2026
We wrote this page from the public Mercor listing. It may be out of date, so read the full posting before you apply.