Operating across core marketing domains—including interactive campaign content calendars and marketing campaign ROI trackers—you will convert complex marketing frameworks into structured parameters and deterministic rules. You will design, evaluate, and ground evaluation datasets to ensure AI-generated campaign plans, attribution models, and spend pacing reports adhere to elite industry practices.

Engagement type: Contractor.

• Domain Guidance & Guardrail Authoring: Author discovery parameters (channel mix, campaign cadence, approval chains, attribution windows, spend/revenue sources) and enforce critical domain guardrails (e.g., distinguishing ROAS from ROI, separating media-only spend from total CAC, isolating content pieces from multi-channel placements, and accounting for attribution model bias).
• Golden Asset Verification: Build and validate reference marketing dashboards, CPL/CPA/ROAS/ROI formulas, spend-pacing formulas, and status approval workflows in Google Sheets or Excel.
• Workflow & Dataset Co-Design: Co-design interview evaluation tracks and validate domain context files, including ad-platform spend exports, CRM revenue logs, campaign plans, and editorial calendars.
• AI Quality Audit & Sign-Off: Review, score, and refine AI-generated marketing outputs to ensure complete alignment with professional marketing analytics and operational standards.

• Core Experience: 3+ years in marketing operations, performance marketing, growth analytics, or campaign management.
• Bachelor's degree or equivalent practical experience in any field.
• Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.

Technical Infrastructure: Personal desktop/laptop equipped with a stable, high-speed internet connection in a remote setup.

Shortlisted candidates will be sent a Job Interest Form.
Finalized talents will go through delivery interview & proceeded further accordingly.

Work arrangement: Fully remote