Marketing Task Author

Alignerr is building a dataset of expert tasks that train and evaluate advanced AI agents on real enterprise work. As a Task Author for the Marketing role, you will design and calibrate demand and content tasks grounded in real data — drafting on-brand announcements, building competitive comparisons, and tracing campaign attribution — that require factual accuracy, brand judgment, and data-backed conclusions.

Key Responsibilities

• Author realistic marketing task prompts: on-brand announcement drafts, competitive comparison documents, and campaign attribution analysis.
• Write scoring rubrics that specify factual accuracy standards, brand fit criteria, and the data logic required to confirm a conclusion is supported.
• Set up task environments with the campaign data, brand guidelines, competitive intelligence, and analytics outputs needed to replicate a real marketing work scenario.
• Solve each task yourself to confirm the scenario is realistic, the correct output is clear, and the rubric reflects genuine marketing judgment.
• Calibrate task difficulty — adjust data complexity, brand guideline specificity, or attribution ambiguity until the task reliably challenges the model to the intended degree.
• Review and correct AI-drafted task prompts or rubrics when provided.

Qualifications

• Hands-on experience in a marketing role — demand generation, content marketing, product marketing, or a closely related function.
• Ability to verify factual accuracy in marketing claims and confirm that stated conclusions follow from the underlying data.
• Strong brand judgment: can assess whether a draft is on-brand and articulate why with specific, checkable criteria.
• Comfortable working with campaign performance data, attribution reports, and competitive positioning documents.
• Ability to define precise correctness criteria for marketing outputs — not just "good writing" but verifiable accuracy, brand alignment, and data support.

Nice to Have

• Experience in B2B, industrial, or enterprise marketing contexts.
• Familiarity with marketing analytics platforms (e.g., HubSpot, Marketo, Google Analytics, Looker).