Marketing Task Author (AI Training)

About The Role Alignerr is building a dataset of expert tasks that train and evaluate advanced AI agents on real enterprise marketing work. As a Marketing Task Author based in the Toronto area, 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. This is a fully remote, flexible contract role open to experienced marketing professionals across Canada who want to contribute their expertise to the cutting edge of AI development. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: Flexible, task-based 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, enterprise, or technology-sector marketing within the Canadian market. Familiarity with marketing analytics platforms (e.g., HubSpot, Marketo, Google Analytics, Looker). Background working with North American or bilingual (English/French) marketing campaigns. Why Join Us Work on cutting-edge AI projects alongside leading research labs. Fully remote and flexible — work when and where it suits you. Freelance autonomy with the structure of meaningful, task-based work. Contribute to AI development that directly shapes how technology handles real enterprise marketing challenges. Potential for ongoing work and contract extension as new projects launch.

Design and calibrate realistic marketing tasks and scoring rubrics to train AI agents on enterprise marketing work. This includes drafting on-brand announcements, analyzing campaign attribution, and setting up data-driven task environments.

Requires hands-on experience in demand, content, or product marketing with the ability to verify factual accuracy and brand alignment. Candidates must be comfortable working with campaign performance data and competitive positioning documents.

• Fully remote and flexible work • Freelance autonomy • Potential for ongoing work and contract extension

• Analyse de donnéesSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Demand Generation
• Content Marketing
• Product Marketing
• Campaign Attribution Analysis
• Brand Judgment
• Data Analysis
• Rubric Creation
• Competitive Analysis
• Prompt Engineering
• B2B Marketing
• Enterprise Marketing
• Marketing Analytics

• Marketing
• Technology
• Data & Analytics
• Creative & Media
• Software

Expérience minimale

2+ ans

Postuler avant le

17 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Toronto, Ontario, Canada

Niveau d’expérience

Entry level