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Posted over 30 days ago. Roles like this often stay open for a while, so it's still worth applying.

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Senior Marketing Manager (AI Trainer) at Turing

posted 3 months ago
turing.com Contractor remote: US, LATAM Varies 322 views

Senior Marketing Manager – AI Trainer | Contractor | Remote (US & LATAM)

Turing is seeking experienced Senior Marketing Managers to serve as Senior AI Trainers, helping shape the next generation of AI systems by applying deep marketing expertise to evaluate, create, and refine complex AI-generated outputs.

About Turing

Turing is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing partners with leading AI labs to push frontier model capabilities — and leverages that work to build real-world AI solutions for enterprise clients.

Role Overview

In this role, you will create, evaluate, and refine complex marketing tasks spanning strategy, segmentation, positioning, campaign planning, channel optimization, performance measurement, and budget allocation. Your expert judgment will ensure AI outputs are accurate, commercially relevant, and strategically sound across diverse markets and customer segments.

Requirements

  • 8–15 years of experience in brand, product, growth, or integrated marketing, including leadership responsibilities.
  • Proven ability to develop marketing strategies aligned with customer needs, market opportunities, and business objectives.
  • Strong experience managing cross-channel programs across digital, content, paid media, lifecycle, partnerships, and offline channels.
  • Advanced proficiency in marketing analytics, attribution, performance measurement, experimentation, and customer insights.
  • Demonstrated ownership of marketing budgets, resource allocation, agency management, and campaign ROI.
  • Expert in brand positioning, messaging, go-to-market strategy, audience segmentation, and end-to-end campaign architecture.

Responsibilities

  • Produce expert-level marketing tasks and solutions that meet the pod's quality standards.
  • Incorporate calibration feedback from senior reviewers and iterate accordingly.
  • Apply rubric standards established by the Functional SME (Expert) Lead.

Education & Experience

  • Bachelor's degree or equivalent practical experience in any field.
  • Experience in AI evaluation, data annotation, content review, or quality assurance is a plus, but not required.

Engagement Details

  • Type: Contractor
  • Duration: Up to 9 weeks
  • Commitment: Minimum 4 hours/day, up to 40 hours/week, with at least 4 hours of overlap with PST.

Evaluation Process

  • Shortlisted candidates will receive a Job Interest Form.
  • Final selected candidates will be contacted with next steps and onboarding requirements.
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