AI Marketing Trainer & Content Quality Reviewer (Remote)

Alignerr Corp.

Cape Town

Remote

ZAR 165,000 - 344,000

Part time

27 hours ago
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Benefits offered by this job

Autonomy
Variety
Global collaboration

Job summary

Alignerr (Powered by Labelbox) seeks a Marketing Instructor to shape AI training content focused on marketing strategy, consumer behavior, and brand positioning. You will review and critique AI-generated questions and explanations used in educational datasets, contributing to high-quality, real-world learning materials.

The role is fully remote, hourly, and contract-based, offering flexible hours (10–40 per week) and opportunities for ongoing collaboration with leading AI researchers.

Qualifications

  • 3+ years of experience teaching marketing at the postsecondary level.
  • Strong command of marketing strategy, consumer behavior, and business communications.
  • Ability to critically assess written business reasoning and evaluate quality of strategic recommendations.
  • Skilled at delivering clear, constructive, and structured written feedback.
  • Self-motivated and able to work independently in a remote environment.

Responsibilities

  • Review AI-generated marketing questions, scenarios, and explanations for AI training datasets.
  • Assess quality and accuracy of reasoning around brand positioning and go-to-market strategy.
  • Provide structured feedback to improve instructional quality of AI outputs.
  • Identify misconceptions or gaps in AI-generated marketing content.
  • Work independently and asynchronously to complete tasks on your schedule.

Skills

Marketing education
Marketing strategy
Consumer behavior
Business communications
Written feedback
Remote work

Education

Master's degree in Marketing, Business, or related field

Tools

AI tools
Content evaluation workflows
Data labeling platforms

Job description

Alignerr (Powered by Labelbox) seeks a Marketing Instructor to shape AI training content focused on marketing strategy, consumer behavior, and brand positioning. You will review and critique AI-generated questions and explanations used in educational datasets, contributing to high-quality, real-world learning materials.

The role is fully remote, hourly, and contract-based, offering flexible hours (10–40 per week) and opportunities for ongoing collaboration with leading AI researchers.

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