AI Social Content QA Specialist

SME Careers

Singapore

On-site

SGD 41,328 - 68,880

Part time

14 days+

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Job summary

SME Careers is seeking a Social Media Subject Matter Expert (SME) for an hourly remote contractor role focused on reviewing AI-generated social content and strategy, while crafting high-quality expert posts. This position involves evaluating AI performance to ensure clarity and brand fit, contributing directly to the development of training data for top AI companies.

The ideal candidate will have over five years of relevant experience, a Bachelor's degree, and strong platform mechanics knowledge across major social media channels. Responsibilities include creating AI training content and ensuring model integrity through meticulous evaluation of outputs.

Qualifications

  • 5+ years of professional experience managing social media for brands.
  • Proven ability to craft platform-native content tailored to audience intent.
  • Minimum C1 English proficiency with excellent written communication.

Responsibilities

  • Create detailed prompts and gold-standard social outputs for AI learning.
  • Evaluate and rank AI responses to improve engagement and clarity.
  • Test AI outputs for inaccuracies and policy risks.

Skills

Social media management
Content creation
Analytics instincts
Brand safety evaluation

Education

Bachelor’s degree in Marketing, Communications, Journalism, or related

Job description

SME Careers is seeking a Social Media Subject Matter Expert (SME) for an hourly remote contractor role focused on reviewing AI-generated social content and strategy, while crafting high-quality expert posts. This position involves evaluating AI performance to ensure clarity and brand fit, contributing directly to the development of training data for top AI companies.

The ideal candidate will have over five years of relevant experience, a Bachelor's degree, and strong platform mechanics knowledge across major social media channels. Responsibilities include creating AI training content and ensuring model integrity through meticulous evaluation of outputs.

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