Quality Assurance

We're hiring! | Content Evaluator & Quality Assurance Opportunity

Work Mode: on-site

We're seeking a detail-obsessed problem solver to:

✅ Build & refine Golden Sets for content safety

✅ Analyze high-risk edge cases & translate policy into action

✅ Drive cross-functional collaboration across Ops, Algo, Product & global teams

✅ Systematize QA frameworks & data accuracy

What we're looking for:

• Experience in Trust & Safety, QA, AI data evaluation, or policy ops

• Sharp logical reasoning & structured thinking

• Fluent English + cross-cultural communication

• Self-motivated, thrives in fast-paced environments

Responsibilities

1. Construct and iterate the core Golden Sets for the content safety ecosystem. Curate long-tail, high-risk, and complex edge cases to establish highly accurate data standards (Ground Truth) for platform safety policies, AI model evaluation, and global enforcement teams.

2. Conduct deep-dive analyses on high-risk and highly debated safety cases to accurately identify misapplication patterns and risk evolution trends. Lead the synthesis and abstraction of complex rules, translating macro policies into highly logical and executable Standard Operating Procedures (SOPs) and operational guidelines.

3. Drive the content safety data closed-loop. Collaborate cross-functionally with Operations, Algorithm, Product, and global teams to identify system vulnerabilities based on Golden Set metrics, achieving bidirectional improvements in human review quality and AI agent interception efficacy.

4. Systematize universal methodologies for the content quality management framework and establish robust daily Quality Assurance (QA) mechanisms. Track and attribute core data metrics to enhance overall data accuracy and operational efficiency.