English Quality Assurance Lead (QAL)

Key Responsibilities

• Spot-check submitted items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations.
• Respond to trainer/QA questions clearly and promptly, ensuring contributors understand instructions and edge cases.
• DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Create and maintain project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
• Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, and quality standards.
• Ensure all trainers and QAs apply guidelines consistently and understand changes as projects evolve.
• Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for future projects.

Requirements

• Bachelor’s or Master’s degree in English, Linguistics, Communications, Journalism, Education, AI/Data Annotation, Quality Assurance, or a relevant domain/related field.
• Strong grasp of the English language, including grammar, clarity, tone, register, structure, and written feedback quality.
• 3+ years of professional experience in quality assurance, editing, content review, AI training, education, annotation, localization QA, or related review workflows.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.
• Strong ability to evaluate work against detailed rubrics and guidelines, identify quality gaps, and explain issues clearly and constructively.
• Excellent communication skills, including the ability to answer contributor questions, share project updates, and provide actionable feedback in writing.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation.
• Reliable, self-directed, and able to manage contributor activation, follow-ups, escalations, and quality checks across time zones.
• Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a strong plus.