English QA Lead

Role overview

This remote contractor position is focused on English quality assurance leadership for AI training work. You’ll be responsible for keeping output consistent, accurate, and aligned with project rules while also supporting the performance of trainers and QAs. The role involves reviewing AI-written English content as well as trainer and QA submissions, then giving clear written feedback and helping contributors stay on track.

Your work will center on checking accuracy, clarity, reasoning, grammar, tone, formatting, and adherence to task-specific rubrics. You will also look for repeat issues, keep communication flowing across remote teams, maintain documentation, and help reactivate contributors who are not consistently engaged. The position is part of a fast-growing AI data services company that supports leading AI companies and foundation model labs. Your quality oversight will help improve training data so it is dependable, well documented, and aligned with client needs.

This is an hourly remote contractor role. There is no live project available right now, but qualified candidates may be contacted first when relevant work opens up. Being selected may also provide access to future assignments through the wider expert network.

Job details

Job title: English Quality Assurance Lead

Job type: Contract

Location: Remote

Responsibilities

• Review submitted work, identify quality problems, and share ongoing feedback through direct messages while escalating serious or repeated issues.
• Keep trainers and QAs informed on Discord about new instructions, project updates, workflow changes, and quality expectations.
• Answer contributor questions quickly and clearly so that instructions and edge cases are understood correctly.
• Reach out to inactive contributors, encourage them to resume work, monitor follow-ups, and report availability concerns where needed.
• Build and maintain project materials such as style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding resources.
• Arrange and run onboarding or training calls for trainers and QAs to walk through rubrics, workflows, standards, and expectations.
• Make sure guidelines are applied consistently across the team as project requirements change over time.
• Find recurring quality issues, suggest process improvements, and support scalable QA systems for future projects.

Requirements

• A bachelor’s or master’s degree in English, Linguistics, Communications, Journalism, Education, AI/Data Annotation, Quality Assurance, or a closely related field.
• Excellent command of English, including grammar, clarity, tone, register, structure, and the ability to give high-quality written feedback.
• At least 3 years of professional experience in QA, editing, content review, AI training, education, annotation, localization QA, or similar review-based work.
• Prior experience leading or supporting remote teams such as trainers, annotators, reviewers, editors, or QAs is preferred.
• Strong ability to assess work against detailed rubrics, spot quality gaps, and explain issues in a constructive way.
• Clear communication skills for handling contributor questions, sharing updates, and writing actionable feedback.
• Comfort using remote collaboration tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management platforms.
• High attention to detail and strong organization skills for managing documentation, FAQs, style guides, trackers, onboarding materials, and honeypots.
• Self-motivated, dependable, and able to manage activation, follow-ups, escalations, and quality checks across time zones.
• Experience with AI training, data annotation, large language models, prompt/response review, or rubric-based LLM QA is a strong advantage.

Additional information

This role is described as hourly and remote, with no immediate project currently assigned. If you meet the requirements, you may be contacted when suitable opportunities come up and may gain access to future projects through the expert network.