English QA Lead

About the Role

This is a remote contractor position paid on an hourly basis. You will lead English quality assurance work across AI training projects, with responsibility for keeping output consistent, accurate, and aligned with project standards. The role focuses on reviewing AI-generated English content as well as the work produced by trainers and QA contributors, then turning that review into clear, useful feedback.

You will evaluate submissions for accuracy, clarity, reasoning, grammar, tone, formatting, and compliance with task instructions and rubrics. Part of your work will also involve identifying repeated issues, sharing updates with contributors, supporting onboarding, maintaining project documentation, and following up with people who are not actively contributing.

This opportunity sits within a fast-scaling AI data services company that supplies training data to major AI organizations and foundation model teams. Your work will help improve model quality by making sure data is reliable, consistent, well documented, and in line with client expectations.

There is no active project available right now. If you are a strong fit, you may be contacted first when relevant work becomes available, and you may also gain access to future opportunities through the company’s expert network.

Employment Details

Contract role, remote, and billed hourly.

Responsibilities

• Review submitted work, identify quality problems, and give ongoing feedback through direct messages while escalating serious or repeated concerns.
• Keep trainers and QAs informed in Discord about new guidelines, workflow updates, project changes, and quality expectations.
• Answer contributor questions clearly and quickly so instructions and edge cases are understood correctly.
• Reach out to inactive contributors, encourage reactivation, track follow-ups, and note any availability concerns.
• Build and maintain project documentation such as style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding resources.
• Organize and lead onboarding or training calls to explain expectations, workflows, rubrics, and quality standards.
• Make sure trainers and QAs apply the rules consistently as the project evolves.
• Recommend process improvements and help create scalable QA systems for upcoming 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 written English, including grammar, clarity, tone, structure, and the ability to deliver strong written feedback.
• At least 3 years of professional experience in QA, editing, content review, AI training, education, annotation, localization QA, or a similar review-based function.
• Prior experience guiding or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is preferred.
• Strong judgment for checking work against detailed rubrics and identifying quality gaps with clear, constructive explanations.
• Good communication skills for answering questions, sharing updates, and giving actionable feedback in writing.
• 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 maintaining style guides, FAQs, trackers, onboarding materials, honeypots, and related documentation.
• Self-directed, 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 evaluation, or rubric-based LLM QA is a strong advantage.

Additional Information

This role is hourly and remote. The position has no immediate project assignment, but qualified candidates may be considered for future work and early outreach when suitable opportunities open up.

Terms and Conditions

Applicants should be prepared to support contributor communication, documentation upkeep, onboarding, and quality operations as projects change over time. Work is expected to be handled in a distributed remote environment across different time zones.