English Quality Assurance Lead - Remote

Overview

This remote contractor position for an English Quality Assurance Lead involves overseeing the quality and consistency of AI-related English content and the performance of trainers within AI training projects. The role requires comprehensive review and evaluation of AI-generated content and contributor outputs to ensure they align with project standards.

Key Responsibilities

• Perform quality control checks on submitted content, identify deficiencies, and provide constructive, written feedback.
• Monitor and guide trainers and quality assurance personnel through regular updates on project guidelines, workflows, and standards via communication platforms such as Discord.
• Address queries from trainers and QAs promptly to clarify instructions and resolve uncertainties.
• Manage activation of contributors by engaging those inactive, tracking communications, and escalating availability issues as necessary.
• Develop and maintain comprehensive project documentation including style guides, FAQs, trackers, quality notes, onboarding materials, and honeypots.
• Coordinate and conduct onboarding and training sessions to familiarize contributors with project requirements and quality benchmarks.
• Ensure uniform application of guidelines among all project participants and communicate any changes effectively.
• Identify recurring quality issues and recommend improvements to existing processes to enhance scalability and effectiveness of quality assurance efforts.

Required Qualifications and Skills

• Bachelor’s or Master’s degree in English, Linguistics, Communications, Journalism, Education, AI/Data Annotation, Quality Assurance, or a relevant discipline.
• Proficient understanding of English grammar, tone, clarity, writing structure, and the ability to provide precise written feedback.
• At least three years of professional experience in quality assurance, editing, content review, AI training, annotation, localization QA, or similar quality evaluation roles.
• Experience managing or supporting remote teams of trainers, annotators, editors, or QAs is highly desirable.
• Capability to assess work against established rubrics, identify quality issues, and communicate them clearly and constructively.
• Excellent written communication skills and comfort with team coordination through digital collaboration tools like Discord, Google Sheets, and project management software.
• Highly organized, detail-oriented, and reliable with skills in maintaining documentation and managing quality workflows across different time zones.
• Experience with AI training data, data annotation, large language models, and evaluation of LLM outputs is advantageous.

Additional Information

This role is hourly and contract-based. Although there is no immediate project availability, successful candidates will be among the first contacted for upcoming opportunities. This position offers a chance to contribute directly to improving AI models by ensuring high-quality training datasets and standards are upheld.