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HTML/CSS Data Training Technical QA Lead (US-only)
G2i Inc.
$40 - $80
Dec 5, 2025
Charlotte, NC, US • Columbus, OH, US • Jacksonville, FL, US • Miami, FL, US • Austin, TX, US • Dallas, TX, US • Fort Worth, TX, US • Philadelphia, PA, US • Phoenix, AZ, US • Chicago, IL, US • Reno, NV, US • Las Vegas, NV, US • Washington D.C., DC, US • Nashville, TN, US • Oklahoma City, OK, US • Seattle, WA, US • Fairfax, VA, US • Virginia Beach, VA, US • Chesapeake, VA, US • Arlington, VA, US • Richmond, VA, US • Norfolk, VA, US • Boise, ID, US • Indianapolis, IN, US • Atlanta, GA, US • Savannah, GA, US • San Antonio, TX, US • Boston, Massachuetts, US
Uphold high standards in front-end-focused AI data training projects, ensuring the production of accurate, high-quality HTML/CSS content and training data.
Requirements
5+ years of professional front-end experience with HTML/CSS, building and maintaining real-world user interfaces or web pages.
Experience with JavaScript as well as front-end frameworks/libraries such as React, Vue, or Angular.
Strong understanding of semantic HTML, responsive design, CSS structuring, accessibility fundamentals, and performance considerations.
Responsibilities
Review HTML/CSS tasks and submissions for correctness, semantic markup, responsiveness, readability, and alignment with project guidelines.
Provide clear, constructive feedback and escalate critical issues when needed.
Assess layout structure, CSS organization, component structure, accessibility fundamentals, and performance considerations to ensure realistic, high-quality examples.
Create and maintain documentation such as HTML/CSS style guides, component examples, review checklists, trackers, FAQs, honeypots, and related materials.
Schedule and run onboarding and training sessions for new trainers/QAs, covering front-end quality standards, common issues, and review expectations.
Other
Bachelor’s or Master’s degree in Computer Science, Web Development, or a related field.
C1-level English proficiency for documentation and async communication in a global environment.
Strong analytical skills with the ability to review complex code and tasks systematically.
High attention to detail and the ability to deliver high-quality work independently.
Leadership mindset: Work independently, give feedback confidently, and help keep the trainer/QA community engaged and supported.
