Summary: The QA Specialist role focuses on auditing evaluations of AI-generated HTML and CSS code conducted by Data Annotators. The position requires validating the accuracy of annotator assessments and ensuring high-quality outputs in the AI training pipeline. The role is fully remote and offers flexible hours, emphasizing the importance of detail-oriented work in the context of AI technology. Candidates with extensive experience in frontend QA and web code review are encouraged to apply.

Key Responsibilities:

• Audit annotator evaluations of AI-generated HTML/CSS code responses.
• Confirm correct application of rating guidelines for instruction-following and correctness.
• Test and validate annotator-submitted proof-of-work code for structural, visual, and functional accuracy.
• Identify errors in annotator feedback, missing validations, or incorrect conclusions.
• Provide constructive written feedback to ensure continuous improvement.
• Collaborate with QA leads to maintain consistent evaluation standards.

Key Skills:

• 5–7+ years of professional experience in frontend QA, HTML/CSS debugging, or web code review.
• Strong understanding of semantic HTML, CSS layout systems (Flexbox, Grid), responsive design, and cross-browser compatibility.
• Experience validating code functionality, appearance, accessibility, and standard compliance.
• Familiarity with browser developer tools and frontend testing tools.
• Excellent written communication and documentation skills.
• English proficiency at B2, C1, C2, or Native level.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT