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Glynn Capital
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Code Reviewer for LLM Data Training (HTML/CSS)

SuperAnnotate

SuperAnnotate

Software Engineering
India
Posted on May 6, 2025

About the Role

We are looking for a Code Reviewer with expertise in HTML/CSS to join our AI training QA team. You will be responsible for auditing annotator evaluations of AI-generated responses written in HTML/CSS. Your role will be to ensure technical correctness, instruction adherence, proof-of-work validation, and consistent application of evaluation rubrics.

Responsibilities

  • - Audit annotator evaluations of AI-generated HTML/CSS responses
  • - Verify if responses follow prompt requirements regarding semantic HTML structure, CSS layout, and styling conventions.
  • - Evaluate HTML/CSS code for correctness, performance, security, and readability
  • - Run and validate proof-of-work code submitted by annotators to confirm functionality
  • - Review annotator-submitted Loom videos to assess evaluation and testing accuracy
  • - Ensure responses align with instruction-following expectations including style, tone, and clarity
  • - Identify and document errors, omissions, or rating inconsistencies
  • - Provide clear, constructive QA feedback based on rubric and guideline criteria
  • - Collaborate with internal teams for clarifications on complex or ambiguous items

Required Qualifications

  • - 5–7+ years of experience in HTML/CSS development, QA, or code review
  • - Strong understanding of core HTML/CSS concepts and development best practices
  • - Experience with debugging, testing tools, and code execution environments
  • - Strong analytical and critical thinking skills
  • - Excellent written communication for documenting evaluations and feedback
  • - English proficiency at B2, C1, C2, or Native level

Preferred Qualifications

  • - Experience with AI/LLM workflows, human-in-the-loop QA, or model evaluation
  • - Familiarity with structured code evaluation processes and rubrics
  • - Experience using QA/annotation platforms such as SuperAnnotate

Why Join Us

Join a forward-thinking team shaping how AI learns to understand and write HTML/CSS code. Your expertise will directly influence the quality, reliability, and instructional value of AI-generated content. This is a fully remote role offering flexible hours, milestone-based structure, and competitive compensation.