Senior Code Reviewer for LLM Data Training (HTML/CSS)

SME Work; London; Remote; GBP 80,000 - 100,000; Full time

Job summary

SME Work is seeking a Senior Code Reviewer focusing on LLM Data Training with expertise in HTML/CSS. The role involves reviewing annotations for AI-generated code to ensure accuracy and adherence to guidelines. Ideal candidates will bring extensive experience in code quality assurance and effective communication skills, contributing directly to high standards in AI modeling.

Qualifications

• 5–7+ years in HTML/CSS development, QA, or code review.
• Strong knowledge of HTML/CSS syntax and debugging.
• Comfortable with testing tools and documentation.

Responsibilities

• Review and audit annotator evaluations of HTML/CSS code.
• Assess code for adherence to prompt instructions and functionality.
• Provide feedback to maintain annotation quality.

Skills

HTML/CSS expertise

Code review

Quality Assurance

Attention to detail

Documentation skills

Job description

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Talent Acquisition | Ex-Invisible | Hired 6,000 Annotators Globally

About Company

SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay.

About the Role

We’re hiring a Code Reviewer with deep HTML/CSS expertise to review evaluations completed by data annotators assessing AI-generated HTML/CSS code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality.

Responsibilities

• Review and audit annotator evaluations of AI-generated HTML/CSS code.
• Assess if the HTML/CSS code follows the prompt instructions, is functionally correct, and secure.
• Validate code snippets using proof-of-work methodology.
• Identify inaccuracies in annotator ratings or explanations.
• Provide constructive feedback to maintain high annotation standards.
• Work within Project Atlas guidelines for evaluation integrity and consistency.

Required Qualifications

• 5–7+ years of experience in HTML/CSS development, QA, or code review.
• Strong knowledge of HTML/CSS syntax, debugging, edge cases, and testing.
• Comfortable using code execution environments and testing tools.
• Excellent written communication and documentation skills.
• Experience working with structured QA or annotation workflows.
• English proficiency at B2, C1, C2, or Native level.

Preferred Qualifications

• Experience in AI training, LLM evaluation, or model alignment.
• Familiarity with annotation platforms.
• Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines.

Compensation:

• $25-$45 Hourly

Why Join Us?

Join a high-impact team working at the intersection of AI and software development. Your HTML/CSS expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Quality Assurance, Information Technology, and Engineering

• Industries

  Data Infrastructure and Analytics and IT Services and IT Consulting

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