Code Reviewer for LLM Data Training (SQL)
Role Overview
This senior-level role involves auditing annotator evaluations of AI-generated SQL responses to ensure technical correctness, adherence to instructions, and consistent application of rubrics. As part of a remote AI training QA team, you will run and validate proof-of-work code, identify errors, and provide constructive feedback, directly impacting the quality of AI model training data.
Perks & Benefits
This is a fully remote position with flexible work arrangements, likely allowing for asynchronous collaboration across time zones. Compensation is personalized based on experience and location, paid weekly for reliable income, with opportunities for rate re-evaluation and career growth through performance on diverse AI projects.
Full Job Description
About the Company
G2i connects subject-matter experts, students, and professionals with flexible, remote AI training work such as annotation, evaluation, fact-checking, and content review. We partner with leading AI teams, and all contributions are paid weekly once approved, ensuring consistent and reliable compensation.
About the Role
We are looking for a Code Reviewer with expertise in SQL to join our AI training QA team. You will be responsible for auditing annotator evaluations of AI-generated responses written in SQL. 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 SQL responses
Verify if responses follow prompt requirements regarding query logic, joins, and correct SQL syntax.
Evaluate SQL code for correctness, performance, security, and readability
Run and validate proof-of-work code submitted by annotators to confirm functionality
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 SQL development, QA, or code review
Strong understanding of core SQL 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
Compensation
Hourly rates are personalized based on your experience level, educational background, location, and industry expertise. You’ll see your specific rate in your contract offer before signing. Rates for technical roles can vary significantly based on these factors and can be re-evaluated for different projects based on your performance and experience.
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