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G2i

Code Reviewer for LLM Data Training (SQL)

Sorry, this job was removed at 02:13 p.m. (IST) on Thursday, Feb 19, 2026
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In-Office or Remote
118 Locations
In-Office or Remote
118 Locations

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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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