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Code Reviewer for LLM Data Training (SQL)
Code Reviewer for LLM Data Training (SQL)G2i Inc. • Phoenix, AZ, US
Code Reviewer for LLM Data Training (SQL)

Code Reviewer for LLM Data Training (SQL)

G2i Inc. • Phoenix, AZ, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description

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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