Sr. SWE for Code Reviewing LLM Data Training (Bash/PowerShell)
Role Overview
As a Senior Software Engineer specializing in Bash and PowerShell, you will review and audit evaluations of AI-generated scripts performed by data annotators. Your day-to-day responsibilities will include ensuring compliance with strict quality guidelines, validating code functionality, and providing feedback to maintain high annotation standards, thereby significantly impacting the accuracy and reliability of AI training processes.
Perks & Benefits
This role offers the flexibility of remote work with weekly compensation for approved contributions. You'll have personalized hourly rates based on your experience and expertise, providing the potential for career growth in the rapidly evolving field of AI. The company emphasizes a collaborative culture, partnering with leading AI teams and supporting continuous learning.
Full Job Description
10-min AI interview, project starts Jan 29, rare languages = higher placement rates
About the Company
G2i connects subject-matter experts, students, and professionals with flexible, remote AI training opportunities, including 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're hiring a Code Reviewer with deep Bash/PowerShell expertise to review evaluations completed by data annotators assessing AI-generated Bash/PowerShell script 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 Bash/PowerShell scripts.
Assess if the Bash/PowerShell 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 shell scripting, system administration, or DevOps with Bash/PowerShell.
Strong knowledge of Bash/PowerShell syntax, command-line utilities, debugging, edge cases, and testing.
Experience with both Unix/Linux and Windows environments.
Comfortable using code execution environments and debugging 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.
Background in automation, CI/CD pipelines, or infrastructure as code.
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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