Sr. SWE for Code Reviewing LLM Data Training (Bash/PowerShell)

10-min AI interview, project starts Jan 29, rare languages = higher placement rates

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.

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.

• 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.

• 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.

• 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.

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.