Sr. SWE for Code Reviewing LLM Data Training (Swift)
Role Overview
The Sr. SWE for Code Reviewing LLM Data Training role involves auditing and reviewing evaluations of AI-generated Swift code to ensure quality, correctness, and adherence to guidelines. This senior-level position requires deep expertise in Swift and aims to maintain high standards in code evaluations conducted by data annotators, impacting the reliability of AI training processes.
Perks & Benefits
This position offers the flexibility of remote work, with compensation tailored to individual experience and expertise. The role is project-based, providing opportunities for career growth and engagement with cutting-edge AI technologies. Contributions are compensated weekly, ensuring financial reliability, and the company culture emphasizes collaboration and quality.
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 Swift expertise to review evaluations completed by data annotators assessing AI-generated Swift code 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 Swift code.
Assess if the Swift 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 Swift development, QA, or code review.
Strong knowledge of Swift syntax, memory management, debugging, edge cases, and testing.
Experience with Xcode, testing frameworks, and the Swift/iOS ecosystem.
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 iOS, macOS, or Apple platform development.
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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