Sr. SWE for Code Reviewing LLM Data Training (Rust)

G2i Inc.; Canada; Remote; CAD 83,000 - 152,000; Part time

Job summary

A leading AI training company in Canada is seeking a skilled Code Reviewer with deep expertise in Rust. You will review evaluations of AI-generated Rust code to ensure quality and correctness. The ideal candidate has 5–7+ years of Rust development experience, strong debugging skills, and a good command of English. This role offers flexible, remote work and personalized hourly rates based on your experience and performance.

Qualifications

• 5–7+ years of experience in Rust development, QA, or code review.
• Strong knowledge of Rust syntax and ownership/borrowing system.
• Experience with structured QA or annotation workflows.
• Excellent written communication and documentation skills.
• Experience with structured QA or annotation workflows.
• English proficiency at B2 or higher.

Responsibilities

• Review and audit annotator evaluations of AI-generated Rust code.
• Validate code snippets using proof-of-work methodology.
• Provide constructive feedback to maintain high annotation standards.
• 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.

Skills

Rust development

Code review

QA processes

Debugging

English proficiency

Cargo

Documentation

English proficiency

Tools

Cargo

Testing frameworks

Job description

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 Rust expertise to review evaluations completed by data annotators assessing AI-generated Rust 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 Rust code.
• Assess if the Rust 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 Rust development, QA, or code review.
• Strong knowledge of Rust syntax, ownership/borrowing system, debugging, edge cases, and testing.
• Experience with Cargo, testing frameworks, and the Rust 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 systems programming or performance-critical applications.

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.