At a Glance
- Tasks: Review and audit AI-generated Rust code evaluations to ensure quality and correctness.
- Company: G2i connects experts with flexible, remote AI training opportunities.
- Benefits: Weekly pay, personalized hourly rates, and remote work flexibility.
- Other info: Dynamic role with opportunities for growth in AI training and evaluation.
- Why this job: Join a cutting-edge team and shape the future of AI with your Rust expertise.
- Qualifications: 5–7+ years in Rust development or code review; strong debugging skills required.
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.
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Senior Software Engineer for Code Reviewing LLM Data Training (Rust) employer: G2i Inc.
Join a leading AI training company in Canada that values innovation and quality, offering a flexible remote work environment tailored to your lifestyle. With a strong emphasis on employee growth, you will have the opportunity to enhance your skills while contributing to cutting-edge projects in AI. Enjoy personalized compensation based on your expertise and performance, making this an ideal place for those seeking meaningful and rewarding employment.
