Role Overview

• Work on advanced AI data training and evaluation projects
• Review AI-generated Rust code and explanations
• Create high-quality solutions and technical reasoning

Key Responsibilities

• Review AI-generated Rust code for:
  • Correctness, safety, and requirement adherence
  • Ownership, borrowing, lifetimes, and logic issues
• Identify bugs, inefficiencies, and unsafe patterns
• Evaluate step-by-step reasoning behind solutions
• Develop expert-level explanations and model answers
• Compare and rank multiple AI-generated outputs
• Fact-check technical accuracy and ensure clarity
• Apply idiomatic Rust best practices
• Contribute to improving AI model reliability and performance
• Create structured prompts and responses for training
• Detect inaccuracies, inconsistencies, and biases

Required Qualifications

• Bachelor’s degree in Computer Science or related field
• 1–2+ years of professional experience in Rust development

Technical Skills

• Strong understanding of:
  • Ownership model, borrowing rules, lifetimes
• Experience in:
  • Backend services, CLI tools, or systems programming
  • Building and maintaining Rust applications
• Knowledge of:
  • Concurrency, performance optimization, safe programming
• Familiarity with:
  • AI coding assistants / large language models

Additional Requirements

• Excellent English writing and communication skills
• Strong analytical and code review abilities
• Detail-oriented and methodical approach to validation

Preferred (Good to Have)

• Experience with:
  • Async Rust
  • Frameworks like Tokio, Actix, Serde
• Open-source contributions
• Competitive programming background
• Experience in:
  • AI data training or annotation
  • Large-scale code review
  • Evaluating AI-generated technical content

What You’ll Do in This Role

• Create structured AI training content (prompts & responses)
• Evaluate and improve AI-generated outputs
• Enhance model accuracy, clarity, and reliability
• Ensure correctness across diverse technical scenarios