Role Overview

• Work on advanced AI data training and evaluation initiatives
• Review AI-generated Go code and explanations
• Create high-quality Go-based solutions with clear reasoning

Key Responsibilities

• Review AI-generated Go code for:
  • Correctness, readability, and backend best practices
• Identify issues in:
  • Concurrency, error handling, and system design
• Evaluate:
  • API design, code structure, and readability
• Fact-check technical accuracy
• Develop idiomatic Go explanations and model solutions
• Compare and rank multiple AI-generated responses
• Improve AI model performance, clarity, and reliability
• 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 Go development

Technical Skills

• Strong understanding of:
  • Go idioms and best practices
  • Error handling, composition, and interface design
• Experience in:
  • Backend services, APIs, or systems development
  • Production-level Go applications
• Ability to evaluate:
  • Concurrency patterns and API design
  • Code readability and maintainability

Additional Requirements

• Experience using:
  • AI coding tools or large language models
• Excellent English writing and communication skills
• Strong analytical and validation mindset

Preferred (Good to Have)

• Experience with:
  • Gin, gRPC, Echo frameworks
• Cloud-native development exposure
• Performance profiling techniques
• Open-source contributions
• Experience in:
  • AI data training or large-scale code review

What You’ll Do in This Role

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