Go Engineer Work Snapshot

Job Type: Contract Location: Remote Compensation: Up to $30 per hour Commitment: Flexible / project-based (hourly)

Roles & Responsibilities

Review and evaluate AI-generated Go code and technical explanations for correctness, readability, and reasoning quality Identify issues related to concurrency, error handling, API design, backend architecture, and Go engineering best practices Write high-quality reference implementations, prompts, and step-by-step explanations demonstrating idiomatic Go development Compare and rank AI-generated responses based on correctness, maintainability, implementation quality, and contextual relevance Fact-check technical implementations and validate backend development, microservices, g RPC, and cloud-native engineering concepts Create AI training content focused on Go programming, concurrency patterns, profiling, backend services, and distributed system workflows Test AI systems for inaccuracies, inconsistencies, and reasoning gaps in Go engineering and technical problem-solving tasks Support AI model improvement through structured code reviews, technical evaluations, documentation, and detailed engineering feedback

Requirements

Education: Bachelor s degree in Computer Science or a closely related technical field 1 2+ years of professional Go programming experience with strong expertise in backend services, APIs, or systems-focused development Strong understanding of Go idioms including concurrency patterns, clear error handling, composition-based design, readable interfaces, and API development best practices Hands-on experience building and maintaining production-grade backend applications using Go in cloud-native or distributed environments Experience evaluating backend-oriented Go code for correctness, readability, concurrency handling, error propagation, and system design quality Strong English communication skills (C1 or above) with the ability to write structured, precise, and technically detailed explanations Familiarity with Go frameworks and tools such as Gin, Echo, g RPC, profiling tools, CI/CD workflows, and modern backend engineering practices preferred Prior experience with AI data training, large-scale code review, evaluation of AI-generated technical content, open-source contributions, or competitive programming considered a plus

Skills: Research