Go Engineer

About the Role: Go Engineer

As an hourly paid, fully remote Go Engineer for AI Data Training at SME Careers, you will play a crucial role in enhancing the quality of AI models. Your responsibilities include reviewing and generating Go code and explanations, evaluating the reasoning quality and problem-solving steps, and providing expert feedback to ensure AI models produce accurate, logical, and clearly explained answers.

You will meticulously assess solutions for correctness, readability, and adherence to backend-style best practices. This involves identifying errors in concurrency, error handling, or conceptual understanding, fact-checking information, and crafting high-quality explanations and model solutions that demonstrate idiomatic Go. A key part of your role will be rating and comparing multiple AI responses based on their correctness and reasoning quality.

This position is with SME Careers, a rapidly expanding AI Data Services company and subsidiary of SuperAnnotate. Your work will directly contribute to improving the world's premier AI models, offering the flexibility of impactful, detail-oriented remote contract work.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts across various topics and generate comprehensive responses to guide AI learning, ensuring models reflect a deep understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to significantly enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Rigorously test AI models for potential inaccuracies or biases, thereby validating their reliability across a wide range of use cases.

Your Profile

To succeed as a Go Engineer with SME Careers, you should possess:

• 1–2+ years of professional Go programming experience, ideally with a focus on backend services, APIs, or systems work.
• A strong understanding of Go idioms, including clear error handling, composition over inheritance, and simple, readable interfaces.
• Hands-on software engineering experience in building and maintaining backend-style Go applications within production environments.
• The ability to effectively evaluate correctness and readability in backend-oriented Go code, encompassing concurrency patterns, error propagation, and API design.
• Significant experience utilizing Large Language Models (LLMs) or AI coding assistants in your programming workflow, coupled with a disciplined approach to validating their output.
• Excellent English writing skills, demonstrated by the capability to produce precise, structured, and pedagogical technical explanations.
• A minimum Bachelor’s degree in Computer Science or a closely related technical field.
• Previous experience with AI data training, large-scale code review, or evaluation of AI-generated technical content is strongly preferred.
• Minimum C1 English proficiency and an extremely detail-oriented working style are required.
• Highly preferred: Hands-on experience with Go frameworks and libraries such as Gin, gRPC, or Echo in real projects.
• Preferred: Merged Pull Requests (PRs) in Go open-source projects, competitive programming experience, cloud-native development exposure, and familiarity with Go performance profiling tools and techniques.

Key skills/competency

• Go Programming
• AI Data Training
• Backend Development
• Code Review
• Error Handling
• Concurrency Patterns
• API Design
• Technical Writing
• Model Evaluation
• LLM Validation