Go Engineer

About the Role

As an hourly paid, fully remote Go Engineer for AI Data Training, you will review AI-generated Go code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, readability, and adherence to backend-style best practices; identify errors in concurrency, error handling, or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Go; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs.

Additional Information

Important
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Responsibilities

• Develop AI training content: create detailed prompts and responses to guide AI learning across various topics.
• Evaluate and rank AI responses to improve model accuracy, fluency, and contextual relevance.
• Review and/or produce idiomatic Go code and explanations, ensuring correctness, readability, and adherence to backend best practices.
• Identify and explain errors in concurrency patterns, error handling, API design, or conceptual understanding.
• Fact-check technical information and validate model outputs for potential inaccuracies or biases.
• Write precise, pedagogical technical explanations and model solutions demonstrating idiomatic Go.

Qualifications

• 1–2+ years of professional Go programming experience, ideally focused on backend services, APIs, or systems work.
• Minimum Bachelor’s degree in Computer Science or a closely related technical field.
• Strong understanding of Go idioms, including clear error handling, composition over inheritance, and simple, readable interfaces.
• Hands-on experience building and maintaining backend-style Go applications in production environments.
• Ability to evaluate correctness and readability in backend-oriented Go code, including concurrency patterns, error propagation, and API design.
• Significant experience using LLMs or AI coding assistants while programming, with a disciplined approach to validating their output.
• Excellent English writing skills; Minimum C1 English proficiency and an extremely detail-oriented working style are required.
• Previous experience with AI data training, code review at scale, or evaluation of AI-generated technical content is strongly preferred.
• Highly preferred: hands-on experience with Go frameworks and libraries such as Gin, gRPC, or Echo in real projects.
• Preferred: merged PRs in Go open-source projects, competitive programming experience, cloud-native development exposure, and familiarity with Go performance profiling tools and techniques.

Skills

• Idiomatic Go programming, concurrency, and error handling.
• Backend APIs and production service design.
• Experience with LLMs / AI coding assistants and AI training workflows.
• Ability to write clear, structured technical explanations and model solutions.