Remote Go Engineer - AI Data Training

hackajob • United State
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AI Summary

As an hourly paid, fully remote Go Engineer for AI Data Training, you will review and generate Go code, evaluate AI reasoning, and provide expert feedback. Your work will directly improve AI models by ensuring accuracy, logic, and clear explanations in Go. Requires 1-2+ years of Go experience, strong Go idioms understanding, and experience with LLMs.

Key Highlights
Hourly paid, fully remote contract work
Review and generate Go code for AI data training
Evaluate AI reasoning and provide expert feedback to improve AI models
Key Responsibilities
Review AI-generated Go code and explanations or generate your own
Evaluate the reasoning quality and step-by-step problem-solving
Provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained
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
Rate and compare multiple AI responses based on correctness and reasoning quality
Create detailed prompts in various topics and responses to guide AI learning
Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance
Test AI models for potential inaccuracies or biases, validating their reliability across use cases
Technical Skills Required
Go
Benefits & Perks
Hourly paid
Fully remote
Nice to Have
Hands-on experience with Go frameworks and libraries such as Gin, gRPC, or Echo in real projects
Merged PRs in Go open-source projects
Competitive programming experience
Cloud-native development exposure
Familiarity with Go performance profiling tools and techniques

Job Description


hackajob is collaborating with SuperAnnotate to connect them with exceptional professionals for this role.

Role Description

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, and your work will directly help improve the world's premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.

Your Profile

  • 1-2+ years of professional Go programming experience, ideally focused on backend services, APIs, or systems work
  • Strong understanding of Go idioms, including clear error handling, composition over inheritance, and simple, readable interfaces
  • Hands-on software engineering 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, combined with a disciplined approach to validating their output
  • Excellent English writing skills, capable of producing precise, structured, and pedagogical technical explanations
  • Minimum Bachelor's degree in Computer Science or a closely related technical field
  • Previous experience with AI data training, code review at scale, 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 PRs in Go open-source projects, competitive programming experience, cloud-native development exposure, and familiarity with Go performance profiling tools and techniques

Key Responsibilities

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

Why Work with SME Careers?

Want to be a part of a forward-thinking team and help us train AI to communicate more effectively? At SME Careers, we connect skilled professionals with opportunities in the rapidly evolving AI industry.

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