Go Engineer
SME Careers · United States
- Hybrid
- Contract
- $75,000 / year
- United States
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Job highlights
- Review and generate Go code for AI training.
- Evaluate AI reasoning and problem-solving quality.
- Assess code correctness and best practices.
- Write high-quality explanations and solutions.
- Improve world's premier AI models remotely.
About the role
Go Engineer AI Data Training
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. Your work will directly help improve the world’s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.
Important Considerations
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.
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.
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 skills/competency
- Go programming
- Backend development
- API design
- Concurrency
- Error handling
- Code review
- AI training data
- LLM evaluation
- Technical writing
- Problem-solving
Skills & topics
- Go Engineer
- AI Data Training
- Remote
- Go programming
- Backend development
- API design
- Concurrency
- Error handling
- Code review
- LLM evaluation
How to get hired
- Tailor your resume: Highlight Go programming experience, AI data training, and code review skills.
- Showcase Go expertise: Emphasize backend services, API design, and idiomatic Go practices.
- Demonstrate AI familiarity: Detail your experience with LLMs and validating AI output.
- Highlight detail orientation: Mention strong English writing and meticulous work style.
Technical preparation
Master Go idioms and best practices.,Practice evaluating code for correctness.,Familiarize with AI coding assistants.,Study backend Go application patterns.
Behavioral questions
Describe a complex Go problem solved.,How do you ensure code readability?,How do you validate AI-generated code?,How do you handle detail-oriented tasks?
Frequently asked questions
- What is the primary focus of the Go Engineer AI Data Training role at SME Careers?
- The Go Engineer AI Data Training role at SME Careers focuses on reviewing and generating Go code, evaluating AI reasoning, and providing expert feedback to improve AI models. This involves assessing code correctness, readability, and the quality of explanations.
- Is this a full-time or part-time position with SME Careers?
- This is an hourly paid, fully remote contract role. While there isn't an immediate project, qualified candidates will be contacted for future opportunities within SME Careers' expert network.
- What are the minimum Go programming experience requirements for this role?
- The minimum requirement is 1-2 years of professional Go programming experience, ideally focused on backend services, APIs, or systems work. A strong understanding of Go idioms and hands-on experience with production Go applications is also necessary.
- What is the importance of LLM or AI coding assistant experience for this role?
- Significant experience using LLMs or AI coding assistants while programming is crucial. Candidates must also demonstrate a disciplined approach to validating the output of these tools, as this is key to assessing AI model performance.
- Does SME Careers require specific Go frameworks or libraries experience?
- Hands-on experience with Go frameworks and libraries such as Gin, gRPC, or Echo in real projects is highly preferred. Familiarity with Go open-source projects, competitive programming, cloud-native development, and performance profiling tools is also beneficial.
- What level of English proficiency is required for the Go Engineer AI Data Training position?
- A minimum C1 English proficiency is required. Excellent English writing skills are essential for producing precise, structured, and pedagogical technical explanations necessary for AI model training.
- What is the educational requirement for this Go Engineer role?
- A minimum Bachelor’s degree in Computer Science or a closely related technical field is required for this Go Engineer AI Data Training position.
- How does SME Careers ensure the quality of AI-generated content?
- SME Careers ensures quality by having Go Engineers like you review and evaluate AI-generated Go code and explanations. This includes assessing correctness, readability, identifying errors, fact-checking, and rating AI responses.