AI Trainer - Coding Expert (All Languages)

Công việc được cập nhật 3 tháng
Nhà tuyển dụng hoạt động 22 ngày trước

Mô tả công việc

[About the Role]
We are seeking experienced software engineers to help train and evaluate AI systems by reviewing code, generating programming tasks, and providing expert-level feedback across multiple languages and domains.

This role is ideal for engineers who enjoy problem-solving, analyzing code quality, and teaching or explaining complex technical concepts. You will help improve the reasoning, accuracy, and reliability of AI models used by millions.


[What You’ll Do]
As a Coding Expert – AI Trainer, you will:
• Review AI-generated code for correctness, efficiency, style, and security.
• Evaluate solutions written in various languages (e.g., Python, JavaScript, Java, C++, Go, Rust, Ruby, SQL).
• Write high-quality reference solutions and step-by-step explanations to guide AI model improvement.
• Create coding prompts, debugging scenarios, and algorithmic challenges of varying difficulty levels.
• Identify logic errors, edge cases, and performance bottlenecks in model outputs.
• Provide clean, readable, well-structured code aligned with real-world engineering best practices.
• Follow detailed evaluation guidelines and deliver consistent, structured feedback.
• Collaborate with researchers and engineers to refine rubrics, datasets, and evaluation workflows.


[Requirements]
• Bachelor’s, Master’s, or equivalent experience in Computer Science, Software Engineering, or related field.
• Strong professional programming experience (2+ years) in at least one major language (Python, JavaScript/TypeScript, Java, C++, Go, Rust, Ruby, SQL, etc.).
• Ability to analyze codebases, debug complex problems, and evaluate solutions for both correctness and quality.
• Familiarity with Git workflows, testing strategies, code reviews, and modern engineering practices.
• Strong attention to detail and ability to follow structured evaluation criteria.

• Native or professional proficiency in Traditional Chinese (TW)
• Excellent written English—able to explain concepts clearly and precisely.

Yêu cầu

[Requirements]
• Bachelor’s, Master’s, or equivalent experience in Computer Science, Software Engineering, or related field.
• Strong professional programming experience (2+ years) in at least one major language (Python, JavaScript/TypeScript, Java, C++, Go, Rust, Ruby, SQL, etc.).
• Ability to analyze codebases, debug complex problems, and evaluate solutions for both correctness and quality.
• Familiarity with Git workflows, testing strategies, code reviews, and modern engineering practices.
• Strong attention to detail and ability to follow structured evaluation criteria.

• Native or professional proficiency in Traditional Chinese (TW)
• Excellent written English—able to explain concepts clearly and precisely.

[Preferred Requirments]

• Experience working across multiple languages or full-stack environments.

• Familiarity with LLM-powered development tools, code generation models, or RLHF/SFT projects.

• Experience designing technical assessments, problem sets, or coding interview questions.

• Experience with Docker, CI/CD pipelines, or cloud-based development environments.

• Demonstrated contributions to open-source projects or large codebases.

Interview process

Once we review your CV and determine that you may be a good fit for the role, we will contact you by email and provide further details about the interview process.

100
Yêu cầu 2 năm kinh nghiệm
920 TWD / hour
Làm việc từ xa 100%
Liên kết lời mời cá nhân
Đây là liên kết giới thiệu cá nhân của bạn cho lời mời làm việc. Bạn sẽ nhận được thông báo qua email khi ai đó nộp đơn cho vị trí thông qua liên kết công việc của bạn.
Share this job
Logo of EBIT Co., LTD.
EBIT Co., LTD
Trí tuệ nhân tạo/ Máy học
1 - 10 people

Về chúng tôi

EBIT Co., Ltd. is a global talent supply agent founded in 2019, with a mission to drive future innovation through AI technology development. EBIT gathers top talent across Asia and connects them to various projects, primarily focusing on data labeling tasks that contribute to the advancement of AI models.