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Software Engineer for Training AI Data - Python, Korean Language

Accepted Locations and Languages

We accept native or highly fluent Korean speakers. For the complete list of accepted locations, click here. This work is 100% remote.

Loom Video

Our Founder/CEO, Gabe Greenberg, created a more in-depth Loom video that we highly recommend you watch! Check it out here: https://www.loom.com/share/5a8972c7fbbf46aaa3f389b2b6391c40

Overview

You’ll join an expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We seek software engineers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open!

What Will I Be Doing?

  • Evaluating the quality of AI-generated code, including human-readable summaries of your rationale

  • Solve coding problems, writing functional and efficient code

  • Writing robust test cases to confirm code works efficiently and effectively

  • We asked the technical project manager to go into even more detail and this is how he answered: It is solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and there's a ton of variety in the projects. We have everything from "Which piece of Python code is better?" to "Make a full mobile application using this chatbot, and improve the chatbot's responses afterward to make it faster."

Pay Rates

  • South Korea: $27.99/hr

  • For other countries, see this list.

  • Expectations are 15+ hours per week; however, there is no upper limit. We have engineers working 20-40 hours per week and some working 40+ hours per week. You can work as much as you want to. You'll get paid weekly per hour of work done on the platform.

Contract Length

  • Long term, there is no end date. They expect to have work for the next 2 years.

  • You can end the contract at any time. We hope you will commit to 12 months of work, but if you start and it's not a fit for you, we totally understand.  

Flexible Schedules

  • Developers can set their own hours—ideal candidates will be interested in spending 40 hours a week. They will be with teams, so strong performers will adapt to the urgency of projects and stay engaged, but they will also be incredibly flexible on working hours. 

  • You can take a 3-hour lunch, no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises.  

Interview Process

  1. Apply using this Ashby form.

  2. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it.

  3. You'll receive credentials to the RLHF platform. We'll then set up a group call to answer any further questions about onboarding with the company.

  4. You'll perform a simulated production-level task (RLHF task) on the platform. This will be your final interview, which will ultimately determine your employment and leveling. Successful completion of this process provides you with an opportunity to work on projects as they become available.

Tech Stack Priorities

  • The current priority for this team is engineers with either a Data Science background who know Python well or software engineers who are well versed in Python.

Required Qualifications:

  • 3+ years of experience in a software engineering/software development role.

  • Complete fluency in the English language.

  • Ability to articulate complex scientific concepts clearly and engagingly.

  • Excellent attention to detail and ability to maintain consistency in writing.

  • Solid understanding of grammar, punctuation, and style guidelines.

  • Proficiency with Python

Nice To Haves:

  • Bachelor's or Master’s degree in Computer Science

  • Proficiency in working with one or more of the following: Java, JavaScript, TypeScript, C++. SQL, Swift, Ruby, Rust, Go, NET, Matlab, PHP, HTML, DART, R, Apex, and Shell, C, C#

  • Recognized accomplishments or contributions to the coding community or in projects.

  • Proven analytical skills with an ability to approach problems creatively.

  • Adept communication skills, especially when understanding and discussing project requirements.

  • A commitment to continuous learning and staying updated with the latest coding advancements and best practices.

  • Enthusiasm for teaching AI models and experience with technical writing!

Average salary estimate

$87000 / YEARLY (est.)
min
max
$58000K
$116000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Software Engineer for Training AI Data - Python, Korean Language, G2i Inc.

Are you a skilled Software Engineer looking to dive into the innovative field of AI? Join our dynamic team at a leading AI company dedicated to creating high-quality training data for advanced AI models. As a Software Engineer for Training AI Data, particularly in Python and fluent in Korean, you will embark on an exciting journey to enhance how generative AI models write code. You'll have the autonomy to work remotely, engaging in a variety of coding challenges that will not only sharpen your skills but also contribute meaningfully to the future of artificial intelligence. No prior AI experience is required, just a passion for problem-solving and a desire to work on intricate software projects. Your responsibilities will include evaluating AI-generated code, solving coding dilemmas, and crafting thorough test cases to ensure optimum functionality. Expect to collaborate with a team of experts, all while managing your flexible schedule—work 15 to 40 hours a week or as much as you desire! With an open-ended contract and a commitment to long-term projects, you’ll find ample opportunities for growth and learning. Plus, competitive pay rates and the chance to contribute to cutting-edge AI technology await you! If this sounds like the adventure you're ready to take on, we can’t wait to meet you and explore how you can be part of our journey!

Frequently Asked Questions (FAQs) for Software Engineer for Training AI Data - Python, Korean Language Role at G2i Inc.
What are the responsibilities of a Software Engineer for Training AI Data at this company?

As a Software Engineer for Training AI Data at our company, you will evaluate the quality of AI-generated code, solve a variety of coding problems, and write robust test cases to ensure that the code runs efficiently. Additionally, you will be involved in creating documentation and instructions that will guide other team members and improve the learning process for AI models.

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What qualifications do I need to apply for the Software Engineer for Training AI Data role?

To be a fit for the Software Engineer for Training AI Data position, you should have a minimum of three years of experience in software engineering or a related field. Proficiency in Python is essential, along with complete fluency in English. An ability to articulate scientific concepts clearly and a keen attention to detail are also critical. Although not mandatory, a Bachelor's or Master’s degree in Computer Science is advantageous.

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How does the flexible work schedule work for the Software Engineer for Training AI Data role?

The Software Engineer for Training AI Data position offers a highly flexible work schedule. You have the freedom to set your hours, allowing you to work 15 to 40 hours per week. This flexibility supports your work-life balance and accommodates your personal preferences. Whether you prefer working late nights or during the day, it's all about what fits you best!

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What type of projects will I work on as a Software Engineer for Training AI Data?

In this role, you'll engage with diverse projects such as evaluating AI-generated code, coding challenges, and creating mobile applications to further enhance AI chatbots. Projects will vary in complexity and scope, providing you with a rich experience and the ability to grow your expertise in software engineering and AI.

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Is there room for career advancement for Software Engineers in this company?

Yes, there is significant potential for career advancement as a Software Engineer for Training AI Data. The role offers opportunities to work on long-term projects and develop new skills in the evolving field of AI. With continuous learning and contributions to high-profile AI projects, you can position yourself for promotional opportunities within the company.

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Common Interview Questions for Software Engineer for Training AI Data - Python, Korean Language
Can you explain your experience with Python in relation to AI programming?

When responding to this question, outline specific projects where you've utilized Python, especially in AI or data analysis. Discuss any libraries or frameworks you are familiar with, and highlight how your coding skills can contribute to AI training data initiatives or model evaluation.

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How do you approach evaluating the quality of AI-generated code?

In answering this question, emphasize your analytical skills. Discuss methodologies you would use to assess code, including functionality, efficiency, readability, and potential errors. Providing examples of previous experiences where you've evaluated code can strengthen your response.

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Describe a challenging coding problem you faced and how you solved it.

Share a specific example that showcases your problem-solving abilities. Detail the problem, the steps taken to tackle it, and the final outcome. This not only demonstrates your technical skills but also your ability to handle challenges effectively.

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How do you ensure your code is both functional and efficient?

Discuss strategies you utilize for optimizing code, such as writing clear functions, using appropriate data structures, and thorough testing. Mention any tools or practices you follow for debugging and testing to ensure that your code performs well.

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What’s your experience with writing test cases for your code?

Explain your approach to writing test cases, emphasizing the importance of ensuring that your code behaves as expected. Highlight tools you’ve used for automated testing and any frameworks that help enhance code reliability.

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How do you stay up-to-date with the latest advancements in AI and programming?

Discuss your commitment to continuous learning and professional development. Mention specific resources like online courses, webinars, coding communities, or blogs you actively follow to stay informed about the latest trends and technologies in AI and software engineering.

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What role do you believe documentation plays in software development?

Highlight the significance of documentation in ensuring clarity and maintainability of code. Clarifying coding intent helps teams collaborate better and aids in onboarding new team members. Share examples of how good documentation has benefited your past projects.

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How do you handle tight deadlines while working on a project?

Share your strategies for time management and prioritization. Discuss how you communicate with teammates and stakeholders to align on expectations and adjust workflows to meet deadlines while maintaining code quality.

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Why do you want to work on AI-related projects?

Express your passion for artificial intelligence and how you see it impacting the world. Discuss your interest in contributing to cutting-edge AI technology and your enthusiasm for learning and growing in this innovative field.

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How do you manage feedback and critique of your coding work?

Discuss your openness to feedback and how it contributes to personal and professional growth. Explain how you implement constructive criticism into your work and how that can lead to improved coding practices across projects.

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DATE POSTED
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