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Software Engineer for Training AI Data in Asian Languages

Accepted Locations

We accept applicants from the APAC region. We’re primarily interested in engaging native and highly fluent speakers of the Thai, Malay, Hindi, Indian English, and Japanese languages. 

For the complete list of accepted locations and pay rates, 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

Compensation rates vary based on location and experience. To view the complete list of locations and their values, click here. 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

$85000 / YEARLY (est.)
min
max
$50000K
$120000K

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 in Asian Languages, G2i Inc.

Join our dynamic team at an industry leader in AI development as a Software Engineer for Training AI Data in Asian Languages! We’re looking for passionate candidates who are native or highly fluent speakers of Thai, Malay, Hindi, Indian English, or Japanese. This remote opportunity means you can work from anywhere in the APAC region while helping shape the future of AI. As a Software Engineer, you'll engage with the latest AI technologies to develop training data that powers cutting-edge language models. Even if you don’t have prior experience with AI, you’ll be trained and guided through the process! You’ll tackle a variety of projects—think of it as solving interesting coding challenges and providing feedback for AI-generated code to help improve its accuracy. With flexible schedules and long-term work opportunities, you can choose how much you’d like to work, be it 15 hours or more per week. This is a fantastic chance to make a significant impact while enjoying the freedom of working from anywhere! If you thrive in a fast-paced environment and have a knack for communication, we want to hear from you. You’ll play an essential role in enhancing how AI interprets and generates code, so bring your expertise in Python and your attention to detail to the table! We’re excited to welcome you to our team and embark on this innovative journey together.

Frequently Asked Questions (FAQs) for Software Engineer for Training AI Data in Asian Languages Role at G2i Inc.
What are the responsibilities of a Software Engineer for Training AI Data at our company?

As a Software Engineer for Training AI Data, your primary responsibilities will include evaluating and improving AI-generated code, solving coding challenges, and writing efficient code. You'll create comprehensive test cases to ensure code quality and provide insights to improve AI performance. Additionally, you’ll collaborate with diverse teams and contribute to various projects within the company.

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

To qualify for the Software Engineer for Training AI Data role, you should have at least 3 years of experience in software engineering, complete fluency in English, and strong capabilities in Python programming. Ideal candidates will also possess excellent communication skills to convey complex concepts clearly and accurately. While a degree in Computer Science is a plus, we value your practical experience just as much.

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How flexible is the work schedule for the Software Engineer for Training AI Data position?

The work schedule for the Software Engineer for Training AI Data role is highly flexible. You’ll have the freedom to set your own hours and work as much as you want, whether that’s 15 hours a week or more. The company supports a work-life balance, allowing you to design your day around personal obligations and commitments.

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Is previous AI experience necessary for the Software Engineer for Training AI Data role?

No prior AI experience is necessary to apply for the Software Engineer for Training AI Data position. The company is willing to provide training and resources to help new hires understand their responsibilities and get accustomed to the specific AI frameworks being used. Enthusiasm and a willingness to learn are what count the most!

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What can I expect from the interview process for the Software Engineer for Training AI Data position?

The interview process for the Software Engineer for Training AI Data role includes an initial application review, followed by an asynchronous code review to evaluate your skills. Once you've completed the code review, you'll participate in a simulated production-level task, which serves as your final interview. This structured process helps ensure that you are a great fit for both the company and the role.

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Common Interview Questions for Software Engineer for Training AI Data in Asian Languages
What experience do you have with Python programming languages as a Software Engineer?

When answering this question, highlight your previous roles involving Python development. Be specific about the projects you worked on, challenges you faced, and how you solved them using Python. Share examples of any libraries or frameworks you've used and the impact your work had on your team or organization.

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Can you describe a challenging coding problem you solved and how you approached it?

Use this question to showcase your problem-solving skills. Choose a specific coding challenge, describe the context, and explain your thought process. Include the steps you took to troubleshoot, the solutions you considered, and the final outcome. This demonstrates your analytical thinking and ability to handle difficult tasks.

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How do you ensure the quality of your code when working on AI projects?

Discuss your methods for quality assurance, such as writing unit tests, code reviews, and utilizing version control systems. Emphasize any tools or techniques you employ to maintain high-quality standards when developing features or fixing bugs, and how these practices contribute to the overall AI model performance.

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What motivates you to work in AI development?

Be genuine in your response. Talk about your interest in technology, data science, and machine learning. Discuss any personal projects related to AI you've undertaken, or share how you see AI impacting society and your desire to contribute to its positive development.

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How do you approach continuous learning in software engineering?

Convey your commitment to ongoing education by discussing online courses, technical reading, attending workshops, or participating in coding communities. Mention specific technologies or best practices you are currently learning and how this knowledge enhances your work as a Software Engineer for Training AI Data.

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How would you handle receiving feedback on your code from a peer?

Explain that you view feedback as an essential part of growth and collaboration. Emphasize your openness to constructive criticism and your commitment to improving your work. Share an example of a time you received feedback that positively influenced your coding style or practices.

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What strategies do you use to collaborate with remote teams effectively?

Discuss your communication skills, tools you use for collaboration (like Slack, Zoom, or GitHub), and your approach to keeping everyone aligned on project goals. Emphasize your ability to remain engaged despite geographical differences and ensure clarity in your contributions.

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Can you explain a time when you had to adapt your coding style based on project requirements?

Provide a specific example where you adjusted your coding techniques or methodology to align with project specifications. Talk about what influenced these adjustments—whether it was an API requirement, user feedback, or performance considerations—and the success of your adaptation.

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Describe a project where you had to work under a tight deadline.

Clearly outline a specific project that had time constraints. Discuss your prioritization strategies, time management techniques, how you remained focused under pressure, and ultimately, how you delivered results. This shows your ability to work effectively in fast-paced environments.

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What do you consider when writing documentation for your code?

Share your understanding of the importance of documentation for maintainability and collaboration. Explain how you ensure clarity, accuracy, and usefulness in your documentation. Discuss the formats you might use and how you involve others to keep it up to date.

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Based in Delray Beach, FL, G2i is a hiring platform run by engineers. The company offers services to that match companies and developers with pre-vetted React, React Native, GraphQL, and native iOS/Android focused engineers.

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DATE POSTED
January 9, 2025

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