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Software Engineer for Training AI Data - Python, Asian Languages

Accepted Locations and Languages

We accept native speakers of various Asian languages and English dialects. 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

  • For compensation in all accepted 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!

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

Are you a Software Engineer passionate about AI? Join our exciting team at an innovative company where you can make a significant impact in the world of artificial intelligence! As a Software Engineer for Training AI Data, specializing in Python and Asian languages, your role will be all about creating the essential training data that fuels the most advanced AI models. You'll be working 100% remotely and engaging with an expert annotation team, diving into interesting projects that challenge your coding skills. With over 200 positions available, this is a fantastic opportunity to potentially launch your career in AI, even if you have no previous experience in the field! Your day-to-day tasks will include evaluating AI-generated code, solving complex coding problems, and crafting robust test cases. You'll have the freedom to structure your schedule as you wish—work 15 hours a week or dive into 40+ hours if you’re feeling ambitious. Plus, you can enjoy the flexibility to take breaks and manage your time effectively. Our technical project manager highlights the variety of projects you’ll encounter, from analyzing Python code to developing full mobile applications. With long-term contracts, competitive pay, and a supportive environment that encourages both work-life balance and professional growth, this position is perfect for any tech enthusiast looking to push the boundaries of AI. If you’ve got 3 or more years of experience in software engineering and a love for coding, we want to hear from you!

Frequently Asked Questions (FAQs) for Software Engineer for Training AI Data - Python, Asian Languages Role at G2i Inc.
What kind of responsibilities does a Software Engineer for Training AI Data at this company have?

As a Software Engineer for Training AI Data, your responsibilities include evaluating the quality of AI-generated code, writing efficient solutions to coding problems, and developing robust test cases. You’ll work closely with AI models, helping them write better code while providing insights into code quality and functionality. This role also involves engaging with a variety of unique projects that test your creativity and coding skills.

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

To qualify for the Software Engineer for Training AI Data role, candidates should have at least 3 years of experience in software engineering or development. Proficiency in Python is essential, along with the ability to communicate complex concepts clearly. While not mandatory, experience in other programming languages such as Java or C++ is a plus, as well as a Bachelor's or Master’s degree in Computer Science.

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Is prior AI experience necessary for the Software Engineer for Training AI Data job?

No prior AI experience is required to apply for the Software Engineer for Training AI Data position. The company welcomes applicants driven by a passion for technology and coding, willing to learn and contribute to the field of artificial intelligence. Training and support will be provided to help you succeed in the role.

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What is the work schedule like for the Software Engineer for Training AI Data position?

The work schedule for the Software Engineer for Training AI Data role is highly flexible. Expect to commit to at least 15 hours per week, but you can work as much as you want, with some engineers going up to 40+ hours per week. You’ll be able to set your own hours, allowing for a healthy balance between work and personal life.

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

The interview process includes an application via an Ashby form, followed by an async code review, and a simulated production-level task. Candidates can expect to receive platform credentials and take part in a group call for onboarding questions. This structured process allows both the candidate and the company to gauge fit effectively.

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Common Interview Questions for Software Engineer for Training AI Data - Python, Asian Languages
Can you explain your experience with Python as it pertains to the Software Engineer role?

Discuss specific projects or tasks where you efficiently used Python, elaborating on challenges you overcame and successes achieved. Highlight any frameworks or libraries you're comfortable with and how you've applied them to solve real-world problems.

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

Outline your method for assessing code quality, including aspects like readability, efficiency, and conformance to coding standards. Mention any tools or techniques you use, and your past experiences with similar evaluations.

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

Select a specific example that showcases your problem-solving skills. Walk through the steps you took, the thought process behind your decisions, and the outcome. This will demonstrate your technical competency and resilience in overcoming challenges.

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What strategies do you use to write comprehensive test cases?

Articulate how you ensure your test cases cover edge cases and typical use scenarios. Emphasize your focus on functional accuracy and maintenance of code quality over time, incorporating automated testing where applicable.

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How do you stay updated with the latest advancements in software development and AI?

Discuss your methods for continuous learning, such as online courses, following industry leaders on social media, participating in coding communities, or attending workshops. This will show your commitment to professional growth and your proactive approach to learning.

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Can you illustrate a scenario where you had to collaborate with a team on a project?

Narrate a specific project experience where you worked collaboratively. Focus on your communication skills, how you handled differing opinions, and how the teamwork contributed to the overall success of the project.

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What do you understand by generative AI, and how does it apply to this role?

Define generative AI in the context of training data for language models, emphasizing its significance in AI development. Discuss any experience you have or insights into how this technology evolves and its challenges.

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How would you articulate complex technical concepts to non-technical stakeholders?

Illustrate your ability to distill complex ideas into digestible information. Provide examples of how you’ve effectively communicated with non-technical teams or clients, employing analogies or visual aids as necessary to enhance understanding.

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Describe a project where you had to adapt quickly to changing requirements.

Provide an example that showcases your adaptability and quick problem-solving skills. Emphasize your approach to understanding new parameters, reorganizing your workflow, and ensuring that the project goals aligned with the new expectations.

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What motivates you to work in the field of AI and software development?

Express your passion for technology, problem-solving, and innovation. Discuss specific aspects of AI that excite you, such as its potential to solve complex societal issues, and how working at this company aligns with your career aspirations.

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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
December 19, 2024

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