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Software Engineer for Training AI Data - Python, Hebrew

Accepted Locations and Languages

We accept native or highly fluent Hebrew 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

  • Israel: $24.60/hr

  • For the complete list of accepted locations and compensation, 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

$51168 / YEARLY (est.)
min
max
$51168K
$51168K

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, Hebrew, G2i Inc.

If you're a Software Engineer with a flair for Python and a passion for training AI models, then this opportunity with our dynamic company is just for you! Join us in a fully remote position that offers the chance to work on groundbreaking AI technology. As a Software Engineer for Training AI Data, you'll collaborate with an expert annotation team to create training data for some of the most advanced AI models out there. You won’t need prior AI experience; what's important is your software engineering background. With over 3 years of experience, you’ll be diving into a variety of projects that challenge you to evaluate code quality, develop efficient solutions, and write robust test cases. Imagine working on tasks like comparing snippets of Python code or crafting full mobile applications while collaborating with fellow engineers. Plus, with flexible work hours and the option to work 40+ hours a week, you can shape your schedule to fit your lifestyle. Our pay rate starts at $24.60/hr for those in Israel, and you can enjoy the freedom of a long-term contract that gives you the flexibility to work as much or as little as you want. Think of this position as not just a job, but an exciting journey into the world of AI with room to grow and learn every step of the way!

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

As a Software Engineer for Training AI Data at our company, your primary responsibilities will include evaluating the quality of AI-generated code, solving various coding challenges, and writing efficient test cases to ensure code functionality. You'll be engaging in diverse projects that involve working closely with advanced AI models, helping them improve code writing capabilities. This role focuses on creating high-quality training data and collaborating with an experienced team to advance the field of generative AI.

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What qualifications are required for the Software Engineer for Training AI Data position?

To be considered for the Software Engineer for Training AI Data position, candidates need at least 3 years of experience in software engineering, proven proficiency in Python, and complete fluency in English. It's essential to be articulate with complex concepts and demonstrate attention to detail in code development. While a Bachelor’s or Master’s degree in Computer Science is a plus, it's the hands-on experience and your coding skills that will truly set you apart.

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What is the expected workload for the Software Engineer for Training AI Data role?

The Software Engineer for Training AI Data role offers a flexible workload, with expectations to commit to at least 15 hours per week. However, many of our engineers find themselves working 20-40 hours or more per week, based on their schedule and project demands. You can easily adapt your hours as it is a fully remote role, allowing you to find the perfect work-life balance while diving into exciting AI projects.

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

No previous AI experience is necessary for the Software Engineer for Training AI Data position. We are looking for talented engineers who are ready to learn and dive into the field of AI and generative models. Your solid software engineering skills, particularly in Python, are what will help you succeed in this role as you engage with the training of advanced AI systems.

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What is the interview process like for the Software Engineer for Training AI Data role?

The interview process for the Software Engineer for Training AI Data role is designed to assess your fit and capabilities. It begins with an application, followed by a 35-minute asynchronous RLHF code review. If you pass, you will receive credentials for the RLHF platform and participate in a group call for onboarding questions. The final step involves completing a simulated production-level task that will showcase your skills, ultimately determining your eligibility for this exciting position.

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Common Interview Questions for Software Engineer for Training AI Data - Python, Hebrew
Can you describe your experience with Python as it relates to software engineering?

Share specific projects where you've extensively utilized Python, emphasizing problem-solving scenarios. Discuss your proficiency with libraries and frameworks you have worked with, and how these experiences have prepared you for the role of Software Engineer for Training AI Data.

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How do you approach coding challenges, especially when working with AI models?

Discuss your problem-solving strategy, highlighting how you break down complex challenges. Provide examples of coding challenges you have encountered and how your solutions contributed to project success, particularly in the context of training AI systems.

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What strategies do you use to ensure the quality of your code?

Describe your code review process, including testing methodologies and how you leverage feedback from peers. Mention any tools you utilize for code quality checks and how these ensure that the code meets project standards.

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How would you explain a complex coding concept to a non-technical team member?

Demonstrate your communication skills by outlining a clear, engaging approach to simplifying complex concepts. Use analogies or simple terms to convey your message and highlight your experience in making technical topics accessible to various audiences.

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What is your experience with testing code, and why is it important?

Elaborate on your approach to writing test cases and the importance of testing in software development. Discuss your experience with different types of testing such as unit, integration, and user acceptance tests, and how they ensure code reliability.

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Can you give an example of a challenging coding problem you solved in the past?

Share a memorable coding challenge, explaining the problem, your thought process, and the eventual solution. Highlight how your analytical skills came into play and the positive outcomes that arose from your resolution.

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What interests you most about working in AI and training models?

Discuss your passion for AI and what excites you about creating training data for models. Mention any specific technologies or projects that have sparked your interest and how you see this role helping you develop in the field.

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How do you prioritize tasks when you have multiple projects to handle?

Explain your time management strategies, including tools or methodologies you use to prioritize work. Share an example of a time when you juggled multiple projects and how you ensured timely completion.

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What steps do you take to stay updated with the latest developments in coding and AI?

Emphasize your commitment to continuous learning through attending workshops, online courses, following industry leaders, or participating in coding communities. Share specific examples of learning resources that have benefited your growth.

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Why do you think attention to detail is crucial in software engineering?

Discuss how attention to detail impacts code quality, performance, and user experience. Provide examples of how overlooking small details led to significant issues, reinforcing why diligence in coding is essential.

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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 12, 2024

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