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Software Engineer for Training AI Data - Python, Russian Language

Accepted Locations and Languages

We accept native or highly fluent Russian 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, Russian Language, G2i Inc.

Join our dynamic team as a Software Engineer for Training AI Data at our innovative company! We’re searching for fluent Russian speakers who have a passion for coding and want to make an impact in the world of AI. If you have over three years of experience and are proficient in Python, this role could be your perfect fit. You’ll work remotely alongside an expert annotation team, creating and refining training data for some of the world’s leading AI language models. Whether you're evaluating AI-generated code or writing efficient test cases, every day will bring new and exciting challenges. What’s more, you’ll not only enhance these AI models but also keep your skills sharp as you tackle diverse coding problems. We believe in flexibility, so you can set your own hours and work as little or as much as you want, depending on your schedule. So why wait? Dive into the fascinating world of AI with us, where you can turn your expertise into meaningful advancements in technology!

Frequently Asked Questions (FAQs) for Software Engineer for Training AI Data - Python, Russian Language Role at G2i Inc.
What responsibilities does a Software Engineer for Training AI Data have at your company?

As a Software Engineer for Training AI Data, you will play a crucial role in evaluating AI-generated code, crafting functional solutions to coding challenges, and defining instructions to improve model efficiency. You will also ensure your code is thoroughly tested, making this an engaging and rewarding job for tech enthusiasts. Your expertise will directly contribute to the training of advanced AI models, helping to enhance their capabilities.

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

To apply for the Software Engineer for Training AI Data position, candidates should have at least 3 years of experience in software engineering, a solid understanding of Python, and complete fluency in English. While not mandatory, a background in Computer Science or familiarity with other programming languages can be advantageous. Attention to detail and excellent communication skills will also set you apart.

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Is prior experience with AI necessary for the Software Engineer role?

No prior experience with AI is necessary for the Software Engineer for Training AI Data position. We welcome candidates who are eager to learn and grow in the AI field. As part of the onboarding process, you'll receive training and support from our experienced team, allowing you to develop the necessary skills while you contribute to exciting projects.

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Can I work flexible hours as a Software Engineer at your company?

Absolutely! As a Software Engineer for Training AI Data, you have the flexibility to set your own hours. We value work-life balance, so whether you prefer to work 15 or 40 hours a week, it’s completely up to you. We encourage you to engage with your team while managing your schedule as it suits you.

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

The interview process for the Software Engineer for Training AI Data role starts with an application followed by an asynchronous RLHF code review. Successful candidates will receive access to our RLHF platform and participate in a final simulated task to showcase their skills. This thorough, yet respectful, process ensures that we find the right fit for both you and our team.

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Common Interview Questions for Software Engineer for Training AI Data - Python, Russian Language
Describe a coding challenge you've faced and how you overcame it.

In responding to this question, be specific about the challenge, the methods you used to address it, and the results. The interviewer will appreciate a structured answer, so follow the STAR method (Situation, Task, Action, Result) and highlight your problem-solving skills.

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How do you ensure the quality of your code?

Discuss your approach to code review, testing, and how you write self-documenting code. Elaborate on your strategies for error prevention, such as following coding standards and using version control effectively.

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What is your experience with Python and how do you utilize it in projects?

Share specific projects or tasks where Python was essential to your work. Emphasize libraries or frameworks you've used and any innovative solutions you've implemented using Python, showcasing your expertise.

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How do you stay updated with evolving technologies in the coding field?

Outline your commitment to continuous learning. Mention any resources you use, such as coding blogs, online courses, or community forums, and express your enthusiasm for keeping your skills current—and why it's important to you as a software engineer.

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Explain a time when you had to critique a team member's code. How did you approach it?

In your response, highlight the importance of constructive feedback. Discuss how you balanced honesty with kindness and the measures you took to ensure the discussion remained professional and focused on improvement.

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What do you prioritize when writing test cases?

Talk about your focus on identifying edge cases, covering all functional requirements, and how your test cases help ensure reliability. Demonstrating a solid understanding of unit testing or other testing methodologies can be impactful.

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How do you approach learning a new language or technology?

Share your personal strategy for learning new languages or technologies, referencing specific tools, learning platforms, or projects where you've successfully applied this learning methodology.

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Why do you want to work as a Software Engineer for Training AI Data?

Articulate your passion for AI technology and your eagerness to contribute to its development. Connect your career goals with the company’s vision and explain how this role fits into your professional aspirations.

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Describe how you handle tight deadlines.

Illustrate your time management skills by discussing your prioritization methods, highlighting experiences where you successfully met tight deadlines without sacrificing quality.

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What interests you most about working with AI models?

Provide insight into your excitement about AI, whether it’s the impact of improving generative models or the challenges in training them. Show how your interests align with the company's mission in AI development.

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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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Contract, remote
DATE POSTED
March 24, 2025

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