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Software Engineer for Training AI Data - Python, German Language

Accepted Locations and Languages

We accept native or highly fluent German speakers based in Germany. 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

Hourly rate: $26.67

  • 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

$42500 / YEARLY (est.)
min
max
$35000K
$50000K

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, German Language, G2i Inc.

Are you a passionate Software Engineer looking to make an impact in the AI space? Join our dynamic team as a Software Engineer for Training AI Data at a leading company focused on transforming generative AI models! As part of our expert annotation team, you'll create crucial training data for some of the most sophisticated AI models out there. This position is perfect for native or highly fluent German speakers based in Germany, and remember, it's fully remote! Forget about previous AI experience; we want you to bring your 3+ years of software engineering expertise, particularly with Python. You'll engage in exciting projects that require evaluating AI-generated code and writing efficient solutions to coding challenges. Your insights will help improve the models, making your role not just important but incredibly fulfilling. Set your own hours — whether you want to work 15 hours a week or 40+, we offer the flexibility to fit your life. We pay weekly based on your hours spent on the platform, so you can really take control of your time. With no end date on contracts and plenty of work lined up for the next two years, this opportunity promises long-term engagement. If you're excited about solving coding problems and want to shape the future of AI while working with a supportive team, this is the role for you!

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

As a Software Engineer for Training AI Data in our company, your key responsibilities will include evaluating AI-generated code, developing and solving various coding challenges, and writing robust test cases to ensure code efficiency. You will engage with complex coding problems, articulate your rationale in human-readable summaries, and create instructions for others to use. The role is about collaborating within a highly skilled team and contributing to diverse projects, including mobile application development and chatbot improvements.

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What qualifications are needed to apply for the Software Engineer for Training AI Data position?

To apply for the Software Engineer for Training AI Data position at our company, you should have a minimum of 3 years experience in software engineering or software development. Strong proficiency in Python is essential, along with complete fluency in the English language. You should also be able to clearly communicate complex scientific ideas and maintain attention to detail in writing. While not mandatory, having a Bachelor's or Master’s degree in Computer Science and familiarity with other programming languages would be a plus.

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

No, previous AI experience is not necessary for the Software Engineer for Training AI Data role at our company. We value your software engineering prowess, particularly your experience with Python. We believe that anyone with a solid background in coding can transition smoothly into this role, as we provide comprehensive support and training to help you engage effectively with AI models.

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What is the expected work schedule and flexibility for the Software Engineer for Training AI Data position?

The work schedule for the Software Engineer for Training AI Data position is highly flexible. We encourage you to choose your working hours based on your lifestyle and personal commitments. While the expectation is to commit at least 15 hours per week, many team members opt to work 20-40 hours per week or even more, depending on their availability. You have the freedom to take breaks and manage your time as you see fit, enabling a perfect work-life balance.

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

The interview process for the Software Engineer for Training AI Data position involves a few key steps. After submitting your application, if you're a good fit, you'll complete an async RLHF code review, which takes about 35 minutes. Following this, you'll receive access to our RLHF platform and partake in a group call to discuss the onboarding process. Finally, your journey will conclude with a simulated production-level task on the platform, which serves as your final interview.

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Common Interview Questions for Software Engineer for Training AI Data - Python, German Language
What interests you about the Software Engineer for Training AI Data role?

When answering this question, focus on your passion for AI technologies and software engineering. Express enthusiasm about contributing to innovative projects that enable AI models to learn and improve. Highlight your eagerness to solve complex coding challenges and how this position aligns with your long-term career goals.

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Can you describe a challenging coding problem you've solved in the past?

To effectively answer this question, describe a specific problem, the approach you used to solve it, and the results of your solution. Focus on your problem-solving skills, technical knowledge, and how you collaborated with others if applicable. This showcases your analytical abilities in real-world scenarios.

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How do you ensure the efficiency and reliability of your code?

Discuss your coding practices that prioritize efficiency, such as writing modular code, leveraging testing frameworks, and performing thorough debugging. Explain your approach to writing robust test cases and how you utilize feedback to improve code quality. Demonstrating a solid understanding will impress your interviewers.

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What programming languages are you proficient in besides Python?

In addition to emphasizing your proficiency in Python, mention any other languages you are familiar with, such as Java, JavaScript, or C++. Discuss any relevant projects where you've utilized those languages and how they might relate to the AI data training role.

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How would you approach evaluating AI-generated code?

When addressing this question, outline a systematic approach for evaluating AI-generated code, such as establishing performance benchmarks, examining code readability, and reviewing for logical errors. Highlight your understanding of what constitutes quality code and your ability to provide constructive feedback to enhance the AI's learning.

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Can you explain how you articulate complex scientific concepts?

Mention specific techniques such as breaking down concepts into simpler parts, using analogies, and tailoring your communication style to your audience. Provide an example of how you've successfully explained a complex topic in a previous role or project.

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How do you stay updated with the latest advancements in software engineering?

Discuss your commitment to continuous learning by mentioning workshops, online courses, blogs, podcasts, and participation in coding communities. Illustrate how this dedication contributes to your professional growth and enhances your coding projects.

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What role do you think collaboration plays in software development?

Emphasize the importance of teamwork in software development, focusing on how collaborative efforts lead to better problem-solving and innovative ideas. Share experiences where teamwork significantly contributed to successful project outcomes.

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Describe your experience with technical writing.

Explain how your technical writing experience supports project documentation, coding instructions, or user guides. Provide examples of how clear, engaging writing is critical for onboarding team members or users who interact with the software.

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What are your long-term career goals as a Software Engineer?

Share your aspirations related to personal development, leadership roles within tech projects, or interests in expanding your expertise in AI technologies. Relate your long-term goals to the opportunities presented by the Software Engineer for Training AI Data role, illustrating your commitment to both personal and professional growth.

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DATE POSTED
December 13, 2024

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