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- Aufgaben: Join a team to create training data for advanced AI models using Python.
- Arbeitgeber: Work with a leading player in the AI/LLM space, shaping the future of technology.
- Mitarbeitervorteile: Enjoy 100% remote work, flexible schedules, and competitive pay rates based on location.
- Warum dieser Job: Get hands-on experience with cutting-edge AI while working on diverse coding challenges.
- Gewünschte Qualifikationen: 3+ years in software engineering, fluent in English, and proficient in Python required.
- Andere Informationen: Long-term contract with no end date; commitment to 12 months preferred.
Das voraussichtliche Gehalt liegt zwischen 52000 - 84000 € pro Jahr.
Accepted Locations and Languages
We accept native or highly fluent German speakers based in Germany, Austria, and Switzerland. This work is 100% remote.
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.
What Will I Be Doing?
- Evaluating the quality of AI-generated code, including human-readable summaries of your rationale.
- Solving coding problems, writing functional and efficient code.
- Writing robust test cases to confirm code works efficiently and effectively.
- Solving coding challenges, creating instructions to help others, and reviewing the code before it goes into the model. Projects vary widely.
Pay Rates
- Austria: $22.50/hr
- Germany: $26.67/hr
- Switzerland: $37.20/hr
- Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want.
Contract Length
- Long-term, with no end date. Expect work for the next 2 years.
- You can end the contract at any time, though a commitment to 12 months is preferred.
Flexible Schedules
- Developers can set their own hours. Strong performers will adapt to project urgency while enjoying flexible working hours.
Interview Process
- Apply using the Ashby form.
- 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.
- You will perform a simulated production-level task on the platform, which will determine your employment and leveling.
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 one or more of the following: Java, JavaScript, TypeScript, C++, SQL, Swift, Ruby, Rust, Go, NET, Matlab, PHP, HTML, DART, R, Apex, Shell, C, C#.
- Recognized accomplishments or contributions to the coding community.
- Proven analytical skills with an ability to approach problems creatively.
- Adept communication skills, especially when discussing project requirements.
- A commitment to continuous learning and staying updated with the latest coding advancements.
- Enthusiasm for teaching AI models and experience with technical writing.
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Software Engineer for Training AI Data - Python, German Language Arbeitgeber: G2i Inc.
Kontaktperson:
G2i Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Software Engineer for Training AI Data - Python, German Language
✨Tip Number 1
Make sure to highlight your experience with Python in your discussions. Since the role emphasizes proficiency in Python, be prepared to discuss specific projects where you've utilized this language effectively.
✨Tip Number 2
Familiarize yourself with AI and machine learning concepts, even if you don't have direct experience. Understanding the basics will help you engage more meaningfully during the interview process.
✨Tip Number 3
Prepare for the async RLHF code review by practicing coding challenges that require you to write efficient and functional code. This will help you perform better in the simulated production-level task.
✨Tip Number 4
Since communication is key, practice articulating complex technical concepts clearly. This will not only help you in the interview but also in your day-to-day work with the team.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Software Engineer for Training AI Data - Python, German Language
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and expectations of the Software Engineer position. Familiarize yourself with the tasks related to evaluating AI-generated code and writing robust test cases.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 3+ years of experience in software engineering, particularly your proficiency in Python. Mention any relevant projects or coding challenges you've tackled that align with the job description.
Showcase Communication Skills: Since the role requires articulating complex concepts clearly, provide examples in your application that demonstrate your ability to communicate effectively, especially in a technical context.
Prepare for the Code Review: Be ready for the async RLHF code review as part of the interview process. Brush up on your coding skills and be prepared to showcase your problem-solving abilities within the 35-minute time frame.
Wie du dich auf ein Vorstellungsgespräch bei G2i Inc. vorbereitest
✨Prepare for the Async Code Review
Make sure to practice coding problems similar to those you might encounter in the async RLHF code review. Familiarize yourself with production-level tasks and ensure you can articulate your thought process clearly while solving them.
✨Showcase Your Python Proficiency
Since proficiency in Python is a key requirement, be ready to discuss your past projects and experiences where you've utilized Python effectively. Highlight any specific libraries or frameworks you've worked with that are relevant to AI or data science.
✨Communicate Clearly in German and English
As a native or highly fluent German speaker, ensure you can communicate complex concepts in both German and English. Practice explaining technical topics in a clear and engaging manner, as this will be crucial during the interview.
✨Demonstrate Attention to Detail
Pay close attention to grammar, punctuation, and style guidelines in your written communication. During the interview, showcase your ability to maintain consistency and clarity in your explanations, as this reflects your attention to detail.
