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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 weekly pay based on hours worked.
- Warum dieser Job: Get hands-on experience with cutting-edge AI projects while working in a flexible environment.
- Gewünschte Qualifikationen: 3+ years in software engineering, fluent in English, and proficient in Python required.
- Andere Informationen: Long-term contract with no end date; ideal for those seeking stability and growth.
Accepted Locations and Languages
We accept native or highly fluent German speakers based in Switzerland . 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:
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.
- Solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and working on a variety of projects.
Pay Rates
- Germany: $37.20/hr
- For other 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’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
- Apply using this 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 of us sending it.
- 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.
- 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!
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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 online. This will help you feel more confident and perform better when you receive the coding task.
✨Tip Number 4
Since the role is remote and flexible, think about how you can demonstrate your ability to manage your time effectively. Be ready to discuss your approach to balancing multiple projects and deadlines.
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 to thoroughly read the job description and understand the responsibilities and expectations. Highlight your relevant experience in software engineering, especially with Python, and how it aligns with the tasks mentioned.
Tailor Your CV: Customize your CV to emphasize your 3+ years of experience in software development. Include specific projects or achievements that showcase your proficiency in Python and any relevant technologies listed in the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role but also demonstrates your understanding of AI and coding challenges. Mention your ability to articulate complex concepts clearly, as this is crucial for the position.
Prepare for the Code Review: Since the application process includes an async RLHF code review, brush up on your coding skills and be ready to demonstrate your problem-solving abilities. Practice writing clean, efficient code and robust test cases to showcase your expertise.
Wie du dich auf ein Vorstellungsgespräch bei G2i Inc. vorbereitest
✨Watch the Loom Video
Before your interview, make sure to watch the Loom video created by the Founder/CEO. It provides valuable insights into the company and its expectations, helping you align your answers with their vision.
✨Prepare for the Async RLHF Code Review
The code review is a crucial part of the interview process. Practice coding problems in Python and ensure you can articulate your thought process clearly. Time management is key, as you'll need to complete it within 72 hours.
✨Showcase Your Attention to Detail
During the interview, emphasize your attention to detail and consistency in writing. Be prepared to discuss how you maintain high standards in your coding and documentation, as this is essential for evaluating AI-generated code.
✨Demonstrate Your Communication Skills
Effective communication is vital, especially when discussing complex concepts. Practice explaining your coding decisions and project requirements clearly and engagingly, as this will be assessed during the group call.
