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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 from anywhere.
- Gewünschte Qualifikationen: 3+ years in software engineering, fluent in English, and proficient in Python required.
- Andere Informationen: Long-term contract with no end date; you can work as much as you want.
Accepted Locations and Languages
We accept native or highly fluent Italian speakers based primarily in Italy 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. 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
- Solving coding problems, writing functional and efficient code
- Writing robust test cases to confirm code works efficiently and effectively
- Engaging in varied projects such as reviewing code, creating instructions, and improving chatbot responses.
Pay Rates
- Italy: $24.66/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. 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.
Flexible Schedules
- Developers can set their own hours—ideal candidates will be interested in spending 40 hours a week.
- You can take a 3-hour lunch, no problem.
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.
- You’ll perform a simulated production-level task (RLHF task) on the platform.
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, Italian Language Arbeitgeber: G2i Inc.
Kontaktperson:
G2i Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Software Engineer for Training AI Data - Python, Italian Language
✨Tip Number 1
Make sure to highlight your experience with Python in your discussions. Since the role emphasizes proficiency in Python, be ready to discuss specific projects where you've utilized this language effectively.
✨Tip Number 2
Familiarize yourself with AI concepts and coding best practices. Even though previous AI experience isn't necessary, showing that you understand how AI models work can set you apart from other candidates.
✨Tip Number 3
Prepare for the async RLHF code review by practicing coding problems that require writing efficient and functional code. This will help you feel more confident and perform better during the assessment.
✨Tip Number 4
Engage with the coding community or contribute to open-source projects. This demonstrates your commitment to continuous learning and can provide you with valuable talking points during interviews.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Software Engineer for Training AI Data - Python, Italian Language
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your 3+ years of experience in software engineering or development. Detail specific projects where you used Python and any relevant technologies, showcasing your problem-solving skills.
Showcase Language Proficiency: Since fluency in Italian is crucial, include any certifications or experiences that demonstrate your language skills. Mention any previous roles where you communicated effectively in Italian.
Detail Your Technical Skills: List your proficiency in Python and any other programming languages you know. If you have experience with data science or AI-related projects, be sure to highlight those as well.
Prepare for the Code Review: After applying, be ready for the async RLHF code review. Brush up on your coding skills and familiarize yourself with the types of tasks you might encounter during this process.
Wie du dich auf ein Vorstellungsgespräch bei G2i Inc. vorbereitest
✨Showcase Your Python Skills
Since proficiency in Python is a must, be prepared to discuss your experience with the language. Bring examples of projects you've worked on, especially those that demonstrate your ability to write functional and efficient code.
✨Prepare for the Async RLHF Code Review
This part of the interview process is crucial. Make sure you understand the requirements and practice coding problems similar to what you might encounter. Time management is key, so plan to complete the task well within the 72-hour limit.
✨Communicate Clearly and Engagingly
You’ll need to articulate complex concepts clearly. Practice explaining your thought process and rationale behind your coding decisions. This will help demonstrate your analytical skills and attention to detail.
✨Demonstrate Continuous Learning
Show your enthusiasm for staying updated with the latest coding advancements. Discuss any recent courses, certifications, or projects that reflect your commitment to continuous learning and improvement in the field.
