Software Engineer for AI Training Data

Overview You’ll join an expert annotation team to create training data for for the worlds most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the biggest players in the AI/LLM space today. We are seeking software engineers with 3+ years of experience to train AI large 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 C++ code is better?" to "make a full mobile application using this chatbot, and improve the chatbot's responses afterwards to make it faster". Pay Rates US - 50/hr Brazil - 28.70 USD /hr Egypt - 22.05 USD /hr Phillipines - 25.55 USD /hr All other Non US Countries - 35 USD /hr Expectations are 15+ hours per week however there is no upper limit. We have engineers working 20-40 hrs per week and some that are working 40+ hours per week. You can work as much as you want to. You'll get paid on a weekly basis. You get paid 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. Our hope is that you would 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 incredibly flexible on working hours. Take a 3 hour lunch, no problem. You are paid according to time spent on the platform, which is calculated in the coding exercises, as opposed to tracking your own hours. Interview Process 1. Apply using this Lever form 2. If you look like a good fit, we'll send an async video interview (4 minutes) with two questions. 3. You'll perform a 30 - 60 minute live technical interview that is leetcode focused with the G2i technical interview team. If you solidly pass, you'll get the job. We are performing these interviews on behalf of the company. If you struggle but pass, the company may choose to re-interview you before offering you the role. 4. We'll setup a group call to answer further questions about the role and the company and can help you sign G2i's terms of service as a developer. 5. Each Wednesday, we work with the company to do a 30 min onboarding and a 5 hour paid session learning how to train AI models. You'll be able to start full time the following day. Tech Stack Priorities From the technical program manager: The best candidates will have experience with a variety of coding languages. Everyone has specializations and mobile dev and backend are our priorities for now -- but all things being equal, given the project nature of our work a tendency towards full/stack generalists will be better. We have hundreds of roles to fill so they will take all types of experience as long as you have 3+ years of professional experience. Their current priority list is as follows: 1. full stack software engineers with multiple languages 2. mobile dev - react native, flutter, dart, kotlin, java, swift 3. backend - java, c, c++, python, go, javascript, typescript 4. frontend - various frameworks 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 in working with one or more of the following languages: Java, Python, JavaScript, TypeScript, C++. Nice To Have's: Bachelor's and/or Master’s degree in Computer Science Proficiency in working with one or more of the following (in addition to the languages above): 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 it comes to understanding and discussing project requirements. A commitment to continuous learning, and staying updated with the latest in coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing!