.Accepted Locations and Languages We accept native or highly fluent Spanish (European) speakers . 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 a variety of projects, including reviewing code and creating instructions to help others. Pay Rates Spain: $20.19 Expectations are 15+ hours per week; however, there is no upper limit. 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. Flexible Schedules Developers can set their own hours. 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. You'll perform a simulated production-level task (RLHF task) on the platform. This will be your final interview. 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