Data Engineer - AI

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! 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. 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 Python code is better?" to "Make a full mobile application using this chatbot, and improve the chatbot's responses afterward to make it faster."
Compensation rates vary based on location and experience.
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. 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. 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.
Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises.
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. 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.

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.
• Proficiency with Python

Bachelor's or Master’s degree in Computer Science
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.
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!