Accepted Locations
We are accepting applicants from South Korea, and several other Asian countries. For the full 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: https://www.loom.com/share/5a8972c7fbbf46aaa3f389b2b6391c40
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 Python 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
South Korea: 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
Apply using this Ashby form
If you look like a good fit, we'll send an async RLHF code review that will take 35 minutes and would need to be finished within 72 hours of us sending it.
You'll receive credentials to the RLHF platform. We'll setup a group call to answer 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 and will ultimately determine your employment and leveling.
Tech Stack Priorities
The current priority for this team is engineers with either a Data Science background that know Python well or software engineers that are well versed with 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 Have's:
Bachelor's and/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 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!
