Description
Accepted Locations
We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are accepting candidates from some countries in Africa and Asia. For the complete 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 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
- 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 Golang code is better?" to "Make a full mobile application using this chatbot, and improve the chatbot's responses afterward to make it faster."
Pay Rates
Compensation rates vary based on location and experience.
Note: The following rates are starting points and may be subject to change:
To view the complete list of locations and their values, click here.
- US - 50/hr
- Brazil - 25.40 USD /hr
- Egypt - 14.60 USD /hr
- Philippines - 24.20 USD /hr
Expectations are 15+ hours per week; however, there is no upper limit. We have engineers working 20-40 hours per week and some working 40+ hours per week. 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; we hope you will 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 urgency projects while staying engaged but they will also be incredibly flexible on working hours.
You can take a 3-hour lunch; no problem! Instead of tracking your hours you are paid according to time spent on platform calculated in coding exercises.
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 about 35 minutes which must be finished within72hours after sending it.
You'll receive credentials for RLHF platform then we'll set up group call answering any further questions about onboarding with company.
You'll perform simulated production-level task (RLHF task) on platform which will be final interview ultimately determining employment level success completion provides opportunity working projects as they become available.
Tech Stack Priorities
The current priority for this team is engineers with either Data Science background who know Golang well or software engineers who are well versed in Golang.
Required Qualifications:
-3+ years experience software engineering/software development role
-complete fluency English language
-ability articulate complex scientific concepts clearly engagingly
-excellent attention detail ability maintain consistency writing
-solid understanding grammar punctuation style guidelines
-proficiency Golang
Nice To Haves:
-Bachelor's or Master’s degree Computer Science
-Proficiency working one or more following Java JavaScript TypeScript C++ SQL Swift Ruby Rust Go NET Matlab PHP HTML DART R Apex Shell C C#
-recognized accomplishments contributions coding community projects
-proven analytical skills ability approach problems creatively
-adept communication skills especially understanding discussing project requirements
-a commitment continuous learning staying updated latest coding advancements best practices
-enthusiasm teaching AI models experience technical writing!