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. 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.
Solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and engaging in a variety of projects.
Pay Rates
Compensation rates vary based on location and experience. Expectations are 15+ hours per week; however, there is no upper limit. You'll get paid weekly per hour of work done on the platform.
US - 50/hr
Brazil - 25.40 USD /hr
Egypt - 14.60 USD /hr
Philippines - 24.20 USD /hr
Contract Length
Long term, with no end date expected for the next 2 years.
You can end the contract at any time, with a hope to commit to 12 months of work.
Flexible Schedules
Developers can set their own hours—ideal candidates will be interested in spending 40 hours a week.
You can take a 3-hour lunch, and instead of tracking your hours, you are paid according to time spent on the platform.
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 and must be finished within 72 hours.
You'll receive credentials to the RLHF platform for a simulated production-level task, which will be your final interview.
Tech Stack Priorities
The current priority for this team is engineers with either a Data Science background who know Java well or software engineers who are well versed in Java.
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 Java.
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.
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.
Enthusiasm for teaching AI models and experience with technical writing!
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