We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote.
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Overview
Join our 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're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend 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.
Building and evaluating React components, hooks, and modern Swiftt solutions.
Solving coding problems and writing functional and efficient Swift code.
Writing robust test cases to confirm code works efficiently and effectively.
Creating instructions to help others and reviewing code before it goes into the model.
Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots.
Pay Rates
Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform.
Contract Length
This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will 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 will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the 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 35 minutes and must be finished within 72 hours of us sending it.
You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal.
You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. 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 frontend engineers who are well versed in Swift.
Required Qualifications
3+ years of experience in a software engineering/software development role.
Strong proficiency with Swift and frontend development.
Complete fluency in the English language.
Ability to articulate complex technical concepts clearly and engagingly.
Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines.
Nice to Haves:
Bachelor’s or Master’s degree in Computer Science or a related field.
Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor).
Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing).
Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures.
Experience working with Swift Package Manager and other modern iOS/macOS tooling.
Contributions to the Swift community or notable open-source projects.
Strong analytical skills and a creative approach to solving complex UI or architectural problems.
Clear and effective communication, particularly when gathering requirements or explaining technical concepts.
A passion for continuous learning and staying current with Swift evolution and best practices.
Enthusiasm for teaching AI models and a background in technical writing is a big plus!
If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.
