Swift/iOS Developer — LLM Training & Prompt Coding

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect skilled contributors with projects that teach AI systems how to think, write, and code.

Working with OpenTrain puts you at the center of a fast-growing industry where careful human examples guide the behavior of state-of-the-art models. Contributors often work remotely, part time, and build skills that transfer across AI projects and companies.

About AI Training Work

AI training (also called data labeling or human feedback work) is the human side of building intelligent systems. For coding-focused projects, that means authoring prompts, example solutions, and evaluations so language models learn to write, understand, and debug real code.

These roles are flexible and remote, and they let you directly influence how models perform on real-world engineering tasks. Many projects require domain expertise—Swift/iOS experience is highly valued here.

The Role

We are seeking Swift Developers to create training data that teaches LLMs to understand and generate Swift code. You will craft detailed coding prompts and example responses, collaborate with AI researchers, and help shape datasets that reflect real-world iOS development scenarios.

This is a part-time contractor position, 20+ hours per week, paid per hour at USD $12. The role is fully remote and open worldwide.

• Position type: Contractor, Part-time
• Hours: 20+ hours/week
• Pay: USD $12 per hour
• Location: Remote (worldwide)

What You'll Do

Produce high-quality prompt–response pairs, coding challenges, and model evaluations focused on Swift and iOS development. Work closely with AI researchers to iterate on dataset quality and cover realistic engineering scenarios.

Document edge cases, include testable code examples, and help define scoring guidelines so model outputs can be reliably assessed and improved over time.

• Write detailed prompts and canonical Swift solutions
• Create and review model responses for correctness, style, and safety
• Develop dataset examples that represent real app development tasks
• Collaborate with researchers to refine annotation guidelines and QA

Requirements

You must be highly proficient in Swift and have practical iOS development experience. Candidates should hold a Bachelor's or Master's in Engineering, Computer Science, or a related field, or have equivalent industry experience.

Strong written and spoken English is required because you'll write precise prompts, explanations, and review notes.

• Minimum 2 years of Swift development experience; 2–3+ years of iOS development preferred
• Proficiency with Swift, SwiftUI, and/or Objective-C for iOS development
• Proven experience building and publishing commercial iPhone and/or iPad apps
• Bachelor’s or Master’s degree in CS/Engineering or equivalent experience
• Strong command of English (written and spoken)

Preferred Experience

Previous experience preparing training data for LLMs or working as an AI data labeler/trainer is a strong plus. Familiarity with annotation platforms or LLM training workflows will help you ramp up faster.

We value contributors who can translate real engineering problems into clear, testable prompts and who pay close attention to detail.

• Prior LLM trainer / data labeler experience on platforms like Remotasks, Appen, Outlier.AI, or similar is highly desirable
• Experience in additional programming languages or backend/mobile tooling is a plus
• Published apps, open-source projects, or GitHub samples demonstrating Swift expertise

How to Apply

When you apply, include a resume and links to any published iOS apps, App Store listings, or GitHub/Code samples that demonstrate your Swift work. Be prepared to share short examples of prompts and sample Swift solutions during screening.

During interviews we will confirm Swift experience, ask about prior LLM/data-labeling work, and evaluate English communication. Contractors will receive onboarding materials and annotation guidelines before beginning work.

• Submit resume plus links to apps or code samples
• Be ready to discuss Swift projects and any LLM labeling experience
• You may be asked to complete a short paid test task to demonstrate skills