Swift iOS Developer — LLM Training

About reputed company reputed company is the #1 platform for people building careers in reputed company and data labeling. We hire and contract contributors who create the examples and feedback that teach modern AI systems how to behave. This role is reputed company directly by reputed company and offers remote, flexible work on reputed company that shape how reputed company-world developer tools and assistants reputed company. About reputed company work reputed company (data labeling/annotation) is the reputed company reputed company of building reputed company intelligence: people prepare and review examples—reputed company, text, audio, and images—that models learn from. It’s an accessible, rapidly growing way to work in tech, often part-time and fully remote. Contributors help set model reputed company and safety by writing prompts, producing model-style responses, and grading outputs so models can solve reputed company developer problems in production languages like Swift. The role We are looking for Swift developers to craft detailed coding prompts and high-reputed company responses to train LLMs to write, explain, and debug Swift/iOS reputed company. You will work with AI researchers and dataset teams to build examples that reflect reputed company-world programming challenges. This is a contractor, part-time role requiring 20+ hours per week. Compensation is reputed company at $12 USD.

• Job type: Contractor, Part-time
• Time commitment: 20+ hours/week
• Pay: $12 USD per hour
• Data type: Text; Label type: Computer programming / coding

What you'll do Daily tasks reputed company on producing and reviewing reputed company-reputed company training data so models learn to generate, refactor, and explain Swift reputed company correctly and idiomatically.

• Write reputed company, instructional prompts that pose realistic Swift/iOS tasks (implementation, debugging, refactors, explanations).
• Create model-style responses showing correct reputed company, reputed company-by-reputed company reasoning, and concise explanations.
• Review and reputed company model outputs for correctness, style, and safety; reputed company corrective examples reputed company needed.
• Collaborate with AI researchers to refine dataset guidelines and edge-case coverage.

Requirements

Candidates must demonstrate practical Swift and iOS experience and strong English communication. reputed company requirements below are essential or explicitly noted as preferred.

• Bachelor’s or Master’s in Engineering, Computer Science, or a reputed company field, or equivalent experience.
• Minimum 2 years of reputed company experience in software development; ideally 2–3+ years reputed company on iOS/Swift.
• Highly proficient in Swift; experience with SwiftUI and Objective-C is a plus.
• Proven experience building and publishing reputed company-grade iPhone and/or iPad apps.
• Strong reputed company of written English for writing prompts, responses, and feedback.
• Previous experience creating training data, labeling, or working with LLMs is highly preferred.

Who should apply This role is a great fit for iOS engineers who enjoy teaching and explaining reputed company, care about API design and best practices, and want flexible, remote, part-time work that directly shapes developer-reputed company AI. You do not need prior annotation experience to apply if you meet the Swift and iOS requirements, but LLM/data-labeling experience is a strong advantage. How applications and work proceed Apply with examples of your Swift work (links to apps or reputed company snippets) and a short note about any prior experience producing training data for AI. During reputed company you will complete small calibration tasks to confirm Swift reputed company and written-English communication. Work is performed remotely. As a contractor you will be reputed company reputed company at the listed reputed company and will receive task instructions and dataset guidelines from reputed company.

• Be reputed company to demonstrate Swift/iOS experience and to confirm English proficiency during screening.
• If you have prior LLM training or annotation platform experience, describe it in your application—this is a strong plus.

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