Swift Engineer (Train AI Models Part Time!)

Role Description

As a remote, hourly paid Swift Engineer, you will review AI-generated responses and generate high-quality Swift and iOS-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check technical details; write expert-level explanations and model solutions that demonstrate correct approaches in Swift and iOS; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world's largest AI companies and foundation model labs, helping to improve the world's premier AI models.

Your Profile

• 2+ years of hands-on Swift/iOS development experience
• Strong understanding of core Swift fundamentals, memory management, and ARC
• Professional iOS engineering experience shipping or maintaining production mobile applications
• Minimum Bachelor's degree in Computer Science or a closely related field
• Ability to evaluate code for correctness, maintainability, performance, and UI logic quality
• Significant experience using large language models (LLMs) to assist with coding, debugging, and code review
• Excellent English writing skills with the ability to articulate complex technical concepts clearly
• Highly preferred: Experience with SwiftUI, UIKit, and Combine in modern iOS architectures such as MVVM
• Preferred: Merged pull requests in Swift/iOS open-source projects, competitive programming exposure, or similar evidence of strong algorithmic problem-solving skills
• Experience reviewing app logic or mobile architecture, with previous AI data training or model evaluation work strongly preferred and Minimum C1 English proficiency

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases

Why Work with SME Careers?

Want to be a part of a forward-thinking team and help us train AI to communicate more effectively? At SME Careers, we connect skilled professionals with opportunities in the rapidly evolving AI industry.