• Assist in the development of new features for our iOS applications. • Integrate with backend services and APIs to ensure seamless functionality. • Write clear, maintainable, and efficient Swift code. • Identify and resolve bugs to improve application stability and user experience. • Explore and experiment with emerging iOS technologies and development practices. • Engage in team meetings and contribute to our agile development processes. • Leverage AI tools to streamline coding tasks and enhance development efficiency.

• Develop, scale, and maintain native iOS applications using Swift, leveraging both SwiftUI and UIKit for building high-quality mobile experiences. • Build and enhance contractor-facing workflows across business-critical features such as job scheduling, digital documents, client contact management, mobile payments, and subscriptions. • Maintain and optimize the existing mobile application architecture while implementing clean, scalable, and highly maintainable software solutions. • Cross-Functional Collaboration: Partner closely with Product, Design, Backend, Android, and Web engineering teams to ensure feature alignment and seamless API integrations. • Perform thorough code reviews, champion mobile engineering best practices, and actively participate in technical decision-making and architectural discussions. • Debug complex production issues, profile application performance, and systematically eliminate bottlenecks to ensure top-tier app stability. • Write and maintain comprehensive automated tests while thoroughly documenting technical architecture decisions and implementation details.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: iOS Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities - Use frontier AI coding agents to complete and evaluate complex engineering tasks. - Review model-generated mobile application code for correctness, quality, maintainability, and performance. - Identify bugs, edge cases, and failure modes in model outputs. - Compare outputs from multiple frontier models and assess their strengths and weaknesses. - Apply professional engineering judgment to realistic mobile engineering scenarios. Qualifications - Must-Have: 2+ years of professional iOS engineering experience. - Experience building and maintaining production iOS applications using Swift and modern iOS frameworks. - Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools. - Ability to evaluate model-generated mobile implementations and architectural decisions. - Preferred: Experience shipping production mobile applications. Requirements - Compensation: $400 per accepted task. - Typical tasks take approximately 2–3 hours after ramp-up. - Compensation is tied to accepted work. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

• Design and develop **native iOS applications** using Swift and SwiftUI • Build **guided multi-step capture workflows** with validation, sequencing, and completion checks • Develop camera-heavy experiences involving photo capture, video recording, and document scanning • Implement **offline-first mobile workflows** with synchronization and recovery mechanisms • Build robust upload systems with retries, progress tracking, and poor-network handling • Integrate backend APIs and collaborate on service contracts and data models • Implement quality validation workflows for captured media and structured user inputs • Drive architectural decisions focused on scalability, maintainability, and performance • Handle edge cases related to permissions, uploads, interrupted sessions, and media processing • Collaborate closely with Product, Design, and Platform Engineering teams