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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.
- 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 Skills
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