3 days ago

Swift Engineer

Hackajob

Hybrid
Contractor
$80,000
Hybrid

Job Overview

Job TitleSwift Engineer
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$80,000
LocationHybrid

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Job Description

Role Description for Swift Engineer

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. Your responsibilities include assessing solutions for accuracy, clarity, and adherence to prompts, identifying errors in methodology or conceptual understanding, and fact-checking technical details. You will also 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, dedicated to improving the world's premier AI models by providing AI training data for many of the largest AI companies and foundation model labs.

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
  • 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.

Key skills/competency

  • Swift Development
  • iOS Engineering
  • AI Model Evaluation
  • Large Language Models (LLMs)
  • Technical Writing
  • Code Review
  • UI Logic Quality
  • SwiftUI/UIKit
  • Mobile Architecture
  • Algorithmic Problem-Solving

Tags:

Swift Engineer
AI training
model evaluation
content generation
problem-solving
code review
technical writing
debugging
iOS development
Swift development
Swift
iOS
LLMs
SwiftUI
UIKit
Combine
MVVM
Git
ARC

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How to Get Hired at Hackajob

  • Research SME Careers & SuperAnnotate: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor. Understand their role in AI data services.
  • Tailor Your Resume: Customize your resume to highlight Swift/iOS development, AI model evaluation, and technical writing skills. Emphasize experience with LLMs and mobile application review.
  • Showcase Your Portfolio: Include links to relevant Swift/iOS open-source projects, merged pull requests, or examples of technical content creation if available.
  • Prepare for Technical Assessment: Brush up on core Swift fundamentals, iOS architectures, memory management, and debugging. Be ready to discuss code quality and performance.
  • Demonstrate Communication Skills: Practice articulating complex technical concepts clearly in English, as written and verbal communication are crucial for AI content creation and evaluation.

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