Software Engineer For Training Ai Data (Swift)

G2I Inc.; A distancia; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading AI company is seeking software engineers with over 3 years of experience to join an expert team. Responsibilities include evaluating AI-generated code, writing efficient solutions, and maintaining quality standards. Candidates must be fluent in English and proficient in Swift. The role offers long-term contracts with flexible schedules, allowing you to work as much as you want and complete tasks at your convenience.

Formación

• 3+ years of experience in a software engineering/software development role.
• Complete fluency in the English language.
• Ability to articulate complex scientific concepts clearly and engagingly.
• Solid understanding of grammar, punctuation, and style guidelines.

Responsabilidades

• Evaluating the quality of AI-generated code.
• Writing functional and efficient code.
• Writing robust test cases to confirm code functions correctly.

Conocimientos

Proficiency with Swift

Attention to detail

Fluency in English

Problem-solving skills

Understanding of grammar and style guidelines

Educación

Bachelor’s or Master’s degree in Computer Science

Herramientas

Java

JavaScript

TypeScript

C++

SQL

Descripción del empleo

Overview

You’ll join an expert annotation team to create training data for the world’s most advanced AI models.

No previous AI experience is necessary.

We seek software engineers with 3+ years of experience to train large AI language models, helping cutting‑edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open!

Key Responsibilities

• Evaluating the quality of AI-generated code, including human‑readable summaries of your rationale
• Solve coding problems, writing functional and efficient code
• Writing robust test cases to confirm code works efficiently and effectively

Compensation

Pay rates vary based on location and experience. Expectation is 15+ hours per week; there is no upper limit.

• US – 50 /hr
• Brazil – USD /hr
• Egypt – USD /hr
• Philippines – USD /hr
• Expectations are 15+ hours per week; however, there is no upper limit.
• Engineers work 40+ hours per week in some cases. You can work as much as you want.
• Payment is weekly per hour of work done on the platform.

Contract Duration

• Long term, there is no end date.
• Contract can be ended at any time.

Flexible Schedules

• You can take a 3‑hour lunch, no problem.
• Hours are tracked by time spent on the platform and calculated in coding exercises.

Interview Process

• Async RLHF code review (approx. 35 minutes, must be finished within 72 hours).
• Credentials to the RLHF platform are provided.
• Group call to answer onboarding questions.
• Simulated production‑level task (RLHF task) on the platform.
• Final interview that determines employment and leveling.
• Successful completion provides opportunity to work on projects as they become available.

Tech Stack Preferences

• Priority for engineers with a data‑science background who know Swift well or software engineers who are well‑versed in Swift.

Required Qualifications

• 3+ years of experience in a software engineering / software development role.
• Complete fluency in the English language.
• Ability to articulate complex scientific concepts clearly and engagingly.
• Excellent attention to detail and ability to maintain consistency in writing.
• Solid understanding of grammar, punctuation, and style guidelines.
• Proficiency with Swift.

Nice to Haves

• Bachelor’s or Master’s degree in Computer Science.
• Proficiency in working with one or more of the following: Java, JavaScript, TypeScript, C++.
• SQL, Swift, Ruby, Rust, Go, .NET, Matlab, PHP, HTML, Dart, R, Apex, Shell, C, C#.
• Recognized accomplishments or contributions to the coding community or in projects.
• Proven analytical skills with creative problem‑solving.
• Strong communication skills for understanding and discussing project requirements.
• Commitment to continuous learning and staying updated with the latest coding advancements and best practices.
• Enthusiasm for teaching AI models and experience with technical writing.