Software Engineer for AI Data Annotation

2 semanas atrás


Rio de Janeiro, Rio de Janeiro, Brasil G2i Inc. Tempo inteiro
Job Overview

We are seeking a skilled Software Engineer to join our expert annotation team and contribute to the creation of training data for cutting-edge AI models. As a Software Engineer for AI Data Annotation, you will work on a variety of projects, including discrete, highly variable problems that involve engaging with AI models as they learn to code.

Responsibilities
  • Evaluate the quality of AI-generated code, including human-readable summaries of your rationale
  • Solve coding problems, writing functional and efficient code
  • Write robust test cases to confirm code works efficiently and effectively
  • Solve coding challenges, create instructions to help others, review code before it goes into the model, and work on various projects
Requirements
  • 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 Python
Compensation

Compensation rates vary based on location and experience. Expectations are 15+ hours per week; however, there is no upper limit. You will get paid weekly per hour of work done on the platform.

  • US - $50/hr
  • Brazil - $25.40 USD/hr
  • Egypt - $14.60 USD/hr
  • Philippines - $24.20 USD/hr
Contract Length
  • Long term, there is no end date. We expect to have work for the next 2 years.
  • You can end the contract at any time. We hope you will commit to 12 months of work, but if you start and it's not a fit for you, we totally understand.
Flexible Schedules
  • Developers can set their own hours—ideal candidates will be interested in spending 40 hours a week.
  • You can take a 3-hour lunch, no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises.
Interview Process
  • Apply using this Ashby form.
  • If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it.
  • You will perform a simulated production-level task (RLHF task) on the platform. This will be your final interview, which will ultimately determine your employment and leveling.
Tech Stack Priorities
  • The current priority for this team is engineers with either a Data Science background who know Python well or software engineers who are well-versed in Python.


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