Software Engineer for AI Training Data

hace 2 semanas


guanajuato, México G2i Inc. A tiempo completo
Accepted Locations

We are accepting applicants from the US, Canada, and most countries in LATAM and Europe. We are accepting some countries in Africa and Asia. This work is 100% remote.

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. You'll get your foot in the door with one of the biggest players in the AI/LLM space today. We are seeking software engineers with 1-2 years of experience to train AI large 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

What Will I Be Doing?
  • Evaluating the quality of AI-generated code, including human-readable summaries of your rationale.

  • Solving coding problems, writing functional and efficient code.

  • Writing robust test cases to confirm code works efficiently and effectively.

  • Solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and engaging in a variety of projects.

Pay Rates
  • US - 50/hr

  • Brazil - 28.70 USD/hr

  • Egypt - 22.05 USD/hr

  • Philippines - 25.55 USD/hr

  • All other Non-US Countries - 35 USD/hr

  • Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want to, and you'll get paid on a weekly basis.

Contract Length
  • Long term, there is no end date. They expect to have work for the next 2 years.

  • You can end the contract at any time. Our hope is that you would 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. Strong performers will adapt to the urgency of projects and stay engaged, but there is incredible flexibility on working hours.

  • You are paid according to time spent on the platform, which is calculated in the coding exercises, as opposed to tracking your own hours.

Interview Process
  • Apply using this Ashby form.

  • If you look like a good fit, we'll send an async RLHF code review that will take 35 minutes and would need to be finished within 72 hours of us sending it.

  • You'll receive credentials to the RLHF platform. We'll set up a group call to answer further questions about onboarding with the company.

  • You'll perform a simulated production-level task RLHF task on the platform. This will be your final interview and will ultimately determine your employment and leveling.

Required Qualifications:
  • Proficiency with JavaScript and TypeScript.

  • 1-2+ years of experience in a software engineering/software development role or you're finishing a university-level computer science degree.

  • 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.

Nice To Have's:
  • Bachelor's and/or Master’s degree in Computer Science.

  • Proficiency in Python.

  • Recognized accomplishments or contributions to the coding community or in projects.

  • Proven analytical skills with an ability to approach problems creatively.

  • Adept communication skills, especially when it comes to understanding and discussing project requirements.

  • A commitment to continuous learning, and staying updated with the latest in coding advancements and best practices.

  • Enthusiasm for teaching AI models and experience with technical writing

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