AI Training Data Developer for Large Language Models
2 giorni fa
Overview
G2I Inc. is seeking a skilled Software Engineer to join our expert annotation team and create training data for cutting-edge AI models. As a developer in this role, you will work with large language models, helping them learn to write better code.
About the Role
We are looking for software engineers with 3+ years of experience to evaluate the quality of AI-generated code, including human-readable summaries of your rationale. Your tasks will include solving coding problems, writing functional and efficient code, and writing robust test cases to confirm code works efficiently and effectively.
What You'll Be Doing
- Evaluating the quality of AI-generated code and providing human-readable summaries of your rationale.
- Solving coding problems and writing functional and efficient code.
- Writing robust test cases to confirm code works efficiently and effectively.
Pay Rates
The compensation rates vary based on location and experience, but we can estimate an average hourly rate of $37.60 USD (based on US location and 50/hr pay rate).
Contract Length
This is a long-term contract with no end date expected for the next 2 years. You can end the contract at any time, but a commitment of 12 months is preferred.
Flexible Schedules
You can set your own hours, but ideal candidates will be interested in spending 40 hours a week on the platform.
Interview Process
The interview process includes applying using the Ashby form and performing a simulated production-level task (RLHF task) on the platform, which will determine your employment and leveling.
Tech Stack Priorities
We prioritize engineers with a Data Science background who know Python well or software engineers well versed in Python.
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 Python.
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, and Shell, C, C#.
- 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 understanding and discussing project requirements.
- A commitment to continuous learning and staying updated with the latest coding advancements and best practices.
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