Remote Software Engineer for Training AI Data - Python, Asian Languages at G2i Inc.

Description:

You will join an expert annotation team to create training data for advanced AI models.
No previous AI experience is necessary; this position is an entry point into the AI/LLM space.
The role requires software engineers with 3+ years of experience to train large AI language models.
You will evaluate the quality of AI-generated code and provide human-readable summaries of your rationale.
Your tasks will include solving coding problems, writing functional and efficient code, and creating robust test cases.
The projects involve a variety of coding challenges, such as comparing Python code and developing mobile applications using chatbots.
The position is fully remote, and you can work from various accepted locations.
Compensation is based on hours worked, with expectations of 15+ hours per week, and the potential to work 40+ hours.
The contract is long-term with no end date, and you can terminate it at any time.
Flexible schedules allow you to set your own hours, with a focus on productivity rather than strict time tracking.
The interview process includes an application, a code review, and a simulated production-level task.

You must have 3+ years of experience in a software engineering or software development role.
Complete fluency in the English language is required.
You should be able to articulate complex scientific concepts clearly and engagingly.
Excellent attention to detail and consistency in writing is essential.
A solid understanding of grammar, punctuation, and style guidelines is necessary.
Proficiency in Python is required.

You will be paid weekly based on the hours worked on the platform.
There is no upper limit on hours, allowing for flexible work arrangements.
The position offers long-term work with the expectation of projects available for the next two years.
You can take breaks as needed, including extended lunch periods.
The role provides an opportunity to work with cutting-edge AI technology and contribute to significant projects in the field.