Remote Software Engineer for Training AI Data - Python, German Language
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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.
Responsibilities include evaluating the quality of AI-generated code and providing human-readable summaries of your rationale.
You will solve coding problems and write functional and efficient code.
Writing robust test cases to confirm code efficiency and effectiveness is also part of the job.
The projects involve a variety of tasks, such as comparing pieces of Python code and developing full mobile applications using chatbots.
The hourly rate is $26.67, with expectations of 15+ hours per week, and no upper limit on hours worked.
The contract is long-term with no end date, and you can end it at any time.
Flexible schedules allow developers to set their own hours, with a preference for those interested in working 40 hours a week.
The interview process includes an application, a code review, a group call, and a simulated production-level task.
Requirements:
A minimum of 3 years of experience in a software engineering or software development role is required.
Complete fluency in the English language is necessary.
You must be able to articulate complex scientific concepts clearly and engagingly.
Excellent attention to detail and the ability to maintain consistency in writing are essential.
A solid understanding of grammar, punctuation, and style guidelines is required.
Proficiency in Python is mandatory.
Benefits:
The position offers a flexible work schedule, allowing you to set your own hours.
You will be paid weekly based on the hours worked on the platform.
There is an opportunity for long-term employment with work expected for the next 2 years.
You can work as much as you want, with some engineers working 20-40 hours or more per week.
The company encourages a commitment to continuous learning and staying updated with the latest coding advancements and best practices.