Description:

The position is for a Software Developer focused on training AI data using Python.
This is a full-time, remote role available to applicants from the US, Canada, and various countries in LATAM and Europe, as well as some countries in Africa and Asia.
The role involves joining an expert annotation team to create training data for advanced AI models, with no previous AI experience required.
Candidates will evaluate the quality of AI-generated code, solve coding problems, write functional and efficient code, and create robust test cases.
The work includes a variety of projects, such as comparing pieces of Python code and developing mobile applications using chatbots.
Compensation rates vary by location and experience, with starting rates of $50/hr in the US and lower rates in other countries.
The contract is long-term with no end date, and candidates can end the contract at any time, although a commitment of 12 months is preferred.
Developers can set their own hours, with expectations of 15+ hours per week, and flexibility in scheduling is encouraged.
The interview process includes an application, a code review, a group call, and a simulated production-level task.

Requirements:

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

The position offers flexible schedules, allowing developers to set their own hours.
Compensation is paid weekly based on hours worked on the platform.
There is no upper limit on hours worked, with opportunities for 20-40 hours per week or more.
The role provides the chance to work on projects with one of the most prominent players in the AI/LLM space.
Long-term work is expected, with opportunities for continuous learning and engagement in a variety of projects.