Remote Software Engineer for Training AI Data (C#, C++)
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Description:
The position is for a Software Engineer focused on training AI data using C# and C++.
This is a fully remote role open to applicants from the US, Canada, and various countries in LATAM, Europe, Africa, and Asia.
The engineer will join an expert annotation team to create training data for advanced AI models, with no prior AI experience required.
Responsibilities include evaluating the quality of AI-generated code, solving coding problems, writing functional and efficient code, and creating robust test cases.
The role involves a variety of projects, such as comparing pieces of 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.
Flexible schedules are offered, allowing developers to set their own hours and work as much as they want.
The interview process includes an application, a code review, 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 C# or C++ is mandatory.
Benefits:
The position offers flexible working hours, allowing developers to set their own schedules.
Compensation is paid weekly based on hours worked on the platform.
There is an expectation of 15+ hours of work per week, with no upper limit on hours.
The contract is long-term, with work expected to be available for the next two years.
Candidates can end the contract at any time, with a preference for a 12-month commitment.
The role provides an opportunity to work on projects as they become available after successful completion of the interview process.