Remote Software Engineer for Training AI Data in Hindi Language, Swift
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Description:
The position is for a Software Engineer focused on training AI data in the Hindi language, specifically using Swift.
This is a remote contract role available to candidates from various locations, including the US, Canada, LATAM, Europe, and select countries in Africa and Asia.
The role involves joining an expert annotation team to create training data for advanced AI models, with no prior 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 code and developing mobile applications using chatbots.
Compensation rates range from $30/hr to $50+/hr, with expectations of 15+ hours per week and no upper limit on hours worked.
The contract is long-term with no specified end date, and candidates can terminate the contract at any time.
Flexible working hours are offered, allowing developers to set their own schedules and take breaks as needed.
The interview process includes an application, a code review, a group call for onboarding questions, 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 Swift is mandatory.
Benefits:
The position offers competitive pay rates averaging $30/hr, with potential to earn $50+/hr.
There is flexibility in work hours, allowing candidates to set their own schedules and work as much as they want.
The contract is long-term, with expected work availability for the next two years.
Candidates can end the contract at any time, with a preference for a 12-month commitment.
Weekly payment is provided based on hours worked on the platform.