Remote Software Engineer for Training AI Data (Verilog)

Description:

• The position is for a Software Engineer focused on training AI data, specifically using Verilog.
• This is a remote role open to applicants from the US, Canada, and various countries in LATAM and Europe, as well as some countries in Africa and Asia.
• The job 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 and provide human-readable summaries of their rationale.
• Responsibilities include solving coding problems, writing functional and efficient code, and creating robust test cases.
• The role offers a variety of projects, including comparing pieces of Verilog code and developing mobile applications using chatbots.
• Compensation rates vary by location and experience, with starting rates provided for different countries.
• The contract is long-term with no set end date, and candidates can end the contract at any time.
• Flexible schedules are available, 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 with Verilog is mandatory.
• Nice to have qualifications include a Bachelor's or Master’s degree in Computer Science and proficiency in additional programming languages such as Java, JavaScript, TypeScript, C++, SQL, and others.
• Recognized accomplishments in the coding community and proven analytical skills are advantageous.
• Strong communication skills and a commitment to continuous learning are preferred.

Benefits:

• The position offers flexible working hours, allowing candidates to work as much as they want.
• Compensation is paid weekly based on hours worked on the platform.
• There is a long-term contract expectation with work anticipated for the next two years.
• Candidates can take breaks as needed, including extended lunch hours.
• The role provides an opportunity to work on projects as they become available after successful completion of the interview process.