Software Engineer for AI Data Annotation
hace 1 mes
We are seeking a skilled Software Engineer to join our expert annotation team and contribute to the creation of training data for the world's most advanced AI models.
Job Description:Overview
You will work with our team to evaluate the quality of AI-generated code, solve coding problems, and write robust test cases to confirm code works efficiently and effectively.
Responsibilities:
- Evaluate the quality of AI-generated code and provide human-readable summaries of your rationale.
- Solve coding problems and write functional and efficient code.
- Write robust test cases to confirm code works efficiently and effectively.
- Solve coding challenges and create instructions to help others.
- Review code before it goes into the model.
Requirements:
- 3+ years of experience in a software engineering/software development role.
- Complete fluency in the English language.
- Ability to articulate complex scientific concepts clearly and engagingly.
- Excellent attention to detail and ability to maintain consistency in writing.
- Solid understanding of grammar, punctuation, and style guidelines.
- Proficiency with Python.
Preferred Qualifications:
- Bachelor's or Master's degree in Computer Science.
- Proficiency in working with one or more of the following: Java, JavaScript, TypeScript, C++, SQL, Swift, Ruby, Rust, Go, NET, Matlab, PHP, HTML, DART, R, Apex, and Shell, C, C#.
- Recognized accomplishments or contributions to the coding community or in projects.
- Proven analytical skills with an ability to approach problems creatively.
- Adept communication skills, especially when understanding and discussing project requirements.
- A commitment to continuous learning and staying updated with the latest coding advancements and best practices.
- Enthusiasm for teaching AI models and experience with technical writing.
Compensation and Benefits:
Compensation rates vary based on location and experience. You will be paid weekly per hour of work done on the platform.
Contract Length:
Long term, there is no end date. You can end the contract at any time.
Flexible Schedules:
Developers can set their own hours. You can take a 3-hour lunch, no problem.
Interview Process:
Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it.
Tech Stack Priorities:
The current priority for this team is engineers with either a Data Science background who know Python well or software engineers who are well versed in Python.
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