Software Engineer for AI Data Annotation
hace 15 horas
We are seeking a skilled Software Engineer to join our expert annotation team and contribute to the creation of high-quality training data for cutting-edge AI models.
Job Description:Overview:
You will work with our team to develop and maintain large AI language models, helping to improve their ability to generate high-quality code. Your tasks will include evaluating the quality of AI-generated code, solving coding problems, and writing robust test cases.
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.
- Engage in a variety of projects, from evaluating code snippets to developing full applications.
Compensation and Expectations:
We offer competitive compensation rates based on location and experience. You can expect to work 15+ hours per week, with no upper limit. You will be paid weekly per hour of work done on the platform.
Contract Length:
Our contract is long-term, with no end date. We expect to have work for the next 2 years, and we hope you will commit to 12 months of work.
Flexible Schedules:
You can set your own hours, ideally spending 40 hours a week. You can take a 3-hour lunch, and you are paid according to time spent on the platform, calculated in the coding exercises.
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. You'll perform a simulated production-level task (RLHF task) on the platform as your final interview.
Tech Stack Priorities:
The current priority for this team is engineers with either a Data Science background who know Swift well or software engineers who are well versed in Swift.
Required Qualifications:
- 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 Swift.
Nice To Haves:
- Bachelor's or Master's degree in Computer Science.
- Proficiency in one or more of the following: Java, JavaScript, TypeScript, C++, SQL, Ruby, Rust, Go,.NET, Matlab, PHP, HTML, DART, R, Apex, and Shell.
- Recognized accomplishments or contributions to the coding community.
- Proven analytical skills with an ability to approach problems creatively.
- Adept communication skills, especially when discussing project requirements.
- A commitment to continuous learning and staying updated with the latest coding advancements.
- Enthusiasm for teaching AI models and experience with technical writing.
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