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Software Developer for Training AI Data
1 mese fa
Accepted Locations
We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. This work is 100% remote.
Overview
You’ll join an expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We seek software engineers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code.
What Will I Be Doing?
Evaluating the quality of AI-generated code, including human-readable summaries of your rationale.
Solving coding problems and writing functional and efficient code.
Writing robust test cases to confirm code works efficiently and effectively.
Engaging in a variety of projects, including solving coding challenges and creating instructions to help others.
Pay Rates
Compensation rates vary based on location and experience. Expectations are 15+ hours per week; however, there is no upper limit. You'll get paid weekly per hour of work done on the platform.
US - 50/hr
Brazil - 25.40 USD /hr
Egypt - 14.60 USD /hr
Philippines - 24.20 USD /hr
Contract Length
Long term, with no end date expected for the next 2 years.
You can end the contract at any time, though a commitment to 12 months is preferred.
Flexible Schedules
Developers can set their own hours, ideally aiming for 40 hours a week.
You can take a flexible lunch, and hours are tracked based on time spent on the platform.
Interview Process
Apply using this Ashby form.
If you seem like a good fit, we'll send an async RLHF code review that must be finished within 72 hours.
You'll perform a simulated production-level task on the platform, which will determine your employment and leveling.
Tech Stack Priorities
Engineers with either a Data Science background who know Python well or software engineers well-versed in Python are prioritized.
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 Python.
Nice To Haves:
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
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