Accepted Locations
We are accepting applicants from the US, Canada, and most countries in LATAM and Europe. We are accepting some countries in Africa and Asia. For the full list of accepted locations click here. 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 biggest players in the AI/LLM space today. We are seeking software engineers with 3+ years of experience to train AI large 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. We currently have 200+ roles open!
What Will I Be Doing?
- Evaluating the quality of AI-generated code, including human-readable summaries of your rationale.
- Solving coding problems, writing functional and efficient code.
- Writing robust test cases to confirm code works efficiently and effectively.
- Engaging in a variety of projects, from comparing pieces of Python code to developing full mobile applications and improving chatbot responses.
Pay Rates
- US - 50/hr
- Brazil - 28.70 USD/hr
- Egypt - 22.05 USD/hr
- Philippines - 25.55 USD/hr
- All other Non-US Countries - 35 USD/hr
- Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want to, and you'll get paid on a weekly basis.
Contract Length
- Long term, with no end date expected. Commitment to 12 months is preferred, but you can end the contract at any time.
Flexible Schedules
- Developers can set their own hours. Strong performers will adapt to project urgency while maintaining flexibility.
- You are paid according to time spent on the platform, calculated in coding exercises.
Interview Process
- Apply using the Ashby form.
- If you look like a good fit, we'll send an async RLHF code review that will take 35 minutes and needs to be completed within 72 hours.
- You’ll perform a simulated production-level RLHF task on the platform during your final interview.
Tech Stack Priorities
- The current priority is engineers with either a Data Science background who know Python well or software engineers well-versed in Python.
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 Have's:
- Bachelor's and/or Master’s degree in Computer Science.
- Proficiency in one or more of the following: Java, JavaScript, TypeScript, C++, SQL, Swift, Ruby, Rust, Go, .NET, Matlab, PHP, HTML, DART, R, Apex, Shell, C, C#.
- Recognized accomplishments or contributions to the coding community or in projects.
- Proven analytical skills with a creative approach to problem-solving.
- Adept communication skills for discussing project requirements.
- Commitment to continuous learning and staying updated with coding advancements and best practices.
- Enthusiasm for teaching AI models and experience with technical writing!