Accepted Locations
We accept applicants from the US, Canada, and most countries in Latin America and Europe, as well as select countries in Africa and Asia. For the full list of eligible locations, click the provided link. This is a fully remote role.

Loom Video
Our Founder and CEO, Gabe Greenberg, has recorded a detailed Loom video that we highly recommend watching. You can view it through the link.

Overview
You will join a specialized annotation team that creates training data for advanced AI models. No prior AI experience is required. This is an opportunity to work with a leading organization in the AI and LLM field. We are looking for software engineers with at least three years of experience to help train large language models and improve their code-generation abilities. Projects involve a wide range of tasks where you will interact with models as they learn to code. We currently have more than 200 openings.

What Will I Be Doing?
• Reviewing AI-generated code and providing clear explanations of your reasoning
• Solving coding challenges by writing clean, effective code
• Creating comprehensive test cases to verify code performance
• According to the technical project manager, this includes tackling coding problems, writing instructions, reviewing code before it is used to train the model, and handling a wide variety of tasks—from comparing Python snippets to building full mobile apps using a chatbot and then refining the chatbot’s responses

Pay Rates
Compensation varies by country and experience level.
These rates represent starting points and may change. See the full list via the link.
• US: 50 USD per hour
• Brazil: 25.40 USD per hour
• Egypt: 14.60 USD per hour
• Philippines: 24.20 USD per hour

You are expected to work at least 15 hours per week, with no maximum. Many engineers work 20–40 hours weekly, and some exceed 40. You will be paid weekly for the time spent working on the platform.

Contract Length
• This is a long-term role with no set end date, and work is projected for at least the next two years
• You may end the contract at any time; although a 12-month commitment is preferred, it’s understood if the role isn’t the right fit

Flexible Schedules
• You choose your working hours. While 40 hours per week is ideal, schedules are flexible, and team members are expected to manage project needs responsibly
• Long breaks are acceptable. You are paid based on the time you actively spend completing tasks on the platform, not traditional time tracking

Interview Process
1. Submit an application through the Ashby form
2. If selected, you’ll receive an asynchronous RLHF code review assignment that takes about 35 minutes and must be completed within 72 hours
3. You’ll be given RLHF platform access and invited to a group call to review onboarding details
4. You’ll complete a simulated production RLHF task, which serves as the final interview and determines eligibility and level. Successful completion qualifies you for project opportunities as they arise

Tech Stack Priorities
• The team is currently prioritizing engineers with strong Python skills, especially those with data science backgrounds

Required Qualifications
• At least three years of experience in software engineering or software development
• Full fluency in English
• Ability to clearly explain complex scientific or technical ideas
• Strong attention to detail and consistent writing quality
• Excellent grammar, punctuation, and adherence to style guidelines
• Proficiency in Python

Nice To Haves
• Bachelor’s or Master’s degree in Computer Science
• Experience with languages such as Java, JavaScript, TypeScript, C++, SQL, Swift, Ruby, Rust, Go, .NET, Matlab, PHP, HTML, Dart, R, Apex, Shell, C, or C#
• Notable contributions to the coding community or relevant projects
• Strong analytical and creative problem-solving skills
• Strong communication skills, especially for discussing project requirements
• A commitment to ongoing learning and staying current with new technologies
• Interest in training AI models and experience with technical writing