.Accepted LocationsWe accept applicants from the US, Canada, and most countries in LATAM and Europe. We are accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote.OverviewYou'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. 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, including solving coding challenges and reviewing code before it goes into the model.Pay RatesCompensation rates vary based on location and experience. Note: The following rates are starting points and may be subject to change:US - 50/hrBrazil - 25.40 USD/hrEgypt - 14.60 USD/hrPhilippines - 24.20 USD/hrExpectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want to and will get paid weekly per hour of work done on the platform.Contract LengthLong term, with no end date expected. They anticipate work for the next 2 years.You can end the contract at any time. Commitment to 12 months of work is preferred, but if it's not a fit, we understand.Flexible SchedulesDevelopers can set their own hours. While ideal candidates will be interested in spending 40 hours a week, strong performers will adapt to project urgency.Work hours are flexible, including extended lunch breaks, with pay calculated based on time spent on the platform.Interview ProcessApply using the Ashby form.If you seem like a good fit, we will send an async RLHF code review that will take 35 minutes and must be finished within 72 hours.You will receive credentials to the RLHF platform and we will set up a group call for any further onboarding questions.Your final interview will involve a simulated production-level task on the platform, which will determine your employment and leveling.Tech Stack PrioritiesThe current priority is engineers with a Data Science background who know Python well or software engineers proficient 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 consistency in writing