Software Engineer For Ai Training Data (Tier 2)

Detalles de la oferta

.**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.**Loom Video**Our Founder/CEO, Gabe Greenberg, created a more in-depth Loom video that we highly recommend you watch! Check it out here: Loom Video**Overview**Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. This is a great opportunity to get your foot in the door with one of the biggest players in the AI/LLM space today. We are seeking eager-to-learn future developers who want 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.**What Will I Be Doing?**- Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. You will not be writing code.- This role is 100% RLHF (Reinforcement Learning from Human Feedback) and is not a traditional software engineer role. Attention to detail, reading documentation, and being able to fully explain your reasoning when comparing code samples is essential.**Pay Rates**- ** US Based**: $30 USD/hr- ** Non-US Based**: $20 USD/hr for most countries (see full breakdown here)**Opportunity to Advance to Tier 3**:- Tier 3 roles pay significantly more: $50 USD/hr for US-based developers and $35 USD/hr in most other countries (see full breakdown here).- Tier 3 positions are awarded based on the availability of Tier 3 projects and your performance in Tier 2 tasks.- Expectations are 15+ hours per week; however, there is no upper limit. We have engineers working 20-40 hrs per week and some working 40+ hours per week. You can work as much as you want. You'll get paid on a weekly basis per hour of work done on the platform.**Contract Length**- The contract is long-term with no end date.- You can end the contract at any time. Our hope is that you would commit to 6 months of work, but if you start and it's not a fit for you, we totally understand.**Flexible Schedules**You are expected to work 15+ hours a week with the ability to work 40+ hours. Developers can set their own hours. Take a 3-hour lunch, no problem. You are paid according to time spent on the platform, which is calculated in the coding exercises, as opposed to tracking your own hours.**Interview Process**- If you look like a good fit, we'll send an async RLHF code review that will take 35 minutes and needs to be finished within 72 hours of us sending it.- You'll receive credentials to the RLHF platform. We'll set up a group call to answer further questions about onboarding with the company.- You'll perform a simulated production-level RLHF task on the platform


Salario Nominal: A convenir

Fuente: Jobtome_Ppc

Requisitos

Monitorista Cctv

Importante empresa de seguridad privada solicita "Monitorista CCTV" con alto liderazgo, manejo de estrés, planeación y organización, alta proactividad, comun...


Seguridad Total En Accion S.A. De C.V. - Guanajuato

Publicado 9 days ago

Desarrollador/A Shopify - Desarrollador Senior

Desarrollador Shopify PlusPerfil:Ing. en Sistemas, Informática, ciencias de la computación o afínInglés intermedio – avanzadoExperiencia como Desarrollador S...


Ticnix - Guanajuato

Publicado 9 days ago

Maintenance Technician Jr

La empresa The thyssenkrupp Business Unit Dynamic Components is one of the leading automotive suppliers and development partners for highly complex drive tec...


Thyssenkrupp Components Technology De México, S.A. De C.V. - Guanajuato

Publicado 8 days ago

Auxiliar De Sistemas

Por apertura del Hotel Cleviá en San Miguel de Allende solicitamos Auxiliar de Sistemas encargado de:Supervisar y mantener funcionando los sistemas informáti...


Cleviá San Miguel De Allende - Guanajuato

Publicado 8 days ago

Built at: 2024-11-14T05:59:39.288Z