Software Engineer For Training Ai Data

1 mese fa

Lazio, Italia G2I Inc. A tempo pieno

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are 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. 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.
Solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and engaging with a variety of projects.
Pay Rates Compensation rates vary based on location and experience.

Note: The following rates are starting points and may be subject to change:

US - 50/hr Brazil - 25.40 USD /hr Egypt - 14.60 USD /hr Philippines - 24.20 USD /hr Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want to. You'll get paid weekly per hour of work done on the platform.
Contract Length Long term, there is no end date. They expect to have work for the next 2 years.
You can end the contract at any time. We hope you will commit to 12 months of work, but if you start and it's not a fit for you, we totally understand.
Flexible Schedules Developers can set their own hours—ideal candidates will be interested in spending 40 hours a week. Strong performers will adapt to the urgency of projects and stay engaged, but they will also be incredibly flexible on working hours.
You can take a 3-hour lunch, no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises.
Interview Process Apply using this Ashby form.
If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it.
You'll receive credentials to the RLHF platform. We'll then set up a group call to answer any further questions about onboarding with the company.
You'll perform a simulated production-level task (RLHF task) on the platform. This will be your final interview, which will ultimately determine your employment and leveling. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is engineers with either a Data Science background who know Verilog well or software engineers who are well versed in Verilog.
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 Verilog.
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.
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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