Job Title: DevOps Engineer
Location : Remote - United States
Type: Full Time
Our client, a leading organization in AI innovation, is dedicated to advancing the intelligence and safety of large language models (LLMs). By collaborating with top AI research labs, they leverage expert human feedback to enhance model performance and drive meaningful advancements in artificial intelligence.
They are currently seeking skilled programming professionals to contribute to the development and refinement of next-generation AI systems through a flexible, remote working environment.
Role Overview
In this role, the selected candidate will help improve AI models by designing and evaluating complex programming scenarios. The position involves creating technical content, assessing AI-generated outputs, and providing structured feedback to improve accuracy and efficiency.
Key Responsibilities
- Create and solve programming and computer science problems to train and enhance AI systems
- Evaluate AI-generated code for correctness, performance, and quality
- Rank outputs based on efficiency and accuracy
- Provide clear, constructive, and detailed feedback to refine model responses
- Contribute to improving AI understanding of complex coding logic and problem-solving techniques
Required Qualifications
- Bachelor’s degree or higher in Computer Science from a recognized institution
- Proficiency in one or more programming languages such as Python, Java, JavaScript, or C++
- Fluency in both Spanish and English with the ability to clearly explain technical concepts
- Strong technical writing skills, including grammar, clarity, and documentation standards in both languages
Preferred Qualifications
- 1+ year of experience as a Software Engineer, Backend Developer, or Full Stack Developer
- Practical experience working on real-world programming challenges
Why Join Our Client
- Opportunity to contribute to cutting-edge AI advancements
- Flexible, remote work model
- Collaboration with global experts in AI and technology
- Focus on transparency, reliability, and a positive contributor experience