engineering
Posted Feb 12Full Stack Engineering Specialist - Freelance AI Trainer Project
at Agency
United StatesOn-site
Requirements
- Are you an experienced Full Stack Engineer eager to shape the future of AI? Large-scale language models are evolving rapidly, moving beyond simple chatbots into powerful engines of research, learning, and applied problem-solving.
- With high-quality training data, tomorrow’s AI can provide more accurate, practical, and innovative solutions across industries.
- That training data begins with you—your expertise will help power the next generation of AI.
- You’ll work with cutting-edge AI tools, evaluate and refine code outputs, and provide expert feedback on correctness, efficiency, scalability, and best practices across the stack.
- On a typical day, you will review and annotate AI-generated code, assess outputs for logical and structural soundness, identify and document error patterns, and collaborate with our team to refine prompts, evaluation methods, and engineering guidelines.
- Proficiency in both frontend and backend technologies is required, including strong
- experience with languages such as JavaScript/TypeScript, Python, or Java; frameworks such as React, Node.js, or Django; and databases (SQL/NoSQL).
- Experience in cloud services, CI/CD pipelines, or containerization (Docker/Kubernetes) is a strong plus. Clear communication skills, problem-solving ability, and attention to detail are essential.
- Ready to channel your engineering expertise into building the AI tools of tomorrow? Apply today and help train the model that will support developers and organizations worldwide.
- Job title: Full Stack Engineering Specialist – AI Trainer
Benefits
- We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location.
- Final offer amounts may vary from the pay range listed above.
- benefits such as health insurance and PTO do not apply.
Additional details
- We’re looking for a highly skilled Full Stack Engineering specialist who can bring technical depth, coding expertise, and architectural insight to training data.