.NET Engineer

Job Title: .NET Engineer

Job Type: Contractor

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

• Leverage your deep knowledge of .NET and C# to provide domain-specific feedback and solutions to diverse technical challenges.
• Evaluate, analyze, and enhance model outputs related to .NET, C#, AWS, and Azure ecosystems.
• Collaborate remotely with a global team of experts, contributing your insights to drive continuous improvement of AI systems.
• Write, review, and optimize code snippets, architectural diagrams, and technical documentation to ensure high-quality input data for AI training.
• Share best practices related to scalable backend development, cloud integration, and modern application design.
• Communicate complex technical concepts clearly in written and verbal form to both technical and non-technical stakeholders.
• Identify potential gaps in model understanding and suggest solutions based on real-world engineering experience.

Required Skills and Qualifications:

• Extensive hands-on experience with .NET and C# in production environments.
• Demonstrated expertise with AWS and Azure cloud platforms.
• Strong problem-solving skills and the ability to break down complex technical issues.
• Exceptional written and verbal communication skills, with a keen attention to detail.
• Ability to work independently in a remote setting while collaborating effectively with the customer’s team.
• Proven track record of delivering high-quality, maintainable solutions for backend systems.
• Up-to-date knowledge of industry standards, tools, and frameworks in the .NET ecosystem.

Preferred Qualifications:

• Prior experience contributing to AI, machine learning, or data-driven projects.
• Experience working with distributed teams on large-scale cloud applications.
• Familiarity with DevOps practices and CI/CD pipelines in .NET environments.