**Job Description**
**Job Title:**
.NET Engineer


**Job Type:**
Contract


**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.