Full Stack Software Engineer (Remote)
Role: Full Stack Software Engineer (Remote) Location: Remote (Work from Anywhere) * Payout: Competitive Role Overview: We are hiring for one of our clients, seeking a Senior Software Engineer – C#(LLM Evaluation & Repository Validation) to work on a part-time basis.
Skills
About This Role
Overview
- **Role**
: Full Stack Software Engineer (Remote)
- **Location**
- : Remote (Work from Anywhere)
- **Payout**
- : Competitive
Role Overview
We are hiring for one of our clients, seeking a Senior Software Engineer – C#(LLM Evaluation & Repository Validation) to work on a part-time basis.
This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality, with a focus on LLM evaluation and repository validation in the technology industry.
The successful candidate will have the opportunity to work on realistic software engineering problems, contributing to the development of LLM evaluation and training datasets.
This project aims to build verifiable software engineering tasks based on public repository histories, expanding dataset coverage to different types of tasks in terms of programming language, difficulty level, and more.
Key Responsibilities
- :
- Analyze and triage GitHub issues across trending open-source libraries to identify areas for improvement and contribute to the development of LLM evaluation and training datasets.
- Set up and configure code repositories, including dockerization and environment setup, to ensure seamless development and testing.
- Evaluate test coverage and quality to ensure high-quality public GitHub repositories and contribute to the project's goals.
- Develop automation scripts to streamline development environment setup and issue triaging, improving overall efficiency and productivity.
- Collaborate with the team to expand dataset coverage to different types of tasks in terms of programming language, difficulty level, and more, driving the project's success.
Required Skills & Qualifications
- Strong proficiency in C# programming language, with experience in software engineering and development environment automation, is required to successfully contribute to the project.
- Experience with high-quality public GitHub repositories and knowledge of GitHub issues and repository management is necessary to analyze and triage issues effectively.
- Strong understanding of software engineering principles, including testing, debugging, and version control, is essential for evaluating test coverage and quality.
- Ability to work independently and collaboratively as part of a distributed team, with excellent communication and problem-solving skills, is critical to the project's success.
- Familiarity with LLM evaluation and repository validation, as well as experience with machine learning and AI research, is desirable to drive the project's goals and objectives.
More About the Opportunity
This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of LLM evaluation and training datasets and driving the advancement of AI-assisted software development.
The successful candidate will have the chance to work on realistic software engineering problems, influencing the future of AI-assisted software development and expanding their skills and expertise in a rapidly growing field.
With a focus on innovation and collaboration, this role provides a platform for professional growth and development, allowing the candidate to make a meaningful impact in the industry.
Equal Opportunity Employer
We hire based on skills and expertise.
All qualified candidates are welcome regardless of background, experience, or prior employment history.
Applications are reviewed solely on demonstrated technical ability and qualifications.
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