Software Engineer - Remote | $50 -$120/hr
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7 days ago
Role details
Contract type
Permanent contract Employment type
Part-time (≤ 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 250KJob location
Remote
Tech stack
JavaScript
Artificial Intelligence
Software Quality
Code Review
Software Debugging
Github
Python
Machine Learning
Open Source Technology
Performance Tuning
Software Engineering
TypeScript
Machine Learning Operations
Go
Job description
This role focuses on advanced software engineering and code evaluation to improve AI model performance. Work involves reviewing production-level code, ensuring high standards in quality, security, and performance across modern engineering environments., * Identify, debug, and resolve complex issues across Python, JavaScript/TypeScript, and Go codebases
- Build, review, and optimize CI/CD pipelines for efficient deployment and testing
- Apply security best practices and performance optimization techniques across systems
- Collaborate via GitHub, providing clear and actionable technical feedback
- Document findings and communicate insights effectively
- Contribute to AI model training initiatives focused on improving development workflows
Requirements
- Python, JavaScript, TypeScript, Go
- Code review & PR evaluation
- GitHub workflows
- Code quality standards
- Debugging & issue identification
- Performance optimization
- Security best practices
- CI/CD pipelines, Must-Have:
- 5+ years of professional software engineering experience
- Strong expertise in Python, JavaScript/TypeScript, and Go
- Proven experience in code review and PR evaluation (open-source or production systems)
- Proficiency with GitHub workflows in real-world environments
- Advanced debugging and problem-solving skills
- Deep understanding of code quality, security, and performance optimization
- Experience building and maintaining CI/CD pipelines
- Excellent written and verbal communication skills (English)
Nice-to-Have
- Experience with AI/ML systems or model training workflows
- Active contributor or maintainer in open-source projects
- Based in the US, Canada, LATAM, or the UK