C++ Developer - Internal Tooling & Optimization

C Developer — Internal Tooling & Optimization (AI Training)

About The Role

What if your C expertise could directly shape the infrastructure behind the most advanced AI systems in the world? We're looking for experienced C engineers to design, build, and optimize the internal tooling and data pipelines that power next-generation AI research and production workflows.

This is a fully remote, flexible contract role for engineers who thrive at the intersection of systems performance, data infrastructure, and high-impact technical work. You'll be embedded in real engineering workflows alongside leading AI labs — writing code that matters.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 20–40 hours/week
  
  

What You'll Do

• Design, build, and optimize high-performance C systems supporting AI data pipelines and evaluation workflows
• Develop backend services and full-stack tooling for large-scale data annotation, validation, and quality control
• Improve reliability, performance, and safety across existing production C codebases
• Profile and benchmark code to identify bottlenecks in data processing systems and implement scalable solutions
• Embed scripting languages within C applications to create flexible, extensible internal tools
• Collaborate with data, research, and engineering teams to accelerate model training and evaluation
• Participate in synchronous design reviews to iterate on system architecture and implementation decisions
  
  

Who You Are

• Native or fluent English speaker with strong written and verbal communication skills
• Full-stack developer with a deep systems programming background
• 3–5 years of professional experience writing production-grade C
• Experienced in embedding scripting languages within C applications for flexible tooling
• Skilled at profiling code and identifying performance bottlenecks in data-intensive systems
• Able to commit 20–40 hours per week consistently
• Self-directed and reliable when working in a remote, asynchronous environment
  
  

Nice to Have

• Prior experience with data annotation, data quality, or AI evaluation systems
• Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
• Experience with distributed systems or developer tooling at scale
• Background in systems design for high-throughput or low-latency environments
  
  

Why Join Us

• Work on real production systems alongside top AI research labs — not toy projects
• Fully remote and flexible — structure your work around your life
• Freelance autonomy with the substance of high-impact, technically demanding work
• Contribute directly to infrastructure that shapes the future of AI development
• Potential for ongoing contracts and expanded scope as new projects launch