C++ Developer - Internal Tooling & Optimization
C++ Developer — Internal Tooling & Optimization (AI Infrastructure) About The Role What if your C++ expertise could directly shape the infrastructure that powers the world's most advanced AI systems? We're looking for a Senior C++ Full-Stack Engineer to build and optimize the high-performance tooling, data pipelines, and evaluation systems that leading AI labs depend on every day. This is a fully remote contract role working on real production systems — not toy projects. You'll collaborate with data, research, and engineering teams at the frontier of AI development, tackling genuinely hard systems problems with meaningful impact.
- 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 full-stack tooling and backend services for large-scale data annotation, validation, and quality control
- Profile and refactor existing C++ codebases to eliminate bottlenecks and improve reliability, performance, and safety
- Embed scripting languages within C++ applications to create flexible, extensible internal tools
- Identify edge cases and failure modes in complex data and system behavior — then implement scalable fixes
- Collaborate with research and engineering teams to align tooling with model training and evaluation needs
- Participate in synchronous design reviews to iterate on system architecture and implementation decisions
Who You Are
- 3–5+ years of professional experience writing production-grade C++
- Strong full-stack developer background with a deep systems programming foundation
- Experienced at embedding scripting languages (Python, Lua, etc.) within C++ applications to build flexible tooling
- Skilled at profiling and optimizing data processing pipelines — you know where the slowdowns hide
- Clear, confident communicator in written and verbal English
- Self-directed and reliable — you can deliver quality work with minimal hand-holding
- Able to commit 20–40 hours per week on a consistent basis
Nice to Have
- Prior experience with data annotation, data quality pipelines, or evaluation systems
- Familiarity with AI/ML workflows, model training infrastructure, or benchmarking pipelines
- Experience with distributed systems, developer tooling, or internal platform engineering
- Background contributing to or reviewing large, long-lived C++ codebases
Why Join Us
- Work directly on cutting-edge AI infrastructure alongside leading research labs
- Fully remote and async-friendly — work from wherever you do your best work
- Freelance autonomy paired with meaningful, technically challenging assignments
- Make a tangible impact on the systems that train and evaluate next-generation AI models
- Potential for ongoing work and contract extension as new projects launch
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