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

Work arrangement
Yes