C++ Developer - Internal Tooling & Optimization

Remote Full-time
C++ Developer β€” Internal Tooling & Optimization (AI Training)

About The Role

What if your C++ expertise could directly shape the infrastructure powering the next generation of AI? We're looking for senior-level C++ engineers to design, build, and optimize the high-performance systems that leading AI labs depend on β€” from data pipelines and annotation tooling to evaluation infrastructure that runs at scale.

This is a fully remote, flexible contract role. If you're a systems-minded engineer who loves squeezing performance out of complex codebases and building tooling that other engineers rely on, this is the work for you.
β€’ Organization: Alignerr
β€’ Type: Hourly Contract
β€’ Location: Remote
β€’ Commitment: 20–40 hours/week

What You'll Do
β€’ Design, build, and optimize high-performance C++ systems supporting AI data pipelines and evaluation workflows
β€’ Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
β€’ Profile and debug existing C++ codebases to identify bottlenecks and implement scalable, reliable fixes
β€’ Embed scripting languages within C++ applications to create flexible, extensible tooling
β€’ Collaborate with data, research, and engineering teams to support model training and evaluation workflows
β€’ Identify edge cases in data and system behavior and drive systematic improvements
β€’ Participate in synchronous design reviews to iterate on architecture and implementation decisions

Who You Are
β€’ 3–5+ years of professional experience writing production-grade C++
β€’ Full-stack developer with a strong systems programming background
β€’ Experienced profiling code and resolving performance bottlenecks in data-intensive environments
β€’ Comfortable embedding scripting languages (e.g., Python, Lua) within C++ applications
β€’ Clear and precise written and verbal communicator β€” you can explain technical decisions concisely
β€’ Native or fluent English speaker
β€’ Able to commit 20–40 hours per week with reliability and consistency

Nice to Have
β€’ Prior experience with data annotation, data quality pipelines, or AI evaluation systems
β€’ Familiarity with AI/ML workflows, model training infrastructure, or benchmarking pipelines
β€’ Experience with distributed systems or developer tooling at scale
β€’ Background in performance engineering or low-latency systems

Why Join Us
β€’ Work directly on production systems used by leading AI research labs
β€’ Fully remote and async-friendly β€” work from wherever you're most productive
β€’ Freelance autonomy with the structure of meaningful, high-impact technical work
β€’ Contribute to infrastructure that shapes the future of AI development
β€’ Potential for ongoing work and contract extension as projects grow and evolve

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