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 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 — 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.

• 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 debug existing C++ codebases to identify bottlenecks and implement scalable, reliable fixes
• Embed scripting languages within C++ applications to create flexible, extensible tooling
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows
• Identify edge cases in data and system behavior and drive systematic improvements
• Participate in synchronous design reviews to iterate on architecture and implementation decisions

Who You Are

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

Nice to Have

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

Why Join Us

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