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