Live opening · Posted 26 days ago
At a glance
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About the role
Description supplied by the original job listing.
C++ Developer — Internal Tooling & Optimization (AI Infrastructure)
About The Role
What if your C++ skills could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior C++ Full-Stack Engineer to design, build, and optimize the high-performance tooling and data pipelines that leading AI labs depend on — from annotation systems to evaluation infrastructure.
This is a fully remote, flexible contract role for experienced systems engineers who want meaningful, high-impact work on real production systems.
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
Improve reliability, performance, and safety across existing C++ codebases
Identify bottlenecks and edge cases in data and system behavior, and implement scalable 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
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 with a solid systems programming foundation
Experienced profiling and optimizing code to eliminate bottlenecks in data processing pipelines
Skilled at embedding scripting languages within C++ applications
Native or fluent English speaker with clear written and verbal communication skills
Able to commit 20–40 hours per week with consistency and reliability
Nice to Have
Prior experience with data annotation, data quality, or evaluation systems
Familiarity with AI/ML workflows, model training, or benchmarking pipelines
Experience with distributed systems or developer tooling
Background working alongside research or data science teams
Why Join Us
Work on cutting-edge AI infrastructure projects alongside leading research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, high-impact engineering work
Contribute directly to systems that shape how next-generation AI models are built and evaluated
Potential for ongoing work and contract extension as new projects launch
Work arrangement
Yes
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