C++ Developer - Internal Tooling & Optimization

C++ Developer — Internal Tooling & Optimization (AI Infrastructure)

About the Role

What if your systems programming skills could directly shape the infrastructure powering the next generation of AI? We're looking for senior C++ engineers to design and build the high-performance tooling, data pipelines, and evaluation systems that leading AI labs depend on to train and improve their models.

This is a fully remote, flexible contract role for experienced engineers who want to work on meaningful, high-impact systems — not maintenance tickets and tech debt. You'll be embedded in real production workflows alongside top research and engineering teams.

• 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 tune existing C++ codebases — hunting down bottlenecks, eliminating edge cases, and improving reliability at scale
• Embed scripting languages within C++ applications to create flexible, extensible internal tooling
• Collaborate with data, research, and engineering teams to support model training and evaluation infrastructure
• Participate in synchronous design reviews to iterate on architecture and implementation decisions

Who You Are

• 3–5+ years of professional experience writing production-quality C++
• Strong full-stack development background with a deep foundation in systems programming
• Experienced profiling and optimizing code for performance in data-intensive environments
• Comfortable embedding scripting languages (Python, Lua, or similar) within C++ applications
• Native or fluent English speaker with clear written and verbal communication skills
• Able to commit 20–40 hours per week consistently

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 architecture or developer tooling
• Background working directly with AI research teams or production ML infrastructure

Why Join Us

• Work on cutting-edge AI 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 the infrastructure shaping how next-generation AI is built and evaluated
• Potential for ongoing work and contract extension as new projects launch