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C++ Developer - Internal Tooling & Optimization

$50-75/hrRemoteFreelanceCODING

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