Senior C++ Developer for AI Training and Optimization

Alignerr United State
Remote
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AI Summary

Design, build, and optimize high-performance C++ systems for AI data pipelines and evaluation workflows. Collaborate with data, research, and engineering teams to support model training and evaluation. 3-5+ years of professional experience writing production-grade C++.

Key Highlights
Design, build, and optimize high-performance C++ systems
Collaborate with data, research, and engineering teams
3-5+ years of professional experience writing production-grade C++
Key Responsibilities
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
Technical Skills Required
C++ Python Lua Data annotation Data quality pipelines AI evaluation systems Distributed systems Developer tooling at scale
Benefits & Perks
Fully remote and async-friendly
Freelance autonomy with the structure of meaningful, high-impact technical work
Potential for ongoing work and contract extension as projects grow and evolve
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

Job Description


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

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