Full Time

Systems Software Engineer - Machine Learning Ops

Alignerr

Contract

Technology, Information and Internet

Seattle, WA

$145,000 - $210,000* / year (about $70–$101 an hour)

Job Description

Systems Software Engineer — Machine Learning Ops

About The Role

What if your deep C++ expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a senior systems engineer to build and optimize the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and ship better models.

This is a fully remote, flexible contract role for engineers who thrive at the intersection of systems programming and cutting-edge AI. Real production systems. High-impact work. Serious technical depth.

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 large-scale AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
Improve reliability, performance, and safety across production C++ codebases
Identify and resolve bottlenecks, edge cases, and systemic issues in data and system behavior
Collaborate with data, research, and engineering teams to support model training and evaluation workflows
Participate in synchronous design reviews to iterate on architecture and implementation decisions

Who You Are

Native or fluent English speaker with clear written and verbal communication skills
Full-stack developer with a strong systems programming background
5+ years of professional experience writing production-grade C++
Experienced working with the C++ frontends of ML frameworks or inference runtimes
Familiar with hardware acceleration APIs for optimizing model inference
Able to commit 20–40 hours per week with reliability and consistency

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

Why Join Us

Work directly on cutting-edge AI infrastructure alongside leading research labs
Fully remote and flexible — work when and where you do your best work
Freelance autonomy with the substance of high-impact, technically demanding projects
Contribute to systems that meaningfully shape how next-generation AI models are built and evaluated
Potential for ongoing work and contract extension as new projects launch

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A full-time year is 2,080 hours: $54 an hour is $112,320 a year before taxes, and $108,000 a year is $51.92 an hour. Pay calculator →