Prediction Market Expert (AI Research) About the Role We're looking for sharp, analytically minded individuals to join a remote AI research project focused on structured forecasting and probability analysis.
Systems Software Engineer - Machine Learning Ops
Remote (Global)
$50 – $75/hr
June 26, 2026
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
Apply now
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