Systems Software Engineer - Machine Learning Ops
Alignerr • Remote • Posted 0 days ago
Education
Any
Type
Pay Rate
$62.5/task
Posted
0d ago
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About this Role
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
- Improve reliability, performance, and correctness across existing C++ codebases
- Collaborate with data, research, and engineering teams to support model training and evaluation at scale
- Identify bottlenecks and edge cases in data and system behavior — then implement scalable, production-grade fixes
- Participate in synchronous design reviews to iterate on architecture and implementation decisions
About the Role
What if your C++ expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for senior systems engineers to build and optimize the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and ship next-generation models. This is a fully remote, flexible contract role for engineers who care about performance, reliability, and working on systems that genuinely matter. You'll be embedded in real production workflows alongside top-tier research and engineering teams.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
Who You Are
- 5+ years of professional experience writing production-grade C++
- Full-stack developer with a strong systems programming background
- Experience working with the C++ frontends of ML frameworks or inference runtimes
- Familiar with hardware acceleration APIs for optimizing model inference
- 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, or benchmarking pipelines
- Experience with distributed systems or developer tooling
- Background in systems performance profiling and optimization
Why Join Us
- Work on production systems that directly influence the capabilities of frontier AI models
- Collaborate with engineers and researchers at leading AI labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure and purpose of high-stakes engineering work
- Potential for ongoing engagement and expanded scope as new projects launch
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Software Engineering
Eligible Languages
Fluent proficiency in English
Compensation Analysis
What if your C++ expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for senior systems engineers to build and optimize the data pipelines, annotation tooling, and evaluation infrastructure that leading AI labs depend on to train and ship next-generation models. This is a fully remote, flex
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Frequently Asked Questions
What is the assessment actually like?
Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.
How quickly can I start earning after I pass?
Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.
Is there a community?
Yes — and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the barrier to entry?
Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.