Senior C++ Full-Stack Engineer — AI Data & Infrastructure
Alignerr • Remote • Posted 35 days ago
Education
Any
Type
Pay Rate
$62.5/task
Posted
35d ago
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About this Role
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
- Improve reliability, performance, and memory safety across existing production C++ codebases
- Identify bottlenecks and edge cases in system and data behavior — then implement scalable, production-ready fixes
- Collaborate with data, research, and engineering teams to accelerate model training and evaluation
- Participate in synchronous design reviews to iterate on architecture and implementation decisions
About the Role
What if your systems programming expertise could directly shape the infrastructure powering the world's most advanced AI models? We're looking for Senior C++ Engineers to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation AI. This is a fully remote, flexible contract role for engineers who write clean, fast, production-grade C++ and want to work on problems that genuinely matter.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
Who You Are
- Full-stack developer with a strong systems programming background
- 3–5+ years of professional experience writing production C++, with a focus on modern standards (C++17 or C++20)
- Deep familiarity with performance optimization, concurrency (threading, atomics), and memory safety (RAII, smart pointers, sanitizers)
- Native or fluent English speaker with clear written and verbal communication skills
- Able to commit 20–40 hours per week with professional reliability
- Self-directed and effective when working independently in a remote environment
Nice to Have
- Prior experience with data annotation, data quality systems, or evaluation pipelines
- Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
- Experience with distributed systems or developer tooling
- Exposure to working with research teams or in fast-moving technical environments
Why Join Us
- Work directly with leading AI labs on production systems that power cutting-edge research
- Fully remote and flexible — work when and where you're most productive
- Freelance autonomy with the substance of meaningful, high-impact engineering work
- Tackle genuinely hard technical problems with real consequences for AI development
- Potential for ongoing work and contract extension 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 STEM
Eligible Languages
Fluent proficiency in English
Compensation Analysis
What if your systems programming expertise could directly shape the infrastructure powering the world's most advanced AI models? We're looking for Senior C++ Engineers to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve next-generation AI. This is a
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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.
Is this just labeling data?
No. This is closer to academic research. You will likely be writing or verifying complex proofs, solving advanced equations, or checking the logic of a model's step-by-step reasoning. The goal is to teach AI systems to reason deeply in your field.
Do I need a PhD?
For the highest pay tiers in this category, a PhD (or current enrollment) is usually expected. However, the most important factor is your ability to pass the domain assessment. If you can solve the problems, the degree is secondary.
Is the work continuous?
Work in niche fields is often project-based. A specific "campaign" (e.g., training a model on Quantum Mechanics) might last for a few weeks. It is best to treat this as a high-paying fellowship or grant rather than a permanent daily job.
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.