At a Glance
- Tasks: Design and build high-performance backend systems for AI data pipelines.
- Company: Join Alignerr, a leader in AI infrastructure development.
- Benefits: Fully remote work, flexible hours, and freelance autonomy.
- Other info: Opportunity for ongoing work and contract extension as new projects launch.
- Why this job: Make a real impact on cutting-edge AI projects with leading research labs.
- Qualifications: 5+ years in C# backend development and strong systems programming skills.
The predicted salary is between 50 - 70 € per hour.
About The Role
What if your C# expertise could directly shape the infrastructure powering the next generation of AI? We're looking for a Senior Backend Engineer to design and build the high-performance data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models. This is a fully remote contract role with meaningful technical scope. You'll work on real production systems — not toy projects — alongside data, research, and engineering teams at the frontier of AI development.
What You'll Do
- Design, build, and optimize high-performance backend systems in C# supporting AI data pipelines and evaluation workflows
- Develop backend services and tooling for large-scale data annotation, validation, and quality control
- Build and maintain RESTful APIs and RPC services for reliable inter-service communication
- Integrate with cloud-native data services and orchestrate workflows via message bus architectures
- Improve reliability, performance, and safety across existing C# codebases
- Identify bottlenecks and edge cases in data and system behavior, then implement scalable, durable fixes
- 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
- 5+ years of professional experience building scalable backend services in C#
- Strong systems programming background with full-stack exposure
- Mastery of modern frameworks for building RESTful APIs and RPC services
- Experienced with cloud-native data services and message bus / event-driven architectures
- Native or fluent English speaker with clear written and verbal communication skills
- Self-directed and reliable — able to commit 20–40 hours per week and deliver consistently
- Sharp eye for performance bottlenecks, edge cases, and system-level failure modes
Nice to Have
- Prior experience with data annotation, data quality pipelines, or model evaluation systems
- Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
- Experience with distributed systems, developer tooling, or data orchestration platforms
Why Join Us
- Work on cutting-edge AI infrastructure projects alongside leading research labs
- Fully remote and flexible — work from anywhere, on a schedule that suits you
- Freelance autonomy with the structure and purpose of high-impact engineering work
- Make a direct, tangible contribution to the systems that shape how AI models are built and evaluated
- Potential for ongoing work and contract extension as new projects launch
Senior Backend Engineer (C#) - AI Data Platform employer: Alignerr
Alignerr is an exceptional employer for Senior Backend Engineers, offering the unique opportunity to work on cutting-edge AI infrastructure projects in a fully remote and flexible environment. With a strong focus on meaningful technical contributions, employees enjoy freelance autonomy while collaborating with leading research labs, ensuring both professional growth and the chance to make a tangible impact in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Backend Engineer (C#) - AI Data Platform
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with AI or backend systems. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your C# projects, especially those related to backend services or AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail — they want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Backend Engineer (C#) - AI Data Platform
Some tips for your application 🫡
Show Off Your C# Skills:Make sure to highlight your experience with C# in your application. We want to see how you've built scalable backend services and tackled performance bottlenecks. Don’t hold back on the details!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or experiences that relate to AI data pipelines or RESTful APIs. This shows us you’re genuinely interested and have the right background.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant. Let your skills shine through without unnecessary fluff!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Alignerr
✨Know Your C# Inside Out
Make sure you brush up on your C# skills before the interview. Be ready to discuss your experience with building scalable backend services and any specific frameworks you've used for RESTful APIs. They’ll likely ask you about performance bottlenecks, so have some examples ready!
✨Familiarise Yourself with AI Data Pipelines
Since this role focuses on AI data platforms, it’s crucial to understand how data pipelines work. Research common challenges in data annotation and validation, and think about how you’ve tackled similar issues in your past projects. This will show that you’re not just a coder but someone who understands the bigger picture.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your systems programming background. Practice explaining your thought process when designing backend systems and how you approach integrating cloud-native services. Being able to articulate your design decisions clearly will impress the interviewers.
✨Show Your Collaborative Spirit
This role involves working closely with data, research, and engineering teams. Be prepared to discuss how you’ve collaborated in the past, especially in synchronous design reviews. Highlight your communication skills and how you ensure everyone is on the same page during projects.
