Backend Developer - AI Data Services

Alignerr Corp.; New York (NY); Remote; USD 83,000 - 165,000; Full time

Job summary

Alignerr Corp. is seeking a seasoned C# engineer to build and optimize data pipelines, annotation tooling, and evaluation systems powering AI labs.

This fully remote hourly contract requires 20–40 hours per week, with collaboration across data, research, and engineering teams to tackle production infrastructure challenges and accelerate model training and evaluation.

Qualifications

• 5+ years of professional C# experience.
• Strong data modeling and database access skills.
• Knowledge of ORM frameworks and micro-ORMs for high-performance SQL.
• Ability to work asynchronously in a remote-first environment.

Responsibilities

• Design, build, and optimize high-performance C# systems for AI data pipelines.
• Develop full-stack tooling and backend services for data annotation and validation.
• Improve reliability and performance across existing C# codebases.
• Collaborate with data, research, and engineering teams to accelerate model training and evaluation workflows.
• Identify bottlenecks and implement production-ready fixes.

Skills

C# development

Backend systems

Full-stack mindset

Tools

ORM frameworks

SQL databases

Job description

About The Role

What if your C# expertise could directly shape the infrastructure powering next-generation AI? We're looking for a seasoned C# engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.

Backend Developer — AI Data Services

About The Role

What if your C# expertise could directly shape the infrastructure powering next-generation AI? We're looking for a seasoned C# engineer to build and optimize the 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 working on real production systems — not toy projects. You'll collaborate with data, research, and engineering teams at the frontier of AI development, solving hard infrastructure problems that have a direct impact on how the world's most advanced models are built.

• 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 AI data pipelines and model 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 closely with data, research, and engineering teams to accelerate model training and evaluation workflows
• Identify bottlenecks and edge cases in data and system behavior — then implement scalable, production-ready fixes
• 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 foundation and 5+ years of professional C# experience
• Skilled in data modeling and database access — including ORM frameworks and micro-ORMs for high-performance SQL interactions
• Experienced building secure, well-documented APIs and endpoints for data access and manipulation
• Able to commit reliably to 20–40 hours per week on an ongoing basis
• Self-directed and comfortable working asynchronously across a remote-first environment

Nice to Have

• Prior experience with data annotation platforms, data quality systems, or model evaluation pipelines
• Familiarity with AI/ML workflows, model training infrastructure, or benchmarking systems
• Experience with distributed systems, developer tooling, or high-throughput data processing

Why Join Us

• Work directly with leading AI research labs on production systems that matter
• Fully remote and flexible — structure your work around your schedule
• Freelance autonomy with the substance of meaningful, technically challenging work
• Contribute to infrastructure that shapes how next-generation AI models are built and evaluated
• Potential for ongoing work and contract extension as projects grow and evolve