Backend Developer - AI Data Services

Alignerr Corp.; United States; Remote; MXN 689,000 - 1,102,000; Part time

Benefits offered by this job

Fully remote

Freelance autonomy

Job summary

Alignerr Corp. is seeking a Senior C# Full-Stack Engineer to design and optimize AI data pipelines, annotation tooling, and evaluation systems.

This remote hourly contract offers 20–40 hours per week, with a focus on high-performance C# development, data modeling, and scalable backend services that support model training and evaluation workflows.

You will collaborate with AI labs and research teams, contributing to robust, production-grade systems in a fully remote setup.

Qualifications

• 5+ years of professional experience coding production-grade C#
• Strong data modeling and high-performance SQL via ORM/micro-ORM
• Experience building secure, well-documented endpoints
• Full-stack developer with a strong systems programming background

Responsibilities

• Design, build, and optimize high-performance C# systems for 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 safety across existing C# codebases
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows
• Identify bottlenecks and edge cases in data and system behavior, implementing scalable fixes
• Participate in architecture/design reviews to iterate on implementation decisions

Skills

C#

Data modeling

System design

Security best practices

Full-stack development

English communication

Tools

ORM frameworks

SQL

Job description

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 C# Full-Stack 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 the next generation of AI? We're looking for a Senior C# Full-Stack 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.

• 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 evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
• Improve reliability, performance, and safety across existing C# codebases
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows
• Identify bottlenecks and edge cases in data and system behavior, and implement scalable 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 background
• 5+ years of professional experience writing production-grade C#
• Strong skills in data modeling and database access using ORM frameworks or micro-ORMs for high-performance SQL interactions
• Experienced building secure, well-documented endpoints for data access and manipulation
• 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 with leading AI labs on real production infrastructure — not toy projects
• Fully remote and async-friendly — work from wherever you do your best thinking
• Freelance autonomy with the structure of meaningful, ongoing technical work
• Contribute to systems that have a measurable impact on how next-generation AI is built and evaluated
• Potential for extended engagement as new projects and infrastructure needs grow