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Alignerr

Backend Developer - AI Data Services

Latin America

July 13, 2026 at 4:04 AM

✨ AI summary

Location

  • Mexico Remote

Languages

  • C#

Frameworks

  • ORM frameworks (e.g., Entity Framework, Dapper)

Databases

  • SQL

Experience Level

  • 5+ years professional C# experience
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.

This is a fully remote contract role with real technical depth — you'll work on production systems that matter, alongside data, research, and engineering teams at the frontier of AI development.

  • 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