Software Engineer (C#) - Internal Tooling

Alignerr; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Alignerr designs and builds high-performance C# systems to enable AI data pipelines and evaluation workflows. You will optimize production-grade components and contribute to scalable data processing across teams.

You will collaborate with data scientists, researchers, and engineers to support model training and evaluation workflows, applying best practices in software engineering and AI safety. This role offers opportunities to influence architecture, performance, and reliability as Alignerr

Qualifications

• 3–5+ years of professional experience writing production-grade C#.
• Experience with data annotation, AI/ML workflows, and distributed systems is a plus.

Responsibilities

• Design, build, and optimize high-performance C# systems for AI data pipelines and evaluation workflows.
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows.

Skills

C#

Full-Stack Development

Systems Programming

Data Pipelines

Data Annotation

Quality Control

Model Training

Evaluation Systems

Distributed Systems

AI/ML Workflows

Interoperability

Benchmarking

Collaboration

Problem Solving

Performance Optimization

Safety

Job description

Design, build, and optimize high-performance C# systems supporting AI data pipelines and evaluation workflows. Collaborate with data, research, and engineering teams to support model training and evaluation workflows.

Requirements

Candidates should have 3-5+ years of professional experience writing production-grade C# and be skilled in interoperability scenarios. Experience with data annotation, AI/ML workflows, and distributed systems is a plus.

Key Skills

C#, Full-Stack Development, Systems Programming, Data Pipelines, Data Annotation, Quality Control, Model Training, Evaluation Systems, Benchmarking, Interoperability, Distributed Systems, AI/ML Workflows, Collaboration, Problem Solving, Performance Optimization, Safety