Engineering Manager, Data Labeling Platform

What you'll do

• Lead, mentor, and develop software, data, and AI application engineers while maintaining a high technical bar.
• Architect annotation and auto-labeling systems, data pipelines, analytics, and custom interfaces across multiple modalities.
• Align engineering priorities with research leaders, executives, and data operations, and scale platform efficiency and reliability.

What they ask for

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related technical field (or equivalent experience).
• 10+ overall years of professional software engineering experience, including 2+ years as a technical lead or engineering manager.
• Strong software, data, or AI application engineering background, with system design skills and deep hands-on expertise in Python.
• Experience with data pipelines, distributed systems, and integrating machine learning models into production workflows; experience leading technical initiatives or teams.

Nice to have

• Experience with human-in-the-loop data programs, labeling platforms, RLHF, preference data, or red teaming.
• Working proficiency in TypeScript or JavaScript; experience with multimodal data or model-assisted labeling workflows.

Pay

200,000 USD - 322,000 USD (base salary, Level 3); 248,000 USD - 391,000 USD (base salary, Level 4)

Tools

Python, TypeScript, JavaScript

AI focus

Builds auto-labeling applications using multimodal models-in-the-loop to reduce human labeling effort and latency; integrates machine learning models into production workflows.