Human Data Architect

Job not on LinkedIn

🔥 9 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Surge AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🤖 Artificial Intelligence

🔌 API

☁️ SaaS

💰 $25M Series A on 2020-07

Artificial Intelligence • API • SaaS

Surge AI is a company that provides high-quality training data and data-labeling solutions for machine learning teams. It offers an API-driven, SaaS platform that combines human-in-the-loop annotation, quality control, and tooling for collecting, validating, and managing datasets to accelerate model development and improve model performance.

📋 Description

• Architect end-to-end data workflows — from task design through quality assurance and delivery — ensuring each stage produces data that is well-structured for its post-training purpose (e.g., SFT, RL, model evaluation). • Design collection structures and task frameworks that translate what clients need from a model into concrete, scalable data generation processes. • Build and monitor data quality frameworks that catch problems before they reach the client. • Partner with engineering and product teams to improve data pipelines, identifying where structural or methodological changes can improve throughput without sacrificing quality. • Translate patterns in data quality and project structure into actionable insights that inform project design, client deliverables, and product development.

🎯 Requirements

• Experience designing human data collection at scale — e.g., in computational cognitive science, HCI, crowdsourcing research, or a similar field where you've thought carefully about how to get reliable signal from human participants. • Familiarity with ML post-training paradigms (e.g., SFT, RL) and a working intuition for how data quality decisions map onto model outcomes. • Strong technical skills with the ability to work across data pipelines, not just analyze endpoints. • Systems-level thinking — you understand how task design choices propagate into training data and you design accordingly. • Excellent communication skills — you can explain measurement concepts to engineers and engineering constraints to researchers.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events