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Salary: USD 110,000 - 140,000 / annual
HumanSignal is a human data partner for companies building AI models and products. The company specializes in operationally complex, multimodal data collection and annotation, delivering datasets for frontier AI research. HumanSignal owns projects end-to-end—from scoping and protocol design through final delivery—running on-site and distributed expert workforces across 50+ knowledge domains, 30+ languages, and 75+ countries. Work spans RLHF, evals, red-teaming, and custom multimodal data creation, powered by Label Studio Enterprise and built on rigorous quality workflows, ethical sourcing, and full data security.
As Delivery Lead, you will sit at the operational core of the delivery engine, responsible for ensuring clients receive the highest-quality data on time. This is a fast-paced, demanding role requiring operational excellence and accountability. You will own complex, high-stakes data programs end-to-end, managing expert workforces, navigating shifting customer requirements, and holding quality and delivery timelines simultaneously.
Key responsibilities:
- Lead and manage a team of Strategic Project Leads (SPLs) across multiple high-stakes AI data projects simultaneously
- Own delivery outcomes for your projects: throughput, quality, SLA performance, cost efficiency, and customer satisfaction
- Drive delivery across custom data pipelines and expert labeling workflows, translating researcher requirements into clear operational plans
- Collaborate with AI lab researchers and procurement partners to define data strategies, scope programs, and resolve escalations
- Drive systems-level improvements—standardize playbooks, improve tooling, and build infrastructure that makes the team faster and more reliable at scale
- Coach and develop SPLs; ensure high-quality AI Trainer experience and strong contributor retention
- Partner with Product and Engineering to evolve internal tooling, automation, and operational systems
You will juggle multiple programs at once, each with its own contributors, quality standards, and customer expectations. You'll make hard calls with incomplete information, hold contributors and vendors accountable, and find creative solutions to problems without obvious answers. High performers grow faster than anywhere else in the industry.
REQUIREMENTS:
- 5+ years in operationally intensive roles (marketplace, data ops, logistics, or similar)
- 1+ year of people management with clear impact on team performance
- Metrics-driven with a systems-thinking approach to operations
- Experience owning delivery outcomes across multi-stakeholder, high-velocity projects
- Hands-on operator willing to dive into execution when needed
- Must be proficient in using LLMs in everyday work, including building scripting logic and working with large datasets with LLM assistance
PREFERRED:
- 1+ year in AI data operations (RLHF, annotation, model evaluation)
- STEM background or strong technical fluency
- Python & React working knowledge
- Experience managing distributed contributor workforces at scale
- Background in management consulting, investment banking, or high-growth startups
