Delivery Lead New San Francisco, California

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.

We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.

We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.

If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.

About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation — delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own 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. Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and full data security. This role sits at the operational core of that delivery engine — responsible for ensuring our clients get the highest-quality data on time, every time.

This role is not for everyone. HumanSignal Services operates at the intersection of frontier AI research and large-scale human data delivery — and the work is fast, demanding, and unforgiving of dropped balls. You'll own complex, high-stakes data programs end-to-end, managing expert workforces, navigating shifting customer requirements, and holding quality and delivery timelines simultaneously. There is no playbook handed to you. You will build it, break it, and rebuild it better. If you thrive under pressure, take personal pride in operational excellence, and don't quit when a project gets hard — this is the role for you

What You'll Do The day-to-day is intense by design. You'll 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 that don't have obvious answers. The expectation is simple: own the outcome, no excuses. High performers here grow faster than anywhere else in the industry. The bar is high — and that's the point.

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

Required Qualifications

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 your every day work, including building scripting logic and working with large datasets with LLM assistance

Preferred Qualifications

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

HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. HumanSignal does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are committed to working with and providing reasonable accommodations to individuals with disabilities.

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