---
title: 'Scene Assistant (New York, NY) at HumanSignal'
canonical: 'https://feeny.ai/job/scene-assistant-new-york-ny-humansignal-new-york-9pcxedshnmsf'
type: 'job'
last_seen: '2026-10-20'
---

# Scene Assistant (New York, NY) at HumanSignal

- **Company:** HumanSignal
- **Location:** New York, NY
- **Work type:** remote
- **Posted:** 2026-10-12
- **Last confirmed live:** 2026-10-20
- **Apply:** https://job-boards.greenhouse.io/humansignal/jobs/6222629004

## Job description

## About HumanSignal

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.

Scene Assistant

HumanSignal is looking for a Scene Assistant / Production Coordinator in the Hoboken area to support the planning and execution of scripted recording sessions. You'll help organize scripts, coordinate participants, prepare filming environments, and ensure everything is ready for smooth, efficient production.

This is a hands-on, detail-oriented role that could be a great fit for production assistants, event coordinators, operations professionals, or anyone who enjoys organizing moving parts, anticipating needs, and keeping a busy production running smoothly.

## What you’ll do

- Plan and organize scripts for upcoming sessions, coordinating schedules, participant assignments, and production priorities across the day or week.
- Track completed, pending, and upcoming scripts and takes, ensuring clear visibility into production progress.
- Coordinate script assignments and participant pairings to maintain variety across recordings and avoid unnecessary repetition.
- Review scripts in advance to identify required props, materials, scene setups, and any specific instructions or compliance requirements.
- Source, organize, and prepare props and filming environments, including kitchen, bedroom, living room, and other household settings.
- Review participant bookings and session schedules to ensure the appropriate scripts, environments, and resources are ready.
- Support on-set execution by managing scene transitions, resetting props, and addressing logistical needs during filming.
- Work closely with the Director and Tech Ops team to maintain production schedules, resolve issues, and minimize downtime.
- Maintain accurate session records, track progress against daily production goals, and communicate outstanding tasks or requirements.

## Who you are

- You're highly organized, detail-oriented, and comfortable managing multiple priorities at once.
- You have strong planning and coordination skills, with the ability to anticipate production needs before they arise.
- You're proactive, resourceful, and comfortable taking ownership of day-to-day logistics.
- You can follow detailed scripts, instructions, and production requirements consistently.
- You communicate clearly and enjoy collaborating with creative and technical teams.
- You're adaptable and comfortable working in a fast-paced, hands-on filming environment.
- Experience in production coordination, operations, event planning, project management, or set assistance is a plus.
- Familiarity with scripts, props, filming environments, or production tracking tools is a plus.

Physical & field requirements

The following are essential functions of this field-based role and must be performed with or without reasonable accommodation:

- Stand and walk for extended periods throughout the workday.
- Carry approximately 20-30 pounds of field equipment between sets.

HumanSignal will consider reasonable accommodations for qualified individuals with disabilities to enable them to perform the essential functions of the role.

Details

- Contract Duration: To be confirmed during the recruitment process
- Up to 40 hours per week
- $20 to $30 per hour, depending on relevant experience
- Occasional evening and weekend availability required
- In-person, studio-based role in Hoboken, NJ and surrounding areas

## About HumanSignal

## Company Overview
- **One-liner**: HumanSignal provides an open-source and enterprise data labeling platform that enables AI teams to build high-quality datasets, evaluate models, and scale human judgment for machine learning.
- **Entity Type**: Private (startup; $30M total funding raised from venture investors)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2019
- **Founders**: Not publicly named on the website, but described as a team of Data Scientists and ML Engineers who met on a Himalayan expedition.

## Core Business
- Primary industry: Data labeling, AI training data, machine learning operations (MLOps), data-centric AI infrastructure.
- Target customers: B2B – data science teams at enterprises, AI startups, and organizations building custom ML/AI models (e.g., Bombora, Zendesk, Outreach, Trivago, Wyze).
- Mission: “To advance data-centric AI” and “help data scientists use data to teach ML/AI models how to make the best predictions.”

## Products & Services
- **[Label Studio (Open Source)](https://humansignal.com/)**: The most popular open-source data labeling platform, used by over 1,000,000 AI practitioners. Supports annotation of text, images, audio, video, 3D sensor data, and more. Available as a community edition.
- **[Label Studio Enterprise](https://humansignal.com/)**: A commercial SaaS/on-prem version with enhanced security, automation, quality review workflows, performance reporting, and integrations. Designed for production ML/AI teams.
- **[Data Services (Human-in-the-Loop)](https://humansignal.com/)**: Managed labeling, evaluation, red teaming, fine-tuning, and custom benchmark creation. HumanSignal’s expert annotators and project managers partner with teams to deliver high-quality datasets.
- **AI-assisted annotation & evaluation**: Tools for auto-labeling, LLM evaluation, RAG optimization, prompt engineering, and continuous model validation.

## Market Standing
- **Valuation**: Not disclosed.
- **Key Metric**: Total funding of **$30 million** (raised from proven investors as of 2025).
- **Notable Investors**: Redpoint Ventures, Unusual Ventures, Bow Capital, Swift Ventures.
- **Growth Signals**:
  - Headcount grew **83.7% YoY** to ~72 employees; operates in 18 countries.
  - Label Studio community: **250,000+ users** and **20,000+ GitHub stars**.
  - Over **100 million pieces of data** annotated by the community.
  - Acquired **Erud AI** in November 2025 to launch multimodal data services.
  - Label Studio Enterprise now available in AWS Marketplace (December 2025).
  - Customers include Bombora, Geberit, Outreach, Trivago, Zendesk, Wyze.

## Competitive Advantages
- **Open-source dominance**: Label Studio is the most widely adopted open-source data labeling tool, giving HumanSignal a massive community, low barrier to entry, and built-in trust.
- **Data-centric AI philosophy**: Differentiates by emphasizing domain experts and internal teams owning the labeling process, reducing bias, and integrating human judgment at scale.
- **Flexible deployment**: Cloud or on-premises, with deep integration capabilities via APIs and agent skills.
- **End-to-end services**: From labeling to evaluation, red teaming, and fine-tuning – a single vendor for the full human-in-the-loop pipeline.

## Strategic Focus
- Continue expanding the Label Studio open-source ecosystem and enterprise adoption.
- Grow multimodal data services (text, image, video, 3D, audio) – acquisition of Erud AI signals this priority.
- Build internal data factories for customers who prefer to run their own labeling operations.
- Strengthen integrations with major ML/AI platforms and cloud marketplaces (e.g., AWS).
- Secure enterprise customers in regulated industries (on-prem capability).

## Why Work Here
- **Remote-first culture**: Distributed team across North America, Europe, and South America; annual team offsites (virtual and in-person).
- **Inclusive environment**: Emphasis on authenticity, diversity, and psychological safety.
- **Competitive compensation**: Salary + equity ownership in a venture-backed startup.
- **Time off**: Generous vacation package, recognition of local holidays.
- **Growth opportunities**: Fast-growing company (83% headcount increase) with roles in Engineering, Data Services, and Operations.
- **Impact**: Work on one of the most critical infrastructure layers for AI/ML, with a strong open-source community.
- **Current openings (as of mid-2026)**: Senior Backend, Frontend, Full Stack Engineers (remote); Delivery Leads, AI Trainers, Operations roles.

## Sources
1. [humansignal.com](https://humansignal.com/)
2. [humansignal.com/about](https://humansignal.com/about/)
3. [humansignal.com/careers](https://humansignal.com/careers/)
4. [linkedin.com/company/humansignal](https://www.linkedin.com/company/humansignal)
5. [job-boards.greenhouse.io/humansignal](http://job-boards.greenhouse.io/humansignal)

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