---
title: 'Services Support Specialist at HumanSignal'
canonical: 'https://feeny.ai/job/services-support-specialist-humansignal-remote-t7xj1vmqbaxt'
type: 'job'
last_seen: '2026-11-03'
---

# Services Support Specialist at HumanSignal

- **Company:** HumanSignal
- **Location:** Remote
- **Work type:** remote
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-11-03
- **Apply:** https://job-boards.greenhouse.io/humansignal/jobs/6238086004

## 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.

## About the Role

Services Support Specialists are the dedicated, global point of contact for HumanSignal's contractor population — a workforce-operations function distinct from Enterprise Support. Where Enterprise Support is primarily technical and customer-facing, this role resolves payment, identity/verification, account-access, onboarding, and project-related questions for contractors working across every timezone.

## Key Responsibilities

- Own and resolve inbound contractor tickets in Zendesk, including payment/payout issues, identity and KYC verification, account access, and onboarding or assessment blockers.
- Serve as a contractor's single point of contact, coordinating across teams rather than leaving them to navigate multiple channels on their own.
- Escalate issues outside Services Support's scope to the appropriate team: Payments/Finance, Verification/Trust, Project Operations, Support Engineering/Engineering, or Safety/Security.
- Monitor and handle annotator requests within Discord, escalating to the appropriate delivery team resource when needed.
- Apply P0-P3 severity classification to incoming tickets and follow the corresponding response process.
- Identify and flag repetitive, low-complexity ticket types (roughly 81% of tickets require two or fewer agent comments) for deterministic self-service or automation.
- Participate in a quarterly review of ticket volume and coverage against the schedule below.

On-Call Responsibilities

- Acknowledge P0 pages within approximately 15 minutes; unacknowledged pages automatically escalate to that week's secondary on-call responder.
- On-call is reserved for Critical issues only — for example, a systemic inability to work, widespread payment or verification failures, major production incidents, or credible safety/security concerns. Routine P1-P3 tickets remain queued for the next scheduled shift.

## Qualifications

- Experience in a support or operations role, ideally supporting a global or contractor/gig workforce.
- Comfort working across payment, identity/verification, and account-access issues, with the judgment to know when to resolve directly versus escalate.
- Clear, professional written communication suited to a global contractor population.
- Willingness to participate in the rotating P0 on-call schedule.
- Working proficiency with Zendesk (or a comparable ticketing platform) and Discord.
- Ability to work independently during off-hours coverage while following documented escalation paths.

What Success Looks Like

- SLA attainment on first response and time-to-resolution, against an initial planning estimate of approximately 15-30 minutes of direct handling time per ticket.
- P0 pages acknowledged within the target window, with escalations to the secondary responder tracked and rare.
- Low rate of tickets requiring re-escalation or reopening.
- Contractors get a single, clear path to resolution rather than moving unassisted between Support, Project teams, Payments, and Verification.
- A growing share of high-volume, low-complexity ticket types shifted to self-service or automation.

At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North America. The base cash compensation range for the United States is $55,000 to $70,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

## 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)

## Other roles at HumanSignal

- [Freelance Graphic Designer - AI Training](https://feeny.ai/job/freelance-graphic-designer-ai-training-humansignal-azerbaijan-9yxft0b9qgd5) — Azerbaijan
- [Freelance Graphic Designer - AI Training](https://feeny.ai/job/freelance-graphic-designer-ai-training-humansignal-uzbekistan-71e4s76pjzp1) — Uzbekistan
- [Freelance Graphic Designer - AI Training](https://feeny.ai/job/freelance-graphic-designer-ai-training-humansignal-kazakhstan-dqxn91416106) — Kazakhstan
- [Freelance Graphic Designer - AI Training](https://feeny.ai/job/freelance-graphic-designer-ai-training-humansignal-egypt-ycrhhjakvmvx) — Egypt
- [Freelance Graphic Designer - AI Training](https://feeny.ai/job/freelance-graphic-designer-ai-training-humansignal-brazil-jr2ywap0m7ev) — Brazil
- [Freelance Graphic Designer - AI Training](https://feeny.ai/job/freelance-graphic-designer-ai-training-humansignal-colombia-xbnndc4db5sg) — Colombia
- [Freelance Graphic Designer - AI Training](https://feeny.ai/job/freelance-graphic-designer-ai-training-humansignal-mexico-yrxg7e49zdky) — Mexico
- [Freelance Graphic Designer - AI Training](https://feeny.ai/job/freelance-graphic-designer-ai-training-humansignal-sri-lanka-a2ms0xemrshh) — Sri Lanka
- [Freelance Graphic Designer - AI Training](https://feeny.ai/job/freelance-graphic-designer-ai-training-humansignal-turkey-1t15cdsk9br0) — Turkey
- [Freelance Graphic Designer - AI Training](https://feeny.ai/job/freelance-graphic-designer-ai-training-humansignal-malaysia-a7xyn2hnavrr) — Malaysia