AI Trainer Onboarding and Support Specialist at HumanSignal

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

80000.0

Posted On

21 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Customer Support, Onboarding, Community Management, Problem Solving, Technical Troubleshooting, Documentation, Communication, Attention to Detail, Organizational Skills, Independence, Professionalism, Multilingual, AI, Machine Learning

Industry

Software Development

Description

The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk. HumanSignal is building the world's first dedicated data creation labs—facilities where expert annotators, domain specialists, and AI trainers create the highest-quality training data in the industry. We're hiring an AI Trainer Onboarding and Support Specialist to be the first point of contact for our growing community of AI trainers. You'll help new trainers get started, answer their questions, resolve issues quickly, and make sure everyone has what they need to do their best work. This role is all about people. You'll be the friendly voice (or message) that helps someone navigate their first annotation task, troubleshoot a technical issue, or understand their payment. You'll work across time zones to support a global workforce, and you'll play a key role in making HumanSignal a place where talented people want to contribute. If you're someone who genuinely enjoys helping people, thrives on solving problems, and wants to be part of building something new, we'd love to hear from you. You will: Respond to support tickets from AI trainers across multiple channels—email, chat, and internal platforms Guide new trainers through onboarding: answering questions, troubleshooting setup issues, and helping them get started on their first tasks Handle questions about payments, scheduling, task assignments, platform navigation, and general policies Troubleshoot technical issues and escalate complex problems to the right teams Create and maintain help documentation, FAQs, and onboarding materials based on common questions Track support metrics and identify patterns that can improve the trainer experience Work closely with operations and product teams to communicate trainer feedback and help improve our systems Maintain a fixed schedule that may include night or weekend shifts to support trainers across time zones Help build a welcoming, supportive community for our global network of AI trainers You have: 2+ years of experience in customer support, onboarding, or community management roles Genuine passion for helping people and solving their problems Excellent written communication skills—you're clear, friendly, and empathetic Strong problem-solving skills and the ability to think on your feet Comfort with technology and the ability to learn new tools quickly High attention to detail and organizational skills Ability to work a fixed schedule, including potential night or weekend shifts Experience working independently and managing your own workload Patience and professionalism, even in challenging situations Nice to have: Experience supporting remote or distributed workforces Familiarity with support ticketing systems (Zendesk, Intercom, etc.) Background in data annotation, AI/ML, or tech platforms Multilingual capabilities, especially Spanish, Portuguese, or other widely spoken languages Experience creating help documentation or training materials Interest in AI and machine learning Compensation: The base salary range for this full-time position is $60,000–$80,000 USD, plus benefits. This role is open to candidates internationally. Final compensation will be determined by experience, skills, location, and interview performance. About HumanSignal: HumanSignal is on a mission to make AI work for everyone. We build open-source tools and enterprise solutions that help teams create, manage, and improve the training data that powers AI. Our products—including Label Studio—are used by thousands of companies worldwide, from startups to Fortune 500 enterprises. We're a remote-first company that values impact, ownership, and creativity. We believe the best work happens when people bring their full selves to the table, and we're committed to building an inclusive team that reflects the diversity of the world we're building for. HumanSignal is an equal opportunity employer. We're committed to building a diverse and inclusive workplace, and we don't discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. If you need accommodations during the hiring process, please let us know.

Responsibilities

You will respond to support tickets from AI trainers and guide new trainers through onboarding. Additionally, you will troubleshoot technical issues and create help documentation based on common questions.