Technical AI Trainer

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.

• Create, test, and optimize automations using the iPhone Shortcuts app
• Troubleshoot and debug workflows to ensure reliable functionality
• Document and organize shortcuts for efficient data capture and handoff
• Work independently to meet weekly targets and deliverables
• Collaborate with the project team to ensure consistency and quality

• Proven experience creating automations in the Shortcuts app (iOS)
• Excellent problem-solving and troubleshooting skills
• Strong technical aptitude and curiosity to learn quickly
• Ability to work independently and manage your own time effectively
• Fluent English communication skills
• Must own an iPhone capable of running the Shortcuts app
• Ability to work a minimum of 25 hours per week
• Must be able to demonstrate technical proficiency (skills test required)
• Engineering background is a plus

• Type: Short-term contract (1–3 weeks)
• Hours: Minimum 25 hours/week
• Location: Remote
• Start Date: Immediate
• Pay: $22/hour