HumanSignal
Training Specialist
San Francisco, California · Staff+
Sponsorship not specified$60k-$125kDetected 56 days ago
Machine LearningData ScienceResearchCommunication
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.
- 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.
Responsibilities
- Design and deliver project-specific training collateral within tight timelines (often 24-48 hours) for new AI data labeling programs
- Develop training materials - written guides, annotated examples, rubrics, and assessments - that translate complex technical task requirements into clear contributor instructions
- Analyze learner performance data, error patterns, and quality issues to identify training gaps and design targeted interventions
- Train and coach operations staff (SPLs, Ops Associates) on instructional design principles, feedback techniques, and quality assessment methods
- 3+ years in instructional design, training, or technical content creation
- Experience developing training materials under tight timelines
Requirements
- Proven ability to simplify complex concepts for non-expert audiences
Compensation
- $60,000 - $125,000
- 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.
Benefits
- Collaborate with Product and Engineering to surface tooling improvements that support contributor learning at scale
Company info
- Build reusable content templates, frameworks, and self-serve resources to maintain training consistency across projects and customers
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