Training Specialist

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 multistep 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. Role Overview HumanSignal specializes in operationally complex, multimodal data collection and annotation — delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. 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. You will own complex, high‑stakes data programs end‑to‑end, managing expert workforces, navigating shifting customer requirements, and holding quality and delivery timelines simultaneously. There is no playbook handed to you. You will build it, break it, and rebuild it better. What You’ll Do 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. Build reusable content templates, frameworks, and self‑serve resources to maintain training consistency across projects and customers. Continuously track training effectiveness via quality metrics, completion rates, and satisfaction scores — and iterate quickly. Collaborate with Product and Engineering to surface tooling improvements that support contributor learning at scale. Required Qualifications 3+ years in instructional design, training, or technical content creation. Proven ability to simplify complex concepts for non‑expert audiences. Experience developing training materials under tight timelines. Strong written communication and structured thinking. Data‑driven: comfortable analyzing performance metrics to improve programs. Preferred Qualifications AI/ML background or strong understanding of AI training methodologies (SFT, RLHF, model evaluation). STEM degree or technical fluency (CS, Data Science, or related field). Experience with LMS platforms or annotation tooling (Scale, Labelbox, Prodigy, etc.). Background in customer success enablement, sales enablement, or technical consulting. Additional Information Level: Individual Contributor Compensation: $60,000 – $125,000 Location: San Francisco, CA #J-18808-Ljbffr