Jobs · Human Resources · California

Training Specialist

HumanSignal Services (formerly Erud AI) · San Francisco, CA · 3 wk ago
Human Resources$60k–$125k/yrInternship

About the role

This role sits at the operational core of HumanSignal's delivery engine, responsible for ensuring clients receive the highest-quality data on time, every time. The role is fast-paced, demanding, and unforgiving of dropped balls. It requires thriving under pressure, taking personal pride in operational excellence, and not quitting when a project gets hard.

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
  • 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

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

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