HumanSignal

HumanSignal

HumanSignal is a data labeling platform for machine learning and AI that offers flexibility, security, and scalability. It supports all data types, formats, ML backends, and storage providers, enabling users to prepare training data, fine-tune models, ...

Internet Software & Services
1-10
$25M raised

Description

  • Build full-stack features across client and server: implement user-facing UI, design APIs, evolve data models, and implement background jobs.
  • Own outcomes end-to-end: refine scope, propose trade-offs, and deliver incremental value quickly.
  • Design clean API contracts and manage schema evolution and migrations.
  • Improve performance and reliability through query tuning, caching, and job orchestration.
  • Partner with Product and Design from discovery to delivery: clarify user jobs, prototype, and write lightweight RFCs/PRDs to shape scope and milestones.
  • Keep UIs accessible, responsive, and resilient with solid error-handling and failure-mode UX.
  • Raise engineering standards by driving testing strategy, code quality, observability hooks, and resilience patterns.
  • Partner with Support to investigate production issues, reduce UX papercuts, and convert learnings into fixes.
  • Engage with the open-source community (issues, discussions) to understand real-world needs and improve developer experience.
  • Participate in architecture discussions and code reviews, mentor teammates, and improve patterns across the codebase.

Requirements

  • Senior-level experience shipping production full-stack features combining frontend, backend, and SQL-backed systems.
  • Proven product sense with experience making scope and trade-off decisions and iterating based on real-world usage and feedback.
  • Experience with modern frontend tooling and state-management patterns (examples given: Vite/Webpack, Jest/Cypress).
  • Backend depth in REST API design, relational data modeling, migrations, performance tuning, and background job patterns.
  • Excellent written and verbal communication at a Senior IC level, including writing RFCs/PRDs and giving actionable code reviews.
  • Familiarity with testing strategies, observability, and resilience engineering patterns.
  • Nice to have: GraphQL familiarity; Kafka/queues/streaming; Spark/BigQuery; auth/RBAC; multi-tenant SaaS; design-system experience.
  • Comfort working in a collaborative, product-oriented engineering process (trunk-based development, feature flags, small reviewable PRs).
  • Experience working with large-scale data or AI-focused products is a plus (Label Studio / dataset pipelines context).

Benefits

  • Base cash compensation range: $140,000 to $200,000 USD (final offer depends on experience and other factors).
  • Hiring across North and South America and Europe with pay based on regional market rates (remote/regionally distributed roles).
  • Opportunity to work on a widely adopted open-source product (Label Studio) and engage directly with its community.
  • Rapid company growth and evolving roles, offering strong opportunities for impact and career growth.
  • Structured six-week 'Build and Ship' cycle with a two-week 'Cooldown' to address technical debt and balance workload.
  • Engineering-focused culture and best practices: trunk-based development, feature flags, strong code reviews, pragmatic testing, and close collaboration with Product/Design/Support.
  • Work with a modern data-and-AI-focused technology stack and collaborate with leading AI teams.

Interested in this position?

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