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HumanSignalHU

Senior Full Stack Engineer

HumanSignal provides a data labeling platform, Label Studio, designed to help data science teams build and fine-tune AI models using proprietary data and human feedback. It supports various data types and offers both open-source and enterprise solutions.

HumanSignal

Employee count: 51-200

Salary: 140k-200k USD

AR, BR + 5 more

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The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.

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.

This is a product-engineering role: not “build what you’re told,”but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.

About the role

We’re hiring a Senior Full-Stack Engineer with product vision. You’ll build end-to-end features across React/TypeScript and Python/Django, shaping APIs, data models, and background jobs while keeping UIs fast, accessible, and trustworthy. You’ll partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls—so complex, data-heavy workflows feel simple, performant, and reliable.

Responsibilities

  • Build full-stack features: React/TypeScript on the client; Django/REST services, data models, and background jobs on the server.
  • Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast.
  • Design clean API contracts and evolve schemas/migrations; improve performance and reliability (query tuning, caching, job orchestration).
  • Partner with Product Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones.
  • Keep UIs accessible and responsive; add solid error-handling and failure-mode UX.
  • Raise engineering standards: testing strategy, code quality, observability hooks, resilience patterns.
  • Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes.
  • Engage with our 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.

What you’ll bring

  • Senior-level experience shipping production full-stack features (React/TypeScript + Python/Django + SQL).
  • Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
  • Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns.
  • Backend depth: REST API design, relational modeling, migrations, performance tuning, and background job patterns.
  • Excellent communication at a Senior IC level—you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well.
  • Nice to have: GraphQL familiarity; Kafka/queues/streaming; Spark/BigQuery; auth/RBAC; multi-tenant SaaS; design-system experience.

Our stack

Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.

How we build

Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.

How we work

At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.

After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.

Location Compensation

At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

It’s an exciting time at HumanSignal. We’re growing quickly, and roles evolve as we learn. We’ve put thought into your first initiatives, but we’ll refine them together. If this sounds exciting, come build with us.

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior

Salary

Salary: 140k-200k USD

Hiring timezones

United States +/- 0 hours, and 6 other timezones

About HumanSignal

Learn more about HumanSignal and their company culture.

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HumanSignal enables data science teams to build AI models with their company DNA. With the emergence of generative AI, it's more important than ever to build highly differentiated models by guiding foundation models with proprietary data and human feedback. Creators of Label Studio, the most popular open source data labeling platform, HumanSignal empowers data scientists to develop high quality datasets and workflows for model training, fine-tuning, and continuous validation. The company, formerly known as Heartex, was founded in 2019 with the mission to advance data-centric AI and put the power in data scientists' hands. Open source software is central to this mission, making it easy for anyone to get started, providing flexibility, and fostering community benefits.

HumanSignal believes that internal teams and domain experts should be responsible for annotating and curating training data, reducing bias through collaboration, and fueled by automation at scale. This approach is based on the founders' real-world experiences across different industries. The company emphasizes that as foundation models fuel new possibilities for AI applications, they also present challenges such as lack of differentiation, mistakes, hallucinations, and bias. Therefore, the need for specialized, high-quality training data to fine-tune and continuously validate generative AI models is more critical than ever. Label Studio, HumanSignal's core offering, has been utilized by over 250,000 users globally, who have collectively annotated more than 200 million pieces of data. The platform supports various data types including images, audio, text, HTML, time-series, and video. HumanSignal offers Label Studio Enterprise as a cloud service with enhanced security (SOC 2 Type II and HIPAA compliant), automation, quality review workflows, and performance reporting, serving leading data science teams at companies like Bombora, Geberit, Outreach, Trivago, and Zendesk. The company has secured $30 million in funding from investors including Redpoint Ventures, Unusual Ventures, Bow Capital, and Swift Ventures.

Employee benefits

Learn about the employee benefits and perks provided at HumanSignal.

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Work from Anywhere

HumanSignal is a remote-first, distributed organization. We currently have team members working from North America, Europe, and South America.

Competitive Salary & Ownership

We are building a talented and driven team to make a big impact on ML/AI, which is why we offer competitive salary & ownership in the form of equity.

Inclusive Culture & Environment

Being your authentic self is key to doing your best work. We are building an inclusive culture and community, where everyone can thrive and contribute.

Top-tier Funding

HumanSignal has raised $30M in funding to date from prominent and proven investors, including Redpoint Ventures, Unusual Ventures, Bow Capital and Swift Ventures.

View HumanSignal's employee benefits
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HumanSignal hiring Senior Full Stack Engineer • Remote (Work from Home) | Himalayas