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 roleWe’re hiring a Senior Backend Engineer with product vision. You’ll design and operate services in Python/Django that power labeling and evaluation workflows at scale: clean API contracts, robust data models, efficient background jobs, and dependable performance. You’ll partner early with PM/Design/FE to frame problems, prototype to learn, and make pragmatic scope calls—so complex workflows feel simple, reliable, and fast for users.
Responsibilities- Design, build, and operate backend services/APIs in Python/Django with Postgres/Redis.
- Own outcomes, not tasks: refine scope, suggest trade-offs, and land increments that deliver value quickly and safely.
- Model data and author migrations; tune queries and caching; manage background jobs/queues for high-volume workflows.
- Evolve API contracts with FE; keep interfaces clear, versioned, and resilient to change.
- Improve reliability and performance (timeouts, retries, idempotency, rate limits, pagination, backpressure).
- Implement secure, multi-tenant patterns: auth, permissions/RBAC, auditability, and safe data boundaries.
- Contribute to testing strategy (unit/integration), error handling, and graceful failure modes.
- Partner with Support to investigate production issues and turn learnings into fixes and prevention.
- 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.
- Senior-level experience shipping production backends in Python/Django (or a close equivalent) and SQL.
- Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
- Depth in REST API design, relational modeling, migrations, and performance tuning.
- Experience with background processing/queues (e.g., Celery/RQ/Kafka-backed workers) and operational concerns.
- Clear written communication at a Senior IC level—concise RFCs/PRDs, actionable reviews, and crisp decision records.
- Nice to have: GraphQL familiarity; Kafka/streaming; Spark/BigQuery; security/compliance exposure; multi-region architectures.
Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.
How we buildTrunk-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 workAt 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 & CompensationAt 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.
Top Skills
What We Do
HumanSignal (formerly known as Heartex) 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 enables data scientists to develop high quality datasets and workflows for model training, fine tuning and continuous validation.
Today, the Label Studio open source community has more than 250,000 users who have collectively annotated more than 100 million pieces of data. Label Studio Enterprise is available as a cloud service with enhanced security, automation, quality review workflows, and performance reporting, used by leading data science teams including Bombora, Geberit, Outreach, Wyze, and Zendesk.
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