- Review photos of damaged vehicles
- Mark affected areas such as scratches, dents, cracks, and missing parts
- Identify specific vehicle parts involved
HumanSignal offers data labeling software and annotation tools to build accurate and smart AI products.
This company operates with a remote-first culture, allowing team members to work from anywhere.
HumanSignal pioneers the future of AI by empowering leading teams to build smarter, more accurate models. Their platform combines automation with human expertise to prepare training data, fine-tune AI models, and validate their performance. They are the creators and maintainers of Label Studio, the open-source data labeling tool with over 250,000 users and hundreds of millions of labeled samples. If you want to shape how AI learns and evolves, HumanSignal offers you a chance to make a significant impact.
HumanSignal is a remote-first organization with team members distributed across North America, Europe, and South America. They foster an inclusive culture and environment where everyone can thrive. They operate on a unique "Build and Ship" six-week cycle followed by a "Cooldown" period. The first four weeks focus on new feature creation and improvements, with a rotating support group for direct customer interaction. The two-week cooldown addresses technical debt, refines processes, and tackles lingering tasks. Annual offsites strengthen team bonds and collaboration, ensuring a connected remote experience.
As a Senior Backend Engineer, you will shape what HumanSignal builds, not just follow instructions. You will own outcomes, proposing solutions and delivering value to users and the business. You will design and operate backend services in Python/Django with Postgres/Redis, powering labeling and evaluation workflows at scale. Challenges include clean API contracts, robust data models, efficient background jobs, and dependable performance for complex workflows. You will evolve API contracts with frontend teams, maintain secure multi-tenant patterns, and contribute to architecture discussions and testing strategies. They use Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, and Redis.