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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.
About the Opportunity:
We’re growing engineering to support delivering novel product work in a data labeling automation platform powered by GenAI and agents. We’re looking for the next group of passionate and talented engineers who desire to join and grow alongside us in our mission to build and deliver software that democratizes everyone's ability to harness these technologies.
HumanSignal is looking for a Front-End Engineer who is comfortable working across the stack when necessary. You will be a key part of our efforts to ensure our platform is user-friendly, reliable, and scalable. You will collaborate with backend engineers, product managers, and designers to create intuitive and responsive web applications that meet the needs of our growing user base. This role is ideal for engineers who enjoy creating intuitive and impactful user interfaces and are passionate about building software that democratizes data labeling through AI and automation.
Responsibilities:
If this opportunity sounds intriguing and you're drawn to engineering challenges, have a strong desire to make a big impact as part of a small, agile team, in an exciting space, we'd love to talk to you.
What You'll Bring:Languages, Frameworks, and Technologies We Use:
Python, django, JS, Typescript, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, kubernetes, Postgres & Redis
Within 1 week, you'll:
Within 1 month, you'll:
Within 3 months, you'll:
Within 6 months, you'll:
In 1 year, you'll:
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 is an exciting time at HumanSignal, we are a growing startup and at this stage we are constantly evolving. While we have put a lot of thought into your first and most important initiatives, it’s only an example and something we will work on together. We're always learning and growing, so like us this role will evolve and expand. We hope that this opportunity sounds exciting to you and that you consider joining us on our journey!
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