Startup Jobs
Post a Job
HumanSignal

Support Engineer

Remote

AI overview

This role will enhance support processes and tools while providing technical assistance for our widely adopted data labeling software among leading AI teams.

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.

Job Description: We are seeking a talented Support Engineer to join our team and provide exceptional technical support for our industry-leading data labeling software. As a Support Engineer, you will play a crucial role in ensuring the seamless operation of our platform and assisting our clients in resolving any technical issues they encounter. You will work closely with our product and engineering teams to deliver prompt and effective solutions, contributing to the overall success of our product.

As our team scales, this role will play a critical part in advancing our support maturity—improving processes, strengthening our ability to deliver proactive support, and contributing to internal tooling and automation.

Responsibilities:

  • Provide technical support to clients via email and support tickets, addressing inquiries related to the installation, configuration, and usage of Label Studio.
  • Diagnose and troubleshoot software issues reported by clients, utilizing debugging tools and logs to identify root causes and implement timely resolutions.
  • Collaborate closely with Product, Engineering, and Customer Success to drive issue resolution.
  • Create internal and external documentation to improve support quality and self-service.
  • Proactively identify opportunities for process improvements and contribute to the continuous enhancement of our support procedures and workflows.
  • Provide structured, high-quality customer updates throughout investigations.

Requirements:

  • 3–5 years in technical support or support engineering for a SaaS or developer-focused product.
  • Strong debugging skills across cloud environments, APIs, browser issues, and containerized systems.
  • Proficiency in Python or Javascript programming language for scripting and automation tasks.
  • Strong understanding of cloud computing platforms, particularly AWS (Amazon Web Services), including services such as EC2, S3, Lambda, and IAM.
  • Familiarity with machine learning concepts and frameworks, with experience working with ML models preferred.
  • Excellent problem-solving skills and ability to analyze complex technical issues.
  • Exceptional communication skills, both written and verbal, with a customer-centric approach.
  • Ability to thrive in a fast-paced environment, managing multiple priorities effectively and meeting tight deadlines.
  • Strong teamwork and collaboration skills, with the ability to work cross-functionally with engineering, product management, and customer success teams.

Preferred Qualifications:

  • Experience with Kubernetes, container orchestration, or infrastructure debugging.
  • Knowledge of ML/AI workflows or data labeling pipelines.
  • Familiarity with Agile development methodologies.
  • Familiarity with REST APIs and integrating with external services.

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 for the United States is $75,000 to $90,000 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.

HumanSignal

We build software that helps people do what only they can do – give meaning. Data fills our modern world. It flows prolifically inside organizations, customer interactions, product usage, environmental research, healthcare imaging, and beyond. What if we could use any of this historical data to predict the future? In most cases, we can now make predictions through Machine Learning & AI, but to do so in a meaningful and impactful way, historical data needs to be accurate, comprehensive, and without bias.   To make the best predictions, we believe teams with domain expertise should be responsible for annotating and curating data. It's called data labeling, and it’s a process of real people giving meaning to the information they see on the screen. HumanSignal was founded to take data labeling operations to the next level and help data scientists make better predictions.

Website LinkedIn
View all jobs
Salary
$75,000 – $90,000 per year
Get hired quicker

Be the first to apply. Receive an email whenever similar jobs are posted.

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Customer Service Q&A's
Report this job
Apply for this job