Support Engineer

Job not on LinkedIn

🕒 December 3, 2025

🇺🇸 United States – Remote

💵 $75k - $90k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

👻 Ghost score 48%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Human Signal

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2003

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

Human Signal is a company that specializes in providing a data labeling platform known as Label Studio Enterprise. This platform is designed for automating and refining the data labeling process, integrating capabilities such as natural language processing (NLP) autolabeling, security, quality control, and compliance features. Human Signal focuses on preparing training data, fine-tuning large language models, and evaluating model performance for data science and machine learning teams. They offer a robust API and customizable workflows to optimize the entire AI development lifecycle across various use cases, including legal, medical, and retail sectors. The platform emphasizes secure data handling, being SOC2 certified and HIPAA compliant, ensuring data privacy and integrity.

📋 Description

• 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 support procedures and workflows. • Provide structured, high-quality customer updates throughout investigations. • Advance support maturity by improving processes, strengthening proactive support, and contributing to internal tooling and automation.

🎯 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. • 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.