Support Engineer, HumanSignal
Data labelling platform for machine learning
Open for applications
Data labelling platform for machine learning
21-100 employees
Open for applications
21-100 employees
Company mission
To help data scientists use data to teach ML/AI models how to make the best predictions.
Role
Who you are
- Bachelor's degree in Computer Science, Engineering, or a related field or equivalent experience
- Proven experience (4 years) in a technical support role, preferably within the software industry
- Proficiency in Python and 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
Desirable
- Experience with containerization technologies such as Docker and Kubernetes
- Knowledge of database systems, SQL, and data management principles
- Familiarity with Agile development methodologies
- Familiarity with REST APIs and integrating with external services
- Working knowledge of JavaScript for front-end or back-end development tasks
What the job involves
- Wednesday - Sunday or Saturday - Wednesday
- 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
- Provide technical support to clients via email, chat, 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 with the engineering team to escalate complex issues, track bugs, and coordinate the development of patches or updates to address customer concerns
- Create and maintain detailed documentation, including FAQs, troubleshooting guides, and best practices, to assist clients in self-service support and enhance overall user experience
- Proactively identify opportunities for process improvements and contribute to the continuous enhancement of our support procedures and workflows
Our take
A number of new industries are developing, and winning big, in the slipstream of the AI boom. One of them is data labelling: the process of identifying raw data and tagging it with labels that will provide informative context for the machine model to learn from. It is proving a lucrative business, and HumanSignal is one of a growing number of startups looking to capitalize on this.
HumanSignal’s principal product is Label Studio, a collaborative data labelling solution with a focus on streamlining team management, relevant access, and data security. With industry leaders such as IBM, Nvidia, and Facebook having already adopted this product, it has certainly made a splash thus far.
HumanSignal has substantial funding under its belt but will have to compete with a large number of new data-labelling startups - some of them also enjoying similar early success. With many heralding data labelling as the new “gold rush”, and the industry spreading worldwide as North American businesses outsource labour abroad, the competition looks fierce but the space will be rewarding for those that win out.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
80% employee growth in 12 months
Company
Funding (2 rounds)
May 2022
$25m
SERIES A
Jul 2019
$0.2m
SEED
Total funding: $25.2m
Company benefits
- Work from Anywhere
- Equity Options
- Inclusive Culture & Environment
- Annual Team Offsite
- Time off & Vacation
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Michael Malyuk
(CEO & Co-Founder)Previously Lead Software Developer at VYou and Cinematique.
Nikolai Liubimov
(CTO & Co-Founder)Previously CTO at Audio Research Group. Since then, has been a Senior Software Engineer at Huawei Technologies, and Yandex.
Max Tkachenko
(Co-Founder)Previously worked as a Freelancer in Photo, Video & Design for over 14 years.
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