Support Engineer, HumanSignal
Data labelling for machine learning
Job no longer available
Data labelling for machine learning
21-100 employees
Job no longer available
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 enjoying similar early success. With many heralding data labelling as the new “gold rush”, and the industry spreading worldwide, the competition looks fierce - but the space will be rewarding for those that win out.
Freddie
Company Specialist at Welcome to the Jungle
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
Leadership
Michael Malyuk
(Co-Founder)Previously Lead Software Developer at VYou and Cinematique.
Nikolai Liubimov
(Co-Founder & CTO)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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