Operations Specialist, HumanSignal
$45-85k
Data labelling for machine learning
Be an early applicant
Data labelling for machine learning
21-100 employees
Be an early applicant
$45-85k
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, Data Science, or a related technical field
- 1-3 years of experience in operations, technical program management, or engineering roles
- Strong technical foundation with understanding of data pipelines, APIs, and system architecture
- Proficiency with SQL and ability to work with databases to analyze operational data
- Experience with project management tools and workflow systems (Jira, Asana, Notion, etc.)
- Analytical mindset with attention to detail and ability to spot issues before they escalate
- Excellent communication skills and comfort working cross-functionally with technical and non-technical stakeholders
- Bias toward action and problem-solving—you don't wait to be told what to do when you see something broken
- Comfort in fast-paced environments where priorities shift and you need to adapt quickly
Desirable
- Experience with machine learning workflows or understanding of how training data impacts model performance
- Familiarity with Python or other scripting languages for automation
- Prior experience at a startup, tech company, or in data operations roles
- Knowledge of data annotation, labeling platforms, or quality control processes
- Experience supporting technical customers or working on customer-facing delivery teams
What the job involves
- HumanSignal is seeking an Operations Specialist to support our delivery teams as we scale our Label Studio platform and Data Creation Laboratory operations
- In this role, you'll be the critical support system for delivery leads managing complex data projects for frontier AI labs and enterprise customers
- You'll bridge technical operations and project execution, ensuring seamless delivery of the purpose-built datasets that power breakthrough AI applications
- Our Data Creation Laboratories manufacture training data from scratch in controlled environments—this isn't traditional data labeling
- The technical complexity of what we deliver demands operators who understand data architecture, can troubleshoot pipeline issues, and think systematically about how data flows from creation to customer delivery
- If you have an engineering mindset and want to be hands-on in the most exciting space in AI, this role offers real impact
- Support delivery leads in executing high-stakes data projects from kickoff through delivery
- Monitor data pipelines and quality workflows, identifying bottlenecks and troubleshooting issues before they impact customers
- Coordinate across technical teams including engineering, quality control, and laboratory operations to ensure on-time delivery
- Help maintain project tracking systems, documentation, and delivery reporting
- Participate in technical discussions about data architecture, delivery workflows, and pipeline optimization
- Assist with onboarding new projects by setting up infrastructure, configuring tools, and ensuring technical readiness
- Support operational analytics by pulling data, building dashboards, and surfacing insights that improve delivery performance
- Act as a technical liaison between delivery teams and customers, helping translate requirements and address technical questions
- Contribute to process improvements that make data creation and delivery faster, more reliable, and higher quality
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 & CEO)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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