Senior Full Stack Engineer, HumanSignal

$140-200k

Salary is partially dependant on applicants location

SQL

React

TypeScript

Python

Django

GraphQL

Kafka

Cypress

Spark

Jest

BigQuery

REST API

Senior and Expert level

Remote from Canada, Europe, UK, US

Data labelling for machine learning

Open for applications

Data labelling for machine learning

21-100 employees

B2BArtificial IntelligenceEnterpriseMachine LearningData Analysis

Open for applications

$140-200k

Salary is partially dependant on applicants location

SQL

React

TypeScript

Python

Django

GraphQL

Kafka

Cypress

Spark

Jest

BigQuery

REST API

Senior and Expert level

Remote from Canada, Europe, UK, US

21-100 employees

B2BArtificial IntelligenceEnterpriseMachine LearningData Analysis

Company mission

To help data scientists use data to teach ML/AI models how to make the best predictions.

Job

Company

Role

Who you are

Senior-level experience shipping production full-stack features (React/TypeScript + Python/Django + SQL)
Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback
Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns
Backend depth: REST API design, relational modeling, migrations, performance tuning, and background job patterns
Excellent communication at a Senior IC level—you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well
Nice to have: GraphQL familiarity; Kafka/queues/streaming; Spark/BigQuery; auth/RBAC; multi-tenant SaaS; design-system experience

What the job involves

We’re hiring a Senior Full-Stack Engineer with product vision. You’ll build end-to-end features across React/TypeScript and Python/Django, shaping APIs, data models, and background jobs while keeping UIs fast, accessible, and trustworthy
You’ll partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls—so complex, data-heavy workflows feel simple, performant, and reliable
Build full-stack features: React/TypeScript on the client; Django/REST services, data models, and background jobs on the server
Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast
Design clean API contracts and evolve schemas/migrations; improve performance and reliability (query tuning, caching, job orchestration)
Partner with Product & Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones
Keep UIs accessible and responsive; add solid error-handling and failure-mode UX
Raise engineering standards: testing strategy, code quality, observability hooks, resilience patterns
Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes
Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience
Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase

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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