Coding Expert, HumanSignal

US & International

Salary not provided

Up to $110 USD/hour based on qualifications and project complexity

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

Salary not provided

Up to $110 USD/hour based on qualifications and project complexity

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

Master's degree required in a computer science or software engineering-related field
PhD strongly preferred in:
Computer Science
Software Engineering
Computer Engineering
Computational Science
Information Science
Or closely related technical disciplines
Degree Field Requirements
Candidates must hold degrees directly in computer science, software engineering, or computationally-intensive fields. Acceptable programs include:
Information Technology (with strong programming foundation)
Data Science/Machine Learning
Electrical Engineering (with software emphasis)
Deep understanding of software engineering principles across multiple domains
Proficiency in multiple programming languages
Strong analytical and problem-solving skills
Excellent attention to detail and code quality standards
Ability to clearly articulate technical reasoning and trade-offs
Experience with version control, testing frameworks, and development tools
Familiarity with software development methodologies
Ability to work independently and meet deadlines
Active software engineers, researchers, professors, or recent graduates in CS/engineering fields
Strong GitHub/portfolio or demonstrated technical expertise
Experience in software development, research, or industry applications
Passion for advancing AI capabilities in software development domains

What the job involves

HumanSignal is seeking highly qualified software engineering and computer science experts to contribute to cutting-edge AI development projects
This role involves evaluating, annotating, and validating code across multiple programming languages and domains to improve AI model performance in software development and problem-solving
Review and evaluate code for correctness, efficiency, and best practices
Annotate code logic, algorithms, and implementation approaches
Validate AI-generated code across various programming languages and frameworks
Identify bugs, security vulnerabilities, and performance issues
Provide detailed feedback on code quality, structure, and documentation
Work with problems spanning algorithms, data structures, system design, and software architecture

Application process

Submit CV/resume highlighting technical qualifications
Provide proof of advanced degree(s)
Complete a brief coding assessment
Participate in a qualification review

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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