Remote Jobs

ElevenLabs logo

Data Labeler - Music

ElevenLabs

Location
United Kingdom
Posted

Music data labeler at ElevenLabs, enhancing machine learning models with expertise in music theory and structure.

Simple app logo

Lead Data Scientist

Simple app

Location
Cyprus
Posted

Lead Data Scientist at Simple: Enhance AI algorithms, lead projects, and advance personalization using strong data analysis skills and expertise in modeling.

Upwork logo

Lead Data Scientist

Upwork

Location
United States of America
Posted
Salary Range
158k - 184k USD

Lead Data Scientist role at Upwork, analyzing marketplace dynamics with data science expertise

ElevenLabs logo

Data Scientist - Marketing

ElevenLabs

Location
Canada
Posted

Data Scientist for paid marketing analytics and operations at ElevenLabs

Skillshare logo

Data & Analytics Lead

Skillshare

Location
Canada
Posted
Salary Range
120k - 143k USD

Lead data-driven insights at Skillshare, partner with cross-functional teams, and support strategic decision-making using SQL and BI tools like Looker, Tableau, or Power BI. Join a culture of collaboration and innovation.

Lumos logo

Lead Data Engineer

Lumos

Location
United States of America
Posted

Lead Data Engineer at Lumos: Design & implement scalable data pipelines for analytics & AI-driven solutions.

TrueML logo

Data Scientist II

TrueML

Location
Argentina
Posted
Salary Range
44k - 79k USD

Join TrueML as a Data Scientist to leverage your skills in Python, pandas, SQL, and machine learning tools to drive impactful solutions for distressed borrowers using data-driven approaches.

MissionWired logo

Data Services Manager

MissionWired

Location
United States of America
Posted

Data services manager for MissionWired, managing data movement and processing for clients, developing custom SQL scripts and reporting.

Nutrafol logo

Manager, Data Engineer

Nutrafol

Location
United States of America
Posted
Salary Range
130k - 145k USD

Data Engineer at Nutrafol: Develop impactful data features, collaborate with cross-functional teams, and drive business decisions.

Nutrafol logo

Manager - Data Engineer

Nutrafol

Location
United States of America
Posted
Salary Range
130k - 145k USD

Transform business requirements into technical solutions, enhance database design, and support data-driven decisions at Nutrafol as a Data Engineer. Work with cross-functional teams to gather insights and ensure high-quality data for strategic initiatives.

StackAdapt logo

Data Scientist / Senior Data Scientist

StackAdapt

Location
Canada
Posted
Salary Range
150k - 250k USD

Develop and ship impactful computer vision features using tools by Roboflow, collaborate with a talented team, and create innovative AI solutions that make the world programmable.

StackAdapt logo

Data Scientist / Senior Data Scientist

StackAdapt

Location
United States of America
Posted

Join StackAdapt as a Data Scientist to innovate ML algorithms for advertising performance, collaborate with engineers, and enjoy comprehensive benefits in a remote-friendly environment.

Binance logo

Data Scientist (NLP)

Binance

Location
Brunei Darussalam
Posted

Data Scientist (NLP) position at Binance, utilizing internal data to train models and develop applications for business decision-making.

Whatnot logo

Data Scientist - Product Analytics

Whatnot

Location
United States of America
Posted
Salary Range
158k - 205k USD

Data Scientist - Product Analytics at Whatnot: drive growth and improve user experience through data science methodologies

Mapbox logo

Data Engineer III - Search Data

Mapbox

Location
United States of America
Posted
Salary Range
172k - 232k USD

Data Engineer III for in-vehicle navigation applications with experience in AWS technologies, SQL, and modern programming languages

Binance logo

Data Scientist(LLM)

Binance

Location
Taiwan, Republic of China
Posted

Data Scientist (LLM) job at Binance for cutting-edge research and development of large language models and AI technologies.

ElevenLabs logo

Data Labeler - Music

ElevenLabs

Job Summary

ElevenLabs is a pioneering voice technology company that has reached over 1 million users globally. They are backed by leading names in tech and AI and are looking for ambitious people to help push the boundaries of voice AI. The company values curiosity, ownership, and a drive to improve. As a music data labeler at ElevenLabs, you will review audio assets, apply detailed descriptive labels, and enhance machine learning models to deliver high-quality results. You will work with a global team of passionate individuals who are united by curiosity and a shared goal: to be the first choice for AI audio solutions. With flexible remote work options and opportunities for continuous growth, ElevenLabs is an exciting place to join on its rise.

This role is remote and can be executed globally.

About ElevenLabs 

At ElevenLabs, we are pioneering voice technology with our cutting-edge research and products. 

We launched in January 2023 and have since reached over 1 million users globally and have partnered with the world’s biggest names (see customer stories). We closed our Series-C funding at a 3.3B valuation at the beginning of this year and are backed by the leading names in tech and AI (a16z, ICONIQ, NEA, Sequoia, NFDG, Salesforce, and many others).

We are at an exciting phase of our growth and innovation and are looking for ambitious people to help us further push the boundaries of voice AI. This is a rare chance to be an early member of a company on the rise. If this excites you, we want to meet you! 

Who we are

A global team of passionate and innovative individuals united by curiosity and a shared goal: to be the first choice for AI audio solutions. Together, we are shaping a new technology and market from the ground up. We innovate quickly and take pride in getting things right, from the big picture initiatives to the details that keep us moving smoothly every day. We work with high autonomy and accountability where the best idea wins at any time and from anyone. 

About the role 

We are looking for a passionate music data labeler to help curate our datasets and drive exciting new features for our platform. In this role, you will review audio assets, apply detailed descriptive labels, and enhance our machine learning models to deliver high-quality results. This position requires an understanding of music theory and structure to accurately classify and annotate a variety of musical elements. Given the role's impact on our music models, we are looking for someone with exceptional musical taste.

Who you are

We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: 

  • Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.  

  • Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. 

  • Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. 

  • Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.

  • Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.

What you bring

You have an expert ear and an innate ability to distinguish standout tracks. Combined with your passion for music and technology, you’re keen to help shape the future of AI.

  • Comprehensive genre knowledge: Familiarity with various music genres, styles, and subgenres.

  • Expertise in musical structure and emotion: Identifying instruments, timbres, moods, and themes in music.

  • Strong understanding of music theory: Knowledge of keys, scales, chords, tempo, and time signatures.

  • Proficiency in reading music notation: Ability to interpret standard music scores and transcriptions.

  • Sharp ear for pitch and melody: Recognizing intervals, melodic patterns, and musical phrasing with accuracy.

What we offer

  • High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

  • A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) 

  • Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.

  • Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.

#LI-remote