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Music Data Labeller (Vc Backed Top 20 Music Company Globally)
Company | Global Talent Accelerator |
Address | Vancouver, British Columbia, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Musicians,Information Services,Software Development |
Expires | 2023-09-23 |
Posted at | 8 months ago |
Are you a former musician, with a keen interest in data, or are you a data wrangler who loves music?
Either way, if you are looking for the right opportunity to grow your career - and your impact - with a hyper-growth tech company that’s making a real difference in the world, then we have just the role for you.
Our client is a well funded startup delivering the most advanced streaming fraud and auditing technology built specifically for the music industry. The tech helps get $2 Billion in lost revenue back to artists that they deserve when streaming is accurately audited.
Loving music data is at the heart of the technology and the company. Our client works with the world’s best music labels and artists all day!
Technical requirements for a labeller:
- Knowledge of data labeling and annotation tools to efficiently tag and categorize data for machine learning models.
- Familiarity with music streaming platforms, their ecosystem, and common user behavior.
- Attention to detail and accuracy in data labeling to ensure high-quality input for machine learning models.
- Time management skills to complete data labeling tasks within specified deadlines.
- Good communication skills to collaborate effectively with data scientists, engineers, and product managers.
- A willingness to continuously learn and adapt to new technologies, tools, and methodologies in the field of fraud detection and data labeling.
- Strong analytical skills to identify patterns, trends, and anomalies in the data related to fraudulent activities.
Nice to haves
- Basic knowledge of fraud detection techniques and strategies used in the music streaming industry.
- Understanding of basic statistical methods to analyze and compare data patterns.
- Experience working with large datasets and the ability to handle data preparation, cleaning, and transformation.
Perks
- A flexible work environment
- Joining a growing company with a strong foundation, leading in its field
- Working on difficult problems with a team that will push your thinking
- Frequent company events and offsites
Please email your resume to [email protected] or for more information
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