$80K - $105K/yr
... label (For Marketed products, if applicable). * Submission of expedited Serious Adverse Event (SAE ... Work with Data Management or client on reconciliation of safety databases, if appropriate.
$80K - $105K/yr
... label (For Marketed products, if applicable). * Submission of expedited Serious Adverse Event (SAE ... Work with Data Management or client on reconciliation of safety databases, if appropriate.
$80K - $105K/yr
... label (For Marketed products, if applicable). * Submission of expedited Serious Adverse Event (SAE ... Work with Data Management or client on reconciliation of safety databases, if appropriate.
$44.7K - $62.2K
1% of jobs
$62.2K - $79.7K
2% of jobs
$79.7K - $97.1K
4% of jobs
$97.1K - $114.6K
9% of jobs
$129.4K is the 25th percentile. Wages below this are outliers.
$114.6K - $132K
11% of jobs
$132K - $149.5K
7% of jobs
The median wage is $155.1K / yr.
$149.5K - $167K
50% of jobs
$167K - $184.4K
2% of jobs
$184.4K - $201.9K
1% of jobs
$201.9K - $219.3K
0% of jobs
$219.3K - $236.8K
13% of jobs
$44.7K
$160.5K
$236.8K
To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.
Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.
A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

$80K - $105K/yr
Full-time
Medical, Dental, Vision, Life, Retirement
Posted 13 days ago
8.3
Based on 11 frontline employees who took The Breakroom Quiz
25th of 73 rated research
Sourced by ZipRecruiter