Top Data Annotation Companies for AI and ML in 2024

 





1.      Appen

https://appen.com/

Appen is an Australian-based generative data company with a global reach. Appen`s market scope is broad and covers continental scales. The company commands over 1 million remote data collectors and annotators globally. Appen regularly sends out invitations for remote data collectors in various locations globally based on the ongoing projects. It would be an accurate estimation that 2 in every 15 data annotators globally have interacted with or worked on Appen. While the company maintains great reviews on Glassdoor, there has been a concern on the reducing data rates which has significantly affected the data collectors and annotators

2.      Tremoo AI

https://tremoo.com/

Tremoo is a US-based data collection and annotation company that converts unstructured and robust data into high value model-ready data for AI and ML training. As the name suggests, Tremoo collects massive amounts of data through Tremoo Scouts across the world and features one of the largest remote workforce in the AI arena. While the registration process is rigorous and strict, Tremoo is reputed for favorable pay rates and regular payment cycle for the scouts involved in data collection. Looking for remote or part time data collection and annotation opportunities? You might need to check if Tremoo is recruiting data collection scouts in your location.

 

3.      Label Your Data

https://labelyourdata.com/

Label Your Data is a US-based Data Annotation company with a keen focus on various industries in the US and European market. LYD offers high-quality data annotation services to a range of industries, including manufacturing, insurance, robotics, fintech, healthcare, e-commerce, and automotive. The annotation workforce at LYD comprises more than 500 experts who can manage corporate and research and development projects. LYD undertakes mass recruitment of data annotators from time to time and has decent Glassdoor corporate reviews.

4.      Heartex

https://app.heartex.com/

Heartex is a collaborative labeling, annotation and data exploration platform for machine learning. It’s designed with simplicity in mind and is adaptable for different ML needs. It works with different data types, mobile-friendly, and provides world-class support for controlling the quality of the results. Heartex is an organization-centered application developed to integrate efficiency in data annotation among teams. Is your organization seeking a collaborative application for data labeling and annotation? Heartex could just be the right tool for you.

 

5.      Desicrew

https://www.desicrew.in/

DesiCrew is an India-based data collection and annotation company that has recorded a significant growth since its inception in 2007. The company specializes in providing enterprises and organizations with top-notch data annotation services. While the company targeted the Indian tech market at inception, it has expanded its market scope to the European and US market in the recent years. DesiCrew often recruits large teams for data collection and annotation on short contracts based on the projects being undertaken at any given time. If you are looking for a remote job with few requirements, you might need to consider Desicrew in their next recruitment drive for data collectors and annotators.  

6.      Labellerr

https://www.labellerr.com/

Labellerr is an India-based data company that secures its slot in the global market through speedy data management. In just a few weeks, Labellerr's data labeling engine can process millions of photos and thousands of hours of videos thanks to automatic annotation, sophisticated analytics, and astute quality assurance. For Labellerr, it`s quality over quantity and therefore the company has a narrow market share and operations while targeting highly sensitive and big data sectors. Do you have a project that needs datasets urgently made from raw data? Labellerr is your best choice. Are you a competent data annotator seeking a remote and long term opportunity in the Ai Data industry? You might need to check on Labellerr`s careers page more often.

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