Best professionals offering data labelling engineer services in Singapore

Data Labelling Engineer

Overview

A data labelling engineer is a professional responsible for annotating and categorizing data to prepare it for use in machine learning models. This process is crucial for the development and training of artificial intelligence and deep learning algorithms.

Requirements

To become a successful data labelling engineer, one needs to have strong attention to detail, excellent analytical skills, and the ability to work efficiently in a fast-paced environment. Industry professionals should also have a good understanding of machine learning concepts and be familiar with data labelling tools and software.

Accreditations and Certifications

While not mandatory, having certifications in data science, machine learning, or related fields can be beneficial for data labelling engineers. Some popular certifications include the Certified Data Scientist (CDS) and the Certified Machine Learning Engineer (CMLE).

Tips for Choosing the Best Service Provider

When selecting a data labelling service provider, consider factors such as their experience, expertise, and reputation. Look for providers with a strong track record of delivering high-quality data labelling services and a good understanding of industry-specific requirements.

Questions to Ask Professionals

• What is your experience with data labelling, and can you provide examples of previous projects?
• What tools and software do you use for data labelling, and can you explain your workflow?
• How do you ensure data quality and accuracy, and what measures do you take to prevent bias?
• Can you provide references or case studies that demonstrate your expertise in data labelling?

Useful References

For more information on data labelling and machine learning, consider the following resources:

• Kaggle: A platform for machine learning competitions and hosting datasets.
• GitHub: A web-based platform for version control and collaboration.
• Data Science Handbook: A comprehensive guide to data science concepts and techniques.

Average Prices

The cost of data labelling services in Singapore can vary depending on the provider, the type of data, and the level of complexity. On average, data labelling services in Singapore can cost between SGD 20 to SGD 50 per hour.

In major cities like Singapore, the average daily fee for a data labelling engineer can range from SGD 400 to SGD 800. In other cities like Kuala Lumpur, the average daily fee can range from SGD 300 to SGD 600, while in cities like Jakarta, the average daily fee can range from SGD 200 to SGD 400.

It's worth noting that these prices are only estimates and can vary depending on the specific requirements of the project.

Requesting a Quote

To request a quote for data labelling services, simply describe your project requirements and provide any relevant details. The service provider will then respond with a quote that includes the cost, timeline, and any other relevant information.

Fees for Data Labelling Engineer freelancers

The average daily fee for experienced freelancers is SGD 40.

The fee varies depending on the city in which the freelancer is located. For instance, the average daily fee for a data labelling engineer in Singapore is SGD 50 while in Kuala Lumpur is SGD 35 or in Jakarta is SGD 30.