G2

Simmi k.

Consultant

Mid-Market (51-1000 emp.)

7/21/2026

"Snorkel AI Makes High-Quality Training Data Faster with Programmatic Labeling"

4.5/5

What do you like best about Snorkel AI?

What I like best about Snorkel AI is its ability to create high-quality training datasets without relying entirely on manual labeling. The concept of programmatic labeling using labeling functions is a huge time-saver, especially for large datasets. It also makes it easier to iterate and improve data quality as project requirements evolve. Another strength is its support for data-centric AI, helping identify labeling issues and improve model performance by focusing on the dataset rather than only tuning the model. Overall, it makes the data preparation process and makes building machine learning models more efficient. Review collected by and hosted on G2.com.

What do you dislike about Snorkel AI?

One aspect I dislike about Snorkel AI is that it has a fairly steep learning curve, especially for users who are new to programmatic labeling and data-centric AI concepts. Writing effective labeling functions often requires domain expertise and several rounds of refinement to achieve good results. Additionally, for smaller datasets, the initial setup can feel more time-consuming than traditional manual labeling, making it less practical for simple projects. Review collected by and hosted on G2.com.

What problems is Snorkel AI solving and how is that benefiting you?

Snorkel AI addresses one of the biggest challenges in machine learning: creating high-quality labeled datasets efficiently. Instead of manually labeling thousands of data points, it enables programmatic labeling and data quality improvements, significantly reducing the time and effort required. This benefits me by speeding up the data preparation process, allowing me to spend more time on model development and experimentation. It also makes it easier to maintain consistent labels and quickly adapt datasets as project requirements change. Review collected by and hosted on G2.com.