Data Engineer - Remote

Overview

This role involves transforming language models into real-world applications, focusing on building AI systems for a global audience.

In Short

• Collect, clean, and preprocess user-generated text and image data for fine-tuning large models.
• Design and manage scalable data labeling pipelines.
• Build and maintain automated datasets for content moderation.
• Collaborate with researchers and engineers to ensure dataset quality.
• Experience in machine learning dataset preparation.
• Strong skills in data cleaning, preprocessing, and transformation.
• Hands-on experience with data labeling workflows.
• Familiarity with building moderation datasets.
• Proficient in Python and SQL.
• High-impact role with visibility across product, data, and engineering.

Requirements

• Proven experience preparing datasets for machine learning.
• Strong skills in data cleaning and preprocessing.
• Hands-on experience with data labeling workflows.
• Familiarity with moderation datasets.
• Proficiency in Python and SQL.

Benefits

• Flat structure and real ownership.
• Full involvement in direction and decision making.
• Flexibility in work arrangement.
• Top-of-market compensation and performance bonuses.
• Global exposure to product development.
• Housing rental subsidies and quality company cafeteria.
• Health, dental, and vision insurance.
• Global travel insurance for you and your dependents.
• Unlimited, flexible time off.