Data Engineer

About The Job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

This is a Full-time Contract Data Engineer position.

Role Responsibilities

• Manage data labeling workflows, including data enqueueing, UI for labeling, and extracting labels into datasets for the modeling team.
• Maintain large-scale, efficient data processing pipelines for billions of images using machine learning models and LLMs.
• Ensure governance of datasets, focusing on access, retention, and privacy compliance.
• Collaborate with engineers to identify model gaps and prepare necessary data for model training iterations.
• Scale validated evaluation protocols with product development teams, including auditing and correcting human-labeled data.
• Work independently and manage time effectively to improve AI model performance.

Qualifications

Must-Have

• Basic knowledge of Python and SQL.
• Basic knowledge of computer vision and generative models.
• Basic knowledge with data ETL workflows & pipelines.
• Associate's degree or equivalent training in Computer Science, Electronic Engineering, Physics, Bioinformatics, or other STEM subjects.
• Verbal and written communication skills, problem-solving skills, and interpersonal skills.
• Attention to detail and aptitude for experimental investigations.

Preferred

• Prior industrial experience in software development and testing.
• Research experience in human-computer interaction.
• Previous experience at a major technology company.

Key skills/competency

• Data Pipelines
• Machine Learning
• LLMs
• Data Governance
• ETL Workflows
• Python
• SQL
• Computer Vision
• Generative Models
• AI Model Performance