Data Generalist

Rex.zone; Netherlands; Remote; EUR 60,000 - 90,000; Full time

Job summary

Rex.zone is seeking a Data Generalist for a full-time remote position based in Amsterdam. You will support AI training pipelines by coordinating data labeling, RLHF evaluation, and comprehensive QA for large language models.

In this role, you’ll use SQL and Python to manage data flows, enforce annotation guidelines, and oversee quality across global remote teams. You’ll also perform computer vision labeling and NLP tasks to maintain high-quality training data and enhance model performance.

Qualifications

• Strong foundations in SQL and Python for data operations.
• Experience with QA evaluation and LLM training pipelines.
• Familiarity with named entity recognition and data labeling processes.

Responsibilities

• Oversee RLHF (Reinforcement Learning from Human Feedback) data labeling.
• Ensure annotation guidelines compliance and content safety labeling.
• Perform computer vision annotation and NLP tasks to maintain high-quality training data.
• Coordinate data operations across global remote teams to support AI labs and startups.

Skills

SQL

Python

Data pipelines

QA evaluation

Named entity recognition

LLM training pipelines

Job description

Discover full-time remote Data Generalist jobs in Amsterdam for 2026. Join Rex.zone to power AI training pipelines through expert data labeling, RLHF evaluation, and comprehensive QA evaluation for large language models.

Key Responsibilities in AI/ML Training Pipelines

As a Data Generalist at Rex.zone, you will manage complex data operations for leading AI labs and tech startups. Your daily tasks include overseeing RLHF (Reinforcement Learning from Human Feedback), ensuring strict annotation guidelines compliance, and conducting content safety labeling. You will execute computer vision annotation and NLP tasks, guaranteeing top-tier training data quality across our global remote teams.

Qualifications For Senior Data Generalists

Candidates must possess strong foundational skills in SQL, Python, and data pipeline architecture. Deep experience with QA evaluation, named entity recognition, and LLM training pipelines is essential. Whether your background is with BPOs, annotation vendors, or AI startups, your ability to ensure high-quality data labeling and model performance improvement will make you a perfect fit for this remote engineering role.