Remote Data Annotation Jobs in Rome

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7ca99s

About The Role

Remote data annotation jobs in Rome at Rex.zone focus on creating and evaluating high-quality training data for AI systems. In this full-time remote role, you will label text, images, audio, and video; apply detailed annotation guidelines; and perform QA evaluation to improve model performance across NLP, computer vision, and LLM training pipelines.

Key Responsibilities

Label data across NLP and computer vision tasks (e.g., classification, NER, bounding boxes/segmentation, OCR verification where applicable)
Perform named entity recognition and relation extraction
Support RLHF workflows via preference labeling, prompt evaluation, and response ranking for LLM evaluation
Execute QA evaluation using rubrics, audit sampling, calibration tasks, and inter-annotator agreement checks
Complete content safety labeling (e.g., harassment, self-harm, adult content, misinformation) as required
Maintain strict annotation guidelines compliance, document edge cases, and escalate ambiguities

Required Qualifications

Mid-senior experience in data annotation, data labeling,



and/or QA evaluation for AI/ML projects
Ability to interpret complex rubrics and maintain high consistency on nuanced edge cases
Familiarity with LLM evaluation concepts, RLHF-style preference labeling, and structured labeling for NLP (NER) or CV tasks
Strong attention to detail, time management, and ability to work independently in a remote environment

Work Model

This is a full-time Remote role with asynchronous collaboration via Rex.zone workflows, including documented decisions, calibration examples, and QA feedback loops to reduce guideline drift.

How To Apply

Apply via Rex.zone with a brief summary of relevant experience and examples of tasks completed (NER, classification, RLHF preference ranking, computer vision annotation, content safety labeling) and the quality methods used to maintain training data quality.

FAQ: Remote work is fully remote; projects may include RLHF/LLM evaluation;

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7ca99s