Remote Data Annotation Jobs in Helsinki

Overview

Rex.zone is hiring for full-time, fully remote data annotation specialists supporting AI training data for large language models and computer vision systems. You will perform data labeling, RLHF evaluation, prompt evaluation, and QA evaluation to improve training data quality and model performance across production LLM training pipelines.

Key Responsibilities

Annotate multi-modal datasets (text, image, and structured records) following detailed guidelines and rubricsComplete NLP and computer vision annotation tasks (e.g., NER, classification, extraction, bounding boxes/polygons) and content safety labelingPerform RLHF preference ranking, pairwise comparisons, and rubric-based scoring; document clear rationalesRun QA evaluation passes, resolve edge cases, and flag ambiguous prompts/items for reviewCollaborate asynchronously with project leads, reviewers, and calibration workflows to improve consistency

Required Qualifications

Mid-to-senior experience in data annotation/data labeling operations with measurable quality outcomesAbility to apply detailed rubrics consistently and write clear QA rationalesFamiliarity with RLHF concepts, prompt evaluation, and LLM evaluation signalsStrong English comprehension and professional writing for guideline interpretation and issue reporting

Quality & Measurement

Measured via guideline compliance, audit pass rate, calibration accuracy, and inter-annotator consistencyFeedback provided through reviewer notes, audits, and periodic calibration sessions

How To Apply

Apply through Rex.zone and complete the qualification and calibration steps to be matched to active remote production projects.