Senior Data Annotation Jobs in Rome
14 ore fa
Roma, Lazio, Italia
RemoExperts
Tempo pieno
35.000 € - 60.000 € Contratto
Gratuito con email o Google
Salva questo lavoro e mantieni la tua ricerca organizzata
Crea un account gratuito per salvare lavori, creare avvisi e tornare a questa inserzione dalla tua dashboard.
Gratuito con email o Google
Continuando accetti i nostri Termini & Informativa sulla privacy.
About The Role
Consulti la panoramica del ruolo qui sotto. Se è sicuro/a di possedere le giuste competenze ed esperienze, si candidi oggi stesso.
Senior data annotation is a Mid-Senior, full-time remote role focused on training data quality for AI/ML systems—labeling, RLHF, prompt evaluation, and QA evaluation that directly improve model performance.
Consulti la panoramica del ruolo qui sotto. Se è sicuro/a di possedere le giuste competenze ed esperienze, si candidi oggi stesso.
You will help build reliable LLM training pipelines by applying annotation guidelines compliance, auditing datasets, and refining instructions for human feedback.
What You Will Do- Own and execute complex annotation tasks across NLP and computer vision annotation (e.g., named entity recognition, classification, ranking, span labeling)
- Perform RLHF workflows (preference comparisons, rationale checks, policy-aligned scoring) and prompt evaluation for LLM training pipelines
- Run QA evaluation using sampling plans, inter-annotator agreement checks, and targeted error analysis
- Maintain annotation guidelines compliance by documenting decisions, escalating ambiguous cases, and updating rubrics
- Partner with stakeholders across AI labs, tech startups, BPO teams, and annotation vendors to deliver production-ready datasets on schedule
- Production experience in data annotation/data labeling or QA evaluation for AI/ML xbvzest systems
- Strong understanding of training data quality and guideline-driven labeling
- Familiarity with RLHF and large language model evaluation concepts (prompt evaluation, preference ranking)
- High attention to detail, consistent decision-making, and comfort with ambiguous edge cases
- Clear written communication and precise documentation habits