RLHF & AI Evaluation Data — Multilingual, Expert Annotators

The provider provides human feedback and evaluation data for LLM alignment and fine-tuning. TASK TYPES: • Preference ranking (A/B comparison of model outputs) • Safety evaluation (identifying harmful, biased, or inappropriate responses) • Instruction following assessment • Factual accuracy verification • Creative writing evaluation • Code review and debugging • Multilingual translation quality assessment • Red-teaming and adversarial prompt testing ANNOTATOR QUALIFICATIONS: • University-educated (BA/MA/PhD) • Domain experts available: medicine, law, engineering, linguistics, finance and others • Native speakers in 15+ languages • Detailed reasoning provided for each annotation METADATA PER TASK: Task ID, type, domain, language, prompt, responses, preference, confidence level, reasoning, annotator credentials, annotation time, quality score, date, country. LANGUAGES: English, Spanish (Spanish + Argentinian dialects), Hebrew, Ukrainian, Russian, Polish, Czech, Slovak, Romanian, Ireland. COMPLIANCE: All annotators sign participation agreements. No PII in delivered datasets. GDPR-compliant. DELIVERY: CSV/JSON format, on-demand, typical turnaround 1-3 weeks.