Maximize your model's performance with ethically sourced, high-precision datasets. I bridge the gap between raw data and machine intelligence through rigorous human verification. What I Provide: Targeted Data Acquisition: Scouring niche sources that automated scrapers miss. RLHF & Fine-Tuning: Expert human feedback to reduce model hallucinations and improve reasoning. Semantic Annotation: Precision labeling for supervised learning (NLP, Vision, or Tabular). Bias Auditing: Manual stress-testing of outputs to ensure safety and alignment. Deliverables: Clean, structured datasets (JSON/CSV) ready for immediate integration into your training pipeline. Stop training on noise—start training on ground truth.
1 hour
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Donostia, Gipuzkoa, ES
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