LLM
Training.
Human data operations purpose-built for teams training large language models — from pre-training corpus curation to RLHF pipelines and safety alignment datasets.
What we do for LLM teams
Pre-Training Data
High-quality text curation, deduplication labeling, and quality scoring for large-scale pre-training corpora.
Instruction Tuning
Prompt–response pair creation, instruction diversity annotation, and quality filtering for fine-tuning datasets.
RLHF Data Collection
Preference pairs, response rankings, and detailed human feedback annotation calibrated for reward model training.
Evaluation Benchmarks
Custom benchmark construction and human evaluation of model outputs across quality, safety, and helpfulness.
Output Scoring
Systematic human scoring of model generations against defined rubrics for alignment and capability assessment.
Safety & Alignment Data
Red teaming data, refusal behavior annotation, and harmful output classification for alignment teams.
Use Cases
We work directly with LLM teams at AI labs, startups, and enterprise AI groups — delivering the human signal that drives model improvement at every stage of the training lifecycle.
Building a better language model?
Start with a scoped pilot on your data. No commitment required.