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Share Your Data
Upload raw images, video, text, audio, or LiDAR securely — we ingest from cloud storage, SFTP, or your existing ML pipeline.
Annotation service
LLM Data Annotation
LLM alignment data — preference ranking, safety labels, red-team prompts, and evaluation sets with secure enterprise workflows.
- Preference and ranking labels
- Safety and policy tagging
- Multilingual LLM datasets
- GDPR-ready text handling
Service overview
Large language model programs need human judgment on preferences, safety, and domain accuracy — not just more raw text. Our LLM data annotation services deliver ranking labels, policy tags, evaluation sets, and red-team corpora with rubrics your alignment team can trust.
Ranking and preference labels
Side-by-side response scoring, multi-turn preference chains, and locale-aware evaluation for global product rollouts.
Safety and policy annotation
Harm categories, refusal quality, PII handling, and jurisdiction-specific policy tags with escalations for edge cases.
Evaluation and benchmark sets
Golden evaluation prompts with adjudicated answers for regression testing across model versions.
Multilingual and domain pools
Native-language annotators for finance, healthcare, legal, and consumer domains with specialist auditor review.
Secure enterprise delivery
Encrypted ingest, role-based access, and SLAs aligned to fast-moving LLM release trains.
Get started
Plan your next alignment batch with our team — modality mix, rubric design, volume, and safety requirements — and receive a scoped pilot proposal quickly.
Industries we serve
Our annotation process
A proven calibration-to-production workflow for enterprise annotation programs.
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Project Analysis
We define labeling guidelines, class taxonomy, edge cases, and accuracy targets with your ML and product stakeholders.
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Annotation
Trained annotators label bounding boxes, masks, tracks, transcripts, or 3D cuboids in your toolchain or our workspace.
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Quality Assurance
Multi-pass review, consensus scoring, and automated checks before any dataset reaches your training jobs.
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Delivery & Support
Receive COCO, JSON, Pascal VOC, or custom exports — plus ongoing support as your models and taxonomies evolve.
Service FAQ
Answers about scope, quality, tooling, and delivery.
Preference ranking, safety classification, instruction following evaluation, red-team prompt labeling, and domain-specific rubric scoring.
Encrypted pipelines, access controls, and GDPR-aligned processing for regulated enterprise LLM programs.
Yes — with written rubrics, consensus on subjective rankings, and auditor review on safety-critical examples.
Ready to start your llm data annotation project?
Talk to our enterprise team about volume, timeline, QA targets, and pricing.