AI data annotation for models that perform
Accurate text, image and audio labelling, RLHF evaluation and multilingual data, delivered by a team with linguistics and computer science expertise.
AI data annotation and labelling
Machine learning models are only as good as the data they learn from. Inconsistent labels, misunderstood guidelines and weak language coverage lead directly to models that underperform in the real world.
Our team brings hands-on experience across leading AI data platforms, combined with academic backgrounds in linguistics and computer science. We deliver carefully reviewed annotation, model evaluation and multilingual data, including native-level coverage of languages that are often hard to source.
What’s included
Text annotation
Classification, entity recognition, sentiment and intent labelling.
Image and audio labelling
Bounding boxes, tagging, audio segmentation and speaker labelling.
RLHF and LLM evaluation
Response ranking, rating and rewriting to improve model behaviour.
Search relevance rating
Judging result quality and relevance to improve search and recommendation systems.
Transcription and translation
Accurate multilingual transcription and translation for speech and text data.
Prompt writing and red-teaming
Diverse prompts and adversarial testing to stress-test models.
How it works
- 01
Scope
We review your data, guidelines, volumes and quality targets.
- 02
Calibrate
A pilot batch confirms we match your quality standards.
- 03
Deliver
We annotate at scale with multi-pass quality review.
- 04
Report
You receive quality metrics and feedback on edge cases.
Who it’s for
Languages
Frequently asked questions
Still have questions? Ask us directly. We reply within one business day.
Which languages do you cover?
We provide native-level work in English, German and Yoruba, and working proficiency in Spanish and Turkish, which makes us particularly useful for multilingual and low-resource language projects.
How do you ensure annotation quality?
Every project starts with a calibration batch against your guidelines, followed by multi-pass review, consistency checks and clear reporting on edge cases.
Will you sign an NDA?
Yes. We’re happy to sign non-disclosure agreements and follow your data security requirements.
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