Data Annotation & AI Training
Data, in Partnership with Annotera
Data Annotation & AI Training Data Services
Ameridial, with annotation partner Annotera, builds the high-quality, human-labeled datasets that AI models depend on — delivered through secure, compliance-led workflows.
AI models are only as good as the data they learn from. Teams building large language models, computer vision systems, & conversational AI need large volumes of accurately labeled text, image, audio & video data. In-house labeling is slow to scale, hard to keep consistent, and difficult to govern — especially when the data is sensitive or regulated.
Through its partnership with Annotera, Ameridial delivers end-to-end data annotation & data collection across text, image, audio, & video. Domain-trained annotators – not anonymous crowds -label data through structured, human-in-the-loop workflows, with AI-assisted pre-labeling to accelerate throughput & a multi-layer QA framework that holds accuracy above 99%.
The result is reliable training data at the volume, speed, & accuracy modern AI development requires -backed by ISO 27001-aligned security, HIPAA-aware handling for healthcare AI, & onshore-plus-global delivery that scales from pilot to production.
Data Annotation Services We Deliver
Text & NLP
Annotation
Entity recognition, intent classification, sentiment labeling, and semantic annotation that train accurate NLP, conversational AI, and LLM datasets. (Annotera: semantic annotation)
Image & Video Annotation
(Computer Vision)
Bounding boxes, polygons, semantic segmentation, and keypoint labeling for computer vision across autonomous systems, robotics, retail, and healthcare imaging.
Audio & Speech
Annotation
Transcription, classification, and speech labeling across multiple languages to train speech-recognition and voice-AI models.
(Annotera: multilingual)
LLM, RLHF &
.Generative AI Data
Supervised fine-tuning datasets, RLHF preference annotation, adversarial red-teaming, and AI safety evaluation for large language and generative AI models.
(Annotera: LLM & GenAI)
AI Teams We Support
AI Research Labs & Foundation-Model Teams
Healthcare AI & Digital Health Companies
Computer Vision, Autonomous & Robotics Teams
Enterprise ML & Conversational AI Teams
Technology & Workflow Behind Every Dataset
AI-Assisted Pre-Labeling
Automated pre-labeling accelerates throughput on large datasets before human review.
Human-in-the-Loop Review
Domain-trained annotators verify, correct, and refine every label for context and accuracy.
Multi-Layer QA Framework
Annotator review, team-lead spot checks, & independent QA validation sustain 99%+ accuracy.
Why Choose Ameridial & Annotera for AI Training Data
PCI DSS 4.0.1
ISO 27001:2022
HIPAA Compliant
SOC 2 Type II
MBE
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Frequently Asked Questions (FAQs)
What are data annotation and AI training data services?
Data annotation is the labeling of text, images, audio, and video so AI models can learn from them. Ameridial, with Annotera, produces the high-quality labeled datasets that train, fine-tune, and evaluate machine-learning and AI models.
What types of data can you annotate?
Text and NLP, image and video for computer vision, audio and speech, and LLM/generative-AI data including fine-tuning, RLHF preference labeling, and safety evaluation.
How do you keep sensitive or healthcare data secure?
Data is processed in secured, access-controlled environments under ISO 27001-aligned practices, with HIPAA-aware workflows for healthcare AI and GDPR-compliant handling for EU clients.
How do you ensure annotation accuracy?
A three-layer quality framework — annotator review, team-lead spot checks, and independent QA validation — sustains 99%+ accuracy, supported by domain-trained annotators and AI-assisted pre-labeling.
How quickly can a project start and scale?
Still have questions?
Schedule a consultation with our team.
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