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AI & DATA SERVICES

Data Annotation & AI Training
Data, in Partnership with Annotera

Ameridial and Annotera deliver secure, high-accuracy training data — text, image, audio, and video — for teams building, fine-tuning, and evaluating AI models.

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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

Every dataset is built through standardized workflows, domain-trained annotators, and multi-layer quality control.

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

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

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

Ameridial and Annotera tailor annotation workflows to the data types, accuracy thresholds, and compliance requirements of each kind of AI program — from foundation-model labs to regulated healthcare AI.
AI Research Labs

AI Research Labs & Foundation-Model Teams

High-volume fine-tuning data, RLHF preference annotation, adversarial red-teaming, and safety evaluation — delivered by trained annotators across global delivery centers at the speed model development demands. (LLM & GenAI)
Healthcare AI & Digital Health Companies

Healthcare AI & Digital Health Companies

Clinical NLP, medical-imaging, and healthcare conversational-AI datasets built within HIPAA-aware, access-controlled workflows — combining Ameridial’s regulated-healthcare experience with Annotera’s annotation infrastructure. (Differentiated angle for the Ameridial brand.)
Computer Vision, Autonomous & Robotics Teams

Computer Vision, Autonomous & Robotics Teams

Annotated image, video, LiDAR, and point-cloud datasets — bounding boxes, segmentation, and 3D labeling — that train perception models for autonomous vehicles, robotics, and connected devices. (Robotics)
arya

Enterprise ML & Conversational AI Teams

Multilingual text, audio, & intent-labeled datasets that power enterprise conversational AI, virtual assistants, & machine-translation models across global markets.
AI
AI Teams

Technology & Workflow Behind Every Dataset

AI-assisted tooling and human expertise combine to deliver accuracy at scale.
AI-Assisted Pre-Labeling

AI-Assisted Pre-Labeling

Automated pre-labeling accelerates throughput on large datasets before human review.

Human-in-the-Loop Review

Human-in-the-Loop Review

Domain-trained annotators verify, correct, and refine every label for context and accuracy.

Multi-Layer QA Framework

Multi-Layer QA Framework

Annotator review, team-lead spot checks, & independent QA validation sustain 99%+ accuracy.

Why Choose Ameridial & Annotera for AI Training Data

Regulated-domain experience, a trained annotation workforce, and compliance-led delivery.

Domain-Trained, Not Crowdsourced

Dedicated annotators trained on your domain — the same team scales from pilot to production, reducing error rates over time.
Accuracy

99%+ Accuracy via Three-Layer QA

Annotator review, team-lead spot checks, and independent validation across image, video, audio, and text.
hipaa

HIPAA-Aware, ISO 27001-Aligned Security

Sensitive and healthcare data is processed in secured, access-controlled environments, with GDPR-compliant handling for EU clients.

Regulated-Healthcare Expertise

Nearly four decades of HIPAA-compliant healthcare operations make Ameridial a differentiated partner for healthcare and life-sciences AI data.

Scale Across Data Types & Languages

350+ annotators across global delivery centers handle text, image, audio, & video in multiple languages.
Flexible-onshore

Flexible Onshore + Global Delivery

Projects can begin within 48 hours and scale with onshore and global teams to match volume, turnaround, and budget.
PCI:DSS Certified

PCI DSS 4.0.1

ISO-27001

ISO 27001:2022

HIPAA Compliant

HIPAA Compliant

AICPA SOC 2

SOC 2 Type II

MBE-Certification

MBE

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    Frequently Asked Questions (FAQs)

    These FAQs cover service scope, data types, security, accuracy, and timelines.

    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.

    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.

    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.

    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.

    Pilot projects can begin within 48 hours, then scale across 350+ annotators and global delivery centers as volume grows.

    Still have questions? 
    Schedule a consultation with our team.

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