AI Annotation Services
High-quality AI models rely on accurately labeled datasets, and Nezda Global’s AI annotation services provide scalable, human-led solutions for companies building intelligent systems across industries. From image annotation using bounding boxes, polygons, and semantic segmentation to text annotation for entity recognition, sentiment analysis, and prompt scoring, our multilingual teams handle complex, multi-modal datasets efficiently. Audio annotation for speaker identification, intent detection, and transcription, as well as specialized medical and finance dataset annotation, ensures domain-specific quality for high-stakes applications. By leveraging human-in-the-loop AI annotation, our process integrates multi-stage QA, hallucination flagging, and RLHF scoring to minimize bias and maintain data integrity.Tool-agnostic annotation services
Nezda Global’s flexible delivery supports direct tool access, API-based uploads, batch QA, and integration with platforms like Labelbox, SuperAnnotate, Diffgram, CVAT, and LightTag, enabling seamless adoption by AI teams. Our secure workflow, including NDA-protected staff, VPN-only access, and role-based permissions, guarantees data security for sensitive datasets. With multilingual annotation services covering English, Tagalog, Hindi, Arabic, German, and Spanish, clients can scale AI models across markets and languages. Enterprises and startups alike benefit from reduced costs, faster deployment, and improved dataset quality compared to in-house labeling teams. Partnering with Nezda Global for AI annotation ensures precise, compliant, and scalable datasets that accelerate model training, reduce errors, and enhance AI performance, empowering businesses to deploy smarter and more reliable AI solutions globally.Training Tomorrow's AI
with Human-Led Precision.

Your Strategic Outsourcing Partner
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The Market Challenge
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Our Solution
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Language & Tooling Coverage
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ROI Example
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Delivery Model + SOPs
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Security Protocols
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Differentiators
AI teams are under pressure to:
• Build models with better precision
• Label multi-modal datasets at scale
• Control QA and avoid hallucinations
• Ensure annotation security and bias audits
The problem?

Task Type | Examples | Price Range |
Image/Video | Object tagging, bounding boxes, polygons, semantic segmentation | $0.02–$0.10/image |
Text/NLP | Entity recognition, sentiment analysis, classification, prompt scoring | $0.03–$0.08/text unit |
Audio | Speaker ID, intent detection, transcription, classification | $0.06–$0.15/audio min |
Medical/Finance Datasets | ICD coding, billing QA, financial document tagging | $0.08–$0.20/item |
QA-as-a-Service | Multi-stage QA, flagging, and reporting | $300–$700/month |
Full RLHF Workflows | Prompt evaluation, hallucination flagging, preference ranking | — |

Language & Tooling Coverage
English, Tagalog, Hindi, Arabic, German, Spanish
Custom tools, Scale, Labelbox, SuperAnnotate, Diffgram, CVAT, LightTag
Direct tool access, API-based upload/download, batch QA

In-house data team (US/EU)
$8,000/month for 2 annotators + infrastructure overhead
Nezda team (PH)
$1,200/month per annotator + bundled QA
Savings
$5,000–$10,000 per model phase
Time to scale
2–3 days vs. 4–6 weeks hiring delay

4. Weekly reports with error breakdowns


Feature Nezda
1. Medical and finance labeling expertise
3. Prompt scoring and LLM evaluation
5. Trained Philippine workforce
7. Flexible pricing by geography

Case Studies

US AI Startup
→ 50,000+ medical image tags

UAE Voice AI Company

EU FinTech
Optional Add-On Services
RLHF
scoring tasks
QA-only
annotation review
Data
pipeline support
Internal tool
onboarding
Multilingual
dataset expansion
Power Your AI Model with Human Accuracy.