Enterprise Data Annotation Services for AI & Machine Learning Models
At Welo Data, we help enterprise AI leaders operationalize trust with enterprise data annotation services designed for production-grade AI.
Our culturally representative, human-in-the-loop annotation workflows are powered by subject matter experts, continuous proprietary quality systems, and auditable infrastructure training your AI models to be safer, precise, and effective across multilingual, diverse markets, industries, and cultural contexts.
Professional Data Annotation Services Across All Data Types
Train models to understand not just language, but the cultural context and domain-specific nuance behind it—using high-precision AI data labeling and custom taxonomies.
- Multimodal Summarization and Description — Create fluent, domain-specific summaries using extractive and abstractive techniques.
- Sentiment & Emotion Labeling — Detect polarity (positive/negative/neutral) and nuanced emotional tone across 150+ languages.
- Named Entity Recognition (NER) — Identify and classify entities across domains with precision taxonomies and multilingual annotation expertise.
- Custom Taxonomy Development — Build or expand classification systems tailored to your industry and locale requirements. Annotated data sets are aligned and grounded to link across the data sets
Capture complexity in voice and media inputs for conversational and multimodal AI systems.
- ASR Training & Evaluation — High-quality transcriptions and acoustic labeling, with accuracy benchmarking across languages.
- Classification Tasks — Binary, multiclass, and multilabel annotation for utterances, video segments, and conversational flows.
- Conversational AI Labeling — Intent detection, safety annotation, and multilingual chatbot training with expert-in-the-loop oversight.
Support detection, segmentation, and scene analysis for enterprise computer vision applications.
- Sensor Fusion — Annotate LIDAR, RADAR, thermal, or multispectral inputs with aligned accuracy standards.
- Bounding Boxes & Segmentation — Object identification using polygons, keypoints, and semantic labeling with pixel-level precision.
- Object Tracking — Follow subjects across time-series video or multisensor inputs with consistent annotation quality.
Link and structure knowledge across documents, databases, and knowledge graphs.
- Coreference Resolution — Group and resolve entities mentioned under different terms or expressions across multilingual content.
- Entity Linking — Disambiguate and normalize references to canonical knowledge graphs with domain expertise.
- Relationship Mapping — Define roles, dependencies, and event-based relationships between entities with semantic precision.
Why Choose Welo Data for AI Data Annotation Services
Human-in-the-loop QA at scale
Rubric-based workflows, real-time audits and support, and retraining loops ensure consistent, compliance grade data annotation quality.
Audit-ready trust layer
Our proprietary NIMO quality monitoring system flags fraud, enforces compliance, and tracks rater behavior in real time.
Multilingual, multicultural, and domain-specific depth
150+ languages, 300+ locales, and tiered contributor pools—from generalists to L3 domain experts—paired with deep cultural understanding that goes beyond translation to capture how people think, decide, and communicate.
Enterprise-grade delivery
ISO-certified data annotation infrastructure with flexible deployment in secure facilities, embedded workflows, or fully managed remote teams—tailored to your team’s requirements.
How Our Data Annotation Process Works
Expert Contributor Sourcing
Right-fit contributors selected for language, domain, and task-specific expertise through rigorous vetting.
Structured Annotation Workflows
Workflows built around your schema and unique goals with rubric-driven QA and real-time contributor calibration.
Quality Assurance & Auditing
Live spot checks, embedded quality validation, and our proprietary NIMO quality monitoring system.
Continuous Performance Optimization
Each iteration drives measurable gains through a continuous feedback loop, with transparent quality metrics, benchmarking, and real-world validation.
Proven Data Annotation Performance
“The realism of generative AI models is increasingly reliant on trusted, high-quality human feedback. Welo Data has been a leader in this space for years.”
— AI Search Engine Leader, 2024
Frequently Asked Questions
Here’s what sets us apart:
- Specialized, right-fit teams from day one – We don’t start with a generic pool and filter later. We align the exact contributors you need up front, based on domain expertise, cultural fluency, and task-specific qualifications.
- Human-in-the-loop, audit-ready quality systems – Continuous rubric-driven QA, behavioral monitoring, and feedback loops that improve accuracy, tone, and consistency over time—not just compliance.
- Enterprise-grade identity verification (NIMO) – Our proprietary identity and fraud-detection framework catches misrepresentation before it impacts your data, with 96% compliance and ongoing reverification.
- LLM-aware quality controls – Real-time linting, exception reporting, hybrid human+AI review, and automated edge-case detection keep pace with evolving model risks.
- Rapid deployment without operational disruption – Dedicated project teams launch and scale without pulling your internal teams away from their priorities.
- Proof, not promises – We show measurable impact on model performance through custom metrics, inter-annotator agreement tracking, and client-specific quality scoring.
The result: You get multilingual, domain-specific annotation that’s verified, consistent, and production-ready—delivered by a partner who knows how to meet enterprise expectations without slowing you down.
Our human-in-the-loop annotation approach combines expert contributors, ISO-certified data annotation, and proprietary NIMO technology for real-time quality monitoring. This delivers >90% quality scores and consistent accuracy improvements across all data types.
We move quickly and responsibly—especially for regulated, time-sensitive, or mission-critical programs. Our global reach and tiered sourcing help us balance speed with quality. We leverage custom AI qualifications assessments and AI derived L&D to continuously vet and train our resources.
We’re the human-in-the-loop layer that makes your models safer and smarter—supporting annotation, QA, evaluation, and continuous improvement. We primarily support post training efforts, validation and evaluation.
- Legal
- Automotive
- Foundational Model Companies
- Enterprise (cross-domain)
- Media
- Life Sciences
- Healthcare
- Fintech
- Engineering
- Telecom
Ready to Improve Your AI Model Performance?
Let’s scope your next AI data labeling project. We’ll help you define requirements, align on quality assurance for AI models, and show how Welo Data’s enterprise-grade services deliver production-ready results.
Resources & Case Studies
Improving LLM Reasoning Through Expert-Level Research Prompts and Structured Evaluation
Discover how a top AI company used expert prompts and…
CASE STUDY: Ensuring Trust and Integrity in Quality Raters
Discover how Welo Data’s NIMO helped a leading tech giant…
Related Services
Explore how our data annotation services integrate with comprehensive AI development workflows.
Supervised Fine Tuning Services
Expert annotation workflows complement model training
Reinforcement Learning with Human Feedback (RLHF)
Human feedback requires high-quality annotated datasets
Quality Framework
Standards that ensure annotation accuracy and consistency
Model Benchmarking
Validate annotation quality impact on AI model performance
Get in Touch
Contact us today to talk about your next project and discover what’s possible!