Training Data for Generative AI
High-quality, multimodal training data to fine-tune, evaluate and scale your generative AI – backed by global experts and human-in-the-loop services.
Our training data for Generative AI at a glance
Data collection
- Expert resources
- Collection and curation of domain specific data from reliable sources for training and fine tuning LLMs
- Language model expansion
- Text, Image, Video, Speech and non-speech audio data
Data
creation
- Domain-specific text creation
- Prompt creation/fine tuning
- Adversarial prompting
- Scenario-driven datasets
- Contextually guided dialogues
- Controlled diverse outputs
Data evaluation
- AI red teaming
- RLHF services
- Quality and accuracy assessment
- Language model benchmarking
- Ethical AI assessment
Data annotation
- Semantic chunking
- Image/video description, captioning, and correction
- PII redaction
- Text & speech annotation
- Toxic language identification
- Image, Video & Multimodal annotation
Why GenAI leaders work with LXT
Human Intelligence Built-In
Expert-in-the-loop services from prompt tuning to RLHF and ethical evaluation.
Multimodal & Multilingual
Speech, text, image, video – across 1,000+ language locales and cultural contexts.
Precision Across Domains
From legal to finance to retail: customized training data for generative AI aligned to your industry and product.
Robust Model Evaluation
Services for RLHF, red teaming, hallucination testing, safety and bias detection.
Built to Scale
8M+ global crowd, 250K+ domain experts, ISO-certified facilities on 3 continents.
Guaranteed Accuracy
100% quality guarantee. Multi-layer QA, expert review, analytics & gold tasks.
Where LXT fits in your GenAI stack
Generative AI models vary widely in structure, purpose, and data requirements. Whether you're working on a text-only LLM or a multimodal system, each architecture demands a different mix of curated training data, human feedback, and evaluation workflows. The following overview shows common GenAI model types, their training data requirements, and the LXT services that support them.
LLMs & SLMs
Chatbots, assistants, summarization, search
What You Need:
Domain-specific text data, tuned prompts, RLHF and red teaming
LXT Delivers:
Voice AI / TTS
Conversational agents, emotional speech, IVR
What You Need:
Natural-sounding speech, emotion/prosody labels, TTS model validation
LXT Delivers:
Multimodal & VLMs
Text-to-image, video captioning, visual agents
What You Need:
Aligned image-text pairs, metadata, visual QA
LXT Delivers:
RAG-Based Models
Document Q&A, enterprise search, legal/finance bots
What You Need:
Chunked documents, metadata tagging, retrieval optimization
LXT Delivers:
Ethical & Safety GenAI
Bias mitigation, hallucination control, red teaming
What You Need:
Adversarial prompts, diverse judgment, toxicity and PII checks
LXT Delivers:
Personalization Models
Marketing copy, UX text, dynamic content generation
What You Need:
User-segmented data, tone/style control, contextual evaluation
LXT Delivers:
How it works
From scoped pilot to scalable delivery – designed for enterprise-grade GenAI.
Step-by-Step Process
1. Define scope & success metrics
We work with your team to clarify use case, volume, modalities, and evaluation criteria.
2. Pilot with gold tasks
We launch a small-scale project to calibrate guidelines, quality thresholds, and review flows.
3. Guideline refinement & training
Contributor onboarding, test runs, and domain expert calibration ensure consistency.
4. Scaled production with QA layers
Your generative AI training data is delivered at scale with built-in multi-pass QA, spot checks, and analytics.
5. Human-in-the-loop evaluation
RLHF, output scoring, bias reviews or red teaming performed by trained contributors or domain experts.
6. Secure delivery & feedback loop
Final data and insights are transferred via secure channels; feedback informs continuous improvement.
Quality assurance built in
- Multi-pass review workflows
Every data item goes through trained annotators, reviewers, and spot checks. - Gold tasks and benchmarking
Used in pilots and live production to track quality, drift, and annotator performance. - Expert calibration
Domain experts validate labeling guidelines and contribute directly for specialized tasks. - Data analytics dashboards
Real-time accuracy, throughput and performance metrics available upon request.
Enterprise-grade security
& compliance
-
Secure infrastructure
ISO 27001 certified delivery centers in Canada, Egypt, India, Romania
(five total certified sites) -
Data privacy by design
GDPR, HIPAA compliance.
PII redaction, secure file handling, VPN/VPC options. -
NDAs and legal coverage
We support your preferred legal framework or provide standard NDAs.
Use cases & examples
Real-world generative AI projects we support – across industries and functions.
Legal GenAI Assistants
Train LLMs to handle contracts, compliance, and case summaries with confidence.
→ Domain-specific text creation, document chunking, RLHF, ethical evaluation
Medical Knowledge Models
Support diagnosis, patient guidance, or drug discovery via safe and accurate GenAI.
→ Expert-generated text, bias review, red teaming, multilingual QA
Retail & eCommerce Personalization
Generate product descriptions, marketing content, and conversational shopping agents.
→ Segment-specific prompt tuning, tone/style evaluation, UX feedback scoring
Enterprise Document Chatbots
Build secure GenAI solutions for finance, HR, legal and knowledge bases.
→ Semantic chunking, retrieval optimization, hallucination detection
Text-to-Image Model Tuning
Improve visual outputs for brand alignment, accessibility, or culture fit.
→ Image collection, caption correction, output scoring across markets
Voice AI / Emotional Speech
Train emotionally nuanced, multilingual voice assistants or IVR systems.
→ Speech data, emotion labeling, prosody analysis, TTS evaluation
FAQs on our training data for Generative AI services
Pricing depends on multiple factors including data modality, project complexity, quality requirements, language coverage, and delivery timelines. We’ll provide a detailed quote after a short scoping call to understand your needs.
Yes. We support mutual NDAs and can align with your enterprise data-handling requirements. Our team also works within secure VPC/VPN environments where needed.
We use a multi-layer QA process including gold tasks, expert calibration, reviewer validation and accuracy tracking. Each project includes pilot testing and real-time quality monitoring.
We support LLMs, SLMs, VLMs, RAG architectures, and personalization models across all modalities. Our services are tailored to your model type, domain and region.
We typically launch pilots within 1–2 weeks of scope approval. Production timelines depend on volume, QA depth, and languages but are designed for rapid scale-up.
Yes. We provide red teaming, adversarial prompting, and ethical AI assessments using diverse human reviewers to surface bias, hallucinations and content risks.
Ready to Elevate Your GenAI Performance?
Let’s scope your project and get you the training data for generative AI you need – human-validated, secure, and tailored to your model architecture.