Use case: Generative AI

Generative AI training data & human judgment that shape generative models.

Generative AI training data — preference data, demonstrations, prompts and expert evaluation — to align, fine-tune and stress-test generative and multimodal models.

PromptResponse APreferredResponse B
700+
Experts & SMEs
25+
Languages
4-stage
QA workflow
100%
Human-in-the-loop
What we provide

Generative AI training data across the model lifecycle

From SFT demonstrations to RLHF rankings and red-teaming, we supply the human signal generative models need.

RLHF & Preference

  • Pairwise & ranked comparisons
  • Reward-model data
  • HHH rating
  • Multi-turn dialogue

SFT Demonstrations

  • High-quality responses
  • Instruction data
  • Style & format control
  • Domain coverage

Prompt Engineering

  • Prompt design
  • Chain-of-thought
  • Template libraries
  • Few-shot sets

Red-teaming

  • Adversarial prompts
  • Jailbreak testing
  • Bias probing
  • Safety labeling

Multimodal Data

  • Image-text pairs
  • Caption & description
  • Visual Q&A
  • Preference on media

Evaluation

  • Quality & factuality
  • Reasoning grading
  • Benchmarking
  • Regression tracking
See evaluation
In practice

Preference data, done right

RLHF

Rank, compare, improve

Trained raters and domain experts compare responses against your rubric to produce clean preference data — with calibration to keep judgments consistent.

See LLM services
PromptResponse APreferredResponse B
Training data

What generative AI training data looks like

Generative AI training data is the human signal — ranked preferences, written demonstrations, prompts and expert judgments — that teaches a base model what a good answer looks like. Graveiens produces this generative AI training data with trained raters and STEM subject-matter experts across 25+ languages, then runs it through a four-stage QA workflow so every label is consistent and defensible. Pair it with our data annotation services and LLM fine-tuning to close the loop from raw data to a shipped model.

Scope a data program
Graveiens labelsentitiesforsentimentandintent
Why Graveiens

Why teams choose Graveiens

Compliance-first delivery and a pay-on-approval model that de-risks every engagement.

STEM SME bench

Experts who can judge correctness, not just fluency.

Multilingual feedback

Alignment data beyond English.

Consistent quality

Rubric grading with calibration.

Pay on approval

Invoiced only for approved deliverables.

FAQ

Questions, answered

Do you cover RLHF and SFT?
Yes — preference data for reward modeling and high-quality demonstrations for supervised fine-tuning.
Can experts handle specialist prompts?
Yes — math, science, code, medical, legal and finance SMEs for prompts needing real judgment.
Do you do multimodal?
Yes — image-text pairs, captioning, visual Q&A and preference on generated media.
How do we start?
A small rated batch against your rubric before scaling.

Related services

Align your generative model

Send us a sample task. You only pay for deliverables you approve.

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