Your generative AI model—whether LLM, image generator, or code assistant—needs massive volumes of high-quality training data. Pre-training requires clean, diverse text corpora. Fine-tuning demands instruction-completion pairs. RLHF needs human preference rankings. Safety alignment requires adversarial testing. But creating training datasets at scale requires consistency, domain expertise, multilingual capability, and specialized skills most organizations lack.
The result? Models trained on inadequate data produce biased outputs, factual errors, safety issues, and fail to meet business requirements. Poor training data quality directly translates to poor model performance—no amount of clever architecture compensates for bad data.
FiveS Digital delivers end-to-end generative AI training data—from pre-training corpus preparation to RLHF preference labeling to ongoing model refinement and safety alignment.
With 16+ years managing AI data operations and 3,500+ trained workforce across 9 Indian locations with fluency in 15+ Indian languages plus English, we handle text annotation (instruction tuning, RLHF, safety alignment), image-text pairs (captioning, quality evaluation), code datasets (completion examples, quality assessment), and multimodal data (vision-language, audio-text). Deploy pilot projects in 2-3 weeks demonstrating quality before scaling to production volumes processing millions of annotations monthly.
We support LLMs (instruction tuning, preference labeling, safety testing), image generation models (caption writing, quality ranking), code models (example creation, evaluation), and multimodal systems—training annotators on your specific requirements, guidelines, and quality standards.
Schedule Free Consultation - Discuss your generative AI project, training data needs, and quality expectations with our team.
