India's specialized training platform for RLHF, annotation & evaluation — in every Indian language.
Every workflow is staffed by language-native workers, verified for domain expertise, and passed through four independent QA layers before it ships.
Response ranking & evaluation in 22+ Indian languages. Native speaker pairs, preference scoring, constitutional AI prompts.
Learn more →Prompts, responses, cultural context for Hindi LLMs. Code-mixed Hinglish, regional dialects, idiomatic nuance.
Learn more →Quality scoring for Indic translation models. BLEU, COMET, and human-parallel judgment across language pairs.
Learn more →Safety evaluation in Indian context. Adversarial prompts, harmful content detection, cultural-sensitivity audits.
Learn more →Transcription, speaker tagging, emotion labeling. Accented speech, multilingual streams, and noisy field recordings.
Learn more →Legal, medical, financial annotation by verified experts. Credentialed specialists with audit trails.
Learn more →Every single task goes through 4 independent layers. No compromises.
Time checks, pattern detection, completeness guards
Claude / GPT validates 100% of tasks
A second worker independently verifies
Final approval by our QA Lead
Every worker on TrainPlex is a verified, language-native contributor. This is their work — and their income.
Preference ranking across 500 Hindi prompts for a leading foundation-model lab. Mix of urban, rural and code-mixed inputs.
Parallel evaluation across Hindi, Tamil, Bengali, Telugu and Marathi — per-language error typology delivered to client.
Adversarial Hindi prompts spanning legal, medical, finance, education and civic topics. Designed to expose LLM blindspots.
Next case study loading — multilingual audio annotation at scale. Publishing Q2 2026.
100 tasks · 5 days · full quality report. No commitment.
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