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Sanchit B.

Sanchit B.

AI / LLM Annotator & Evaluator (Freelance) | Innodata

India flagNew Delhi, India

Key Skills

Software

Other
LabelboxLabelbox

Top Subject Matter

Conversational AI
ASR transcription
LLM evaluation (English/Hindi)

Top Data Types

ImageImage
VideoVideo
TextText
AudioAudio
DocumentDocument

Top Task Types

Bounding BoxBounding Box
TrackingTracking
Text SummarizationText Summarization
RLHFRLHF
Audio RecordingAudio Recording
TranscriptionTranscription
SegmentationSegmentation
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Data CollectionData Collection

Freelancer Overview

AI / LLM Annotator & Evaluator (Freelance) | Innodata. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Innodata Internal Tools, Other, and Labelbox. Education includes Master of Science, WorldQuant University (2025) and Bachelor of Arts, Ambedkar University, Delhi (2023). AI-training focus includes data types such as Audio, Document, and Text and labeling workflows including Audio Recording, Evaluation, and Rating.

Labeling Experience

Labelbox

AI/LLM Analyst - Innodata

LabelboxLabelboxTextTextSegmentationSegmentationRLHFRLHF

You evaluate and annotate AI and LLM-generated outputs, assessing factual accuracy, response quality, and alignment with user intent. You design and develop prompts to stress-test AI systems and identify edge cases across reasoning, perception, and language understanding. You analyze and compare model responses using structured rubrics to provide feedback that refines model behavior. • Conduct quality evaluation of AI/LLM outputs • Build prompt suites for robustness testing • Use rubrics and scoring to compare responses • Collaborate to maintain consistent quality for generative AI pipelines

2026 - Present

AI / LLM Annotator & Evaluator (Freelance) | Innodata

AudioAudioAudio RecordingAudio RecordingSegmentationSegmentation

Executed Speech-to-Speech (S2S) audio evaluation for conversational AI, focusing on naturalness, audio quality, and persona likeness. Completed ASR transcription with timestamp alignment and speaker diarisation across diverse accents and domains. Assessed multimodal audio-related tasks as part of scalable, zero-error annotation workflows for LLM and speech system quality. • S2S audio evaluation (naturalness, quality, persona likeness) • ASR transcription with timestamps and speaker diarisation • Stress-tested language understanding across English and Hindi prompts • Supported internal certification requirements for annotation fundamentals

2026 - Present

Subject Matter Expert – Research & Analytics | Vaidik Eduservices Pvt. Ltd.

OtherDocumentDocumentData CollectionData Collection

Researched and structured economics modules to create high-quality content usable for consistent dataset creation and annotation quality. Applied rigorous QC practices to ensure zero-error research outputs under tight deadlines. Supported analytics work that improved downstream interpretation quality for AI/data pipelines. • Structured 50+ economics modules for dataset consistency • Zero-error outputs via rigorous quality control • Research/analytics contributions supporting AI dataset reliability • Deadline-driven execution supporting data work

2023 - 2025

I worked on a live Speech-to-Speech (S2S) AI model, where I trained and evaluated speech models across different scenari

I worked on a live Speech-to-Speech (S2S) AI model, where I trained and evaluated speech models across different scenarios. My role involved comparing model responses and rating them across multiple categories such as accuracy, relevance, naturalness, and overall performance to determine which model performed better.

Not specified

Education

A

Ambedkar University, Delhi

Bachelor of Arts, Economics

Bachelor of Arts
2020 - 2023
W

WorldQuant University

Master of Science, Financial Engineering

Master of Science
2025

Work History

I

Innodata

AI/LLM Analyst

New Delhi
2026 - Present
V

Vaidik Eduservices Private Limited

Subject Matter Expert (Economics Research)

New Delhi
2023 - 2025