Udit Tiwari

Key Skills

Software

AWS SageMaker

Appen

Clickworker

Google Cloud Vertex AI

Labelbox

Mercor

OneForma

Mindrift

Toloka

Other

Top Subject Matter

Enterprise Software

Workflow Automation

General Knowledge Q&A

Top Data Types

Image

Video

Text

Top Task Types

Classification

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Text Summarization

Question Answering

Text Generation

Freelancer Overview

AI Training Contributor – Fleet AI. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Clickworker. Education includes Master of Computer Applications, L.N.C.T University (2024) and Bachelor of Arts, Model Science College (2022). AI-training focus includes data types such as Text, Image, and Document and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Machine Learning Intern – Fintechedu

DocumentData Collection

During my machine learning internship at Fintechedu, I performed dataset validation and cleaning for ML pipelines. I prepared structured training datasets using Python and Excel and conducted accuracy checks. My work ensured high-quality, clean datasets for downstream AI model performance. • Validated, cleaned, and prepared ML datasets. • Checked data integrity and annotation accuracy. • Used Python (Pandas) and Excel for dataset processing. • Enabled robust model training with validated data.

During my machine learning internship at Fintechedu, I performed dataset validation and cleaning for ML pipelines. I prepared structured training datasets using Python and Excel and conducted accuracy checks. My work ensured high-quality, clean datasets for downstream AI model performance. • Validated, cleaned, and prepared ML datasets. • Checked data integrity and annotation accuracy. • Used Python (Pandas) and Excel for dataset processing. • Enabled robust model training with validated data.

2023 - 2024

Biometric Verification Dataset Study – Onfido

ImageData Collection

In the Biometric Verification Dataset Study at Onfido, I participated in dataset creation for biometric authentication models. I matched selfie images with identity documents to create training datasets for identity verification. I supported the development of robust, accurate biometric verification AI systems. • Collected and matched biometric image pairs for data labeling. • Helped build training sets for facial recognition models. • Ensured privacy compliance and data quality standards. • Contributed to identity verification AI model improvement.

In the Biometric Verification Dataset Study at Onfido, I participated in dataset creation for biometric authentication models. I matched selfie images with identity documents to create training datasets for identity verification. I supported the development of robust, accurate biometric verification AI systems. • Collected and matched biometric image pairs for data labeling. • Helped build training sets for facial recognition models. • Ensured privacy compliance and data quality standards. • Contributed to identity verification AI model improvement.

2023 - 2023

AI Model Training Contributor – Gemini India AI Training Program

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As an AI model training contributor for the Gemini India AI Training Program, I evaluated Gemini AI responses for correctness and usefulness. I systematically identified hallucinated outputs and reasoning errors in AI answer generation. I delivered structured human feedback to improve AI answer quality for large language model fine-tuning. • Reviewed and rated AI-generated answers for logic and clarity. • Flagged and documented hallucinations and inconsistencies. • Provided feedback to enhance AI dialogue quality. • Supported large language model fine-tuning workflows.

As an AI model training contributor for the Gemini India AI Training Program, I evaluated Gemini AI responses for correctness and usefulness. I systematically identified hallucinated outputs and reasoning errors in AI answer generation. I delivered structured human feedback to improve AI answer quality for large language model fine-tuning. • Reviewed and rated AI-generated answers for logic and clarity. • Flagged and documented hallucinations and inconsistencies. • Provided feedback to enhance AI dialogue quality. • Supported large language model fine-tuning workflows.

2023 - 2023

AI Training Contributor – Fleet AI

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As an AI training contributor, I completed over 50 accepted AI training tasks across various enterprise environments. I evaluated AI outputs for accuracy, reasoning quality, and instruction compliance. I provided structured feedback to optimize AI model responses and flag hallucinated or incomplete outputs. • Performed evaluation of AI-generated responses using workflow tasks. • Flagged AI reasoning errors and hallucinations in outputs. • Provided detailed human feedback on AI system performance. • Worked across software environments such as Jira, Outlook, and DocuSign.

As an AI training contributor, I completed over 50 accepted AI training tasks across various enterprise environments. I evaluated AI outputs for accuracy, reasoning quality, and instruction compliance. I provided structured feedback to optimize AI model responses and flag hallucinated or incomplete outputs. • Performed evaluation of AI-generated responses using workflow tasks. • Flagged AI reasoning errors and hallucinations in outputs. • Provided detailed human feedback on AI system performance. • Worked across software environments such as Jira, Outlook, and DocuSign.

2023 - 2023

Data Annotation Contributor – Clickworker

ClickworkerImageClassification

As a data annotation contributor at Clickworker, I performed image classification and dataset annotation for machine learning purposes. I verified the accuracy of object labeling and performed quality checks on labeled image datasets. I contributed to the preparation of high-quality visual data for AI model training. • Conducted image annotation tasks using predefined classes. • Validated object labeling accuracy and corrected errors. • Ensured consistency across large batches of images. • Supported the development of machine learning-ready datasets.

As a data annotation contributor at Clickworker, I performed image classification and dataset annotation for machine learning purposes. I verified the accuracy of object labeling and performed quality checks on labeled image datasets. I contributed to the preparation of high-quality visual data for AI model training. • Conducted image annotation tasks using predefined classes. • Validated object labeling accuracy and corrected errors. • Ensured consistency across large batches of images. • Supported the development of machine learning-ready datasets.

2022 - 2023

Education

Work History