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Bishal Sarkar

Bishal Sarkar

AI Data Labeler–Text & Image Annotation,LLM Data AnnotatorPrompt Evaluation

India flagAgartala,Tripura, India
$9.00/hrIntermediateLabel Studio

Key Skills

Software

Label StudioLabel Studio

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
DocumentDocument
TextText

Top Task Types

ClassificationClassification
Computer Programming/CodingComputer Programming/Coding
Evaluation/RatingEvaluation/Rating
Question AnsweringQuestion Answering
Text SummarizationText Summarization

Freelancer Overview

I have hands-on experience in AI training tasks focused on text-based labeling, LLM response evaluation, and quality assurance. My work includes evaluating and rating AI-generated answers, performing text classification, reviewing summaries for accuracy and completeness, and identifying hallucinations or instruction-following errors. I am comfortable working with detailed guidelines and handling repetitive, detail-oriented tasks with consistency. I also have experience testing and evaluating AI agent outputs across different prompts and scenarios, helping improve response quality, relevance, and safety. My background emphasizes careful judgment, accuracy, and reliable task execution in language-focused AI training projects.

IntermediateBengaliHindiEnglish

Labeling Experience

Label Studio

Video Data Labeling Experience

Label StudioVideoClassificationText Generation
Worked on video data labeling tasks focused on identifying and annotating action-based moments in food-related videos. Responsibilities included reviewing videos based on query instructions, marking precise start and end timestamps for relevant actions such as chopping, mixing, stirring, garnishing, and finished dish reveal. Performed action classification and wrote visually grounded descriptions strictly based on what was observable on screen. Followed quality guidelines including boundary accuracy, complete coverage of all matching segments, and consistency with annotation instructions.

Worked on video data labeling tasks focused on identifying and annotating action-based moments in food-related videos. Responsibilities included reviewing videos based on query instructions, marking precise start and end timestamps for relevant actions such as chopping, mixing, stirring, garnishing, and finished dish reveal. Performed action classification and wrote visually grounded descriptions strictly based on what was observable on screen. Followed quality guidelines including boundary accuracy, complete coverage of all matching segments, and consistency with annotation instructions.

2024
Label Studio

Text Data Labeling & AI Response Evaluation

Label StudioTextClassificationQuestion Answering
Worked on text data labeling and AI response evaluation tasks for model training. Responsibilities included reviewing English text outputs, rating accuracy, clarity, relevance, and instruction adherence, and identifying errors such as hallucinations or guideline violations. Experience includes classification, quality scoring, and consistency-focused labeling following detailed project guidelines, including speech-related text and transcript evaluation.

Worked on text data labeling and AI response evaluation tasks for model training. Responsibilities included reviewing English text outputs, rating accuracy, clarity, relevance, and instruction adherence, and identifying errors such as hallucinations or guideline violations. Experience includes classification, quality scoring, and consistency-focused labeling following detailed project guidelines, including speech-related text and transcript evaluation.

2024
Label Studio

AI Data Labeling & Image Segmentation

Label StudioImageBounding BoxPolygon
Performed pixel-level image segmentation using Label Studio, focusing on identifying and refining visual defects in high-resolution images. Worked with polygon and brush tools to accurately include defect pixels while excluding background. Followed quality guidelines, reviewed annotations at high zoom levels, and made revisions based on QC feedback to ensure consistency and accuracy.

Performed pixel-level image segmentation using Label Studio, focusing on identifying and refining visual defects in high-resolution images. Worked with polygon and brush tools to accurately include defect pixels while excluding background. Followed quality guidelines, reviewed annotations at high zoom levels, and made revisions based on QC feedback to ensure consistency and accuracy.

2024

Education

H

Henry Derozio Academy

Higher Secondary, Higher Secondary

Higher Secondary
2019 - 2020
I

Icfai Tripura University

Bachelor of Arts, Psychology

Bachelor of Arts
2023

Work History

T

TranscribeMe (Freelance/Remote)

Transcription Contributor

Remote
2024 - Present
I

Independent Contractor (Remote)

Online Data & Content Reviewer

Agartala
2024 - Present