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M
Md Y.

Md Y.

AI Trainer & Bengali Language Specialist — Bengali text annotation for NLP models

Bangladesh flagBhaluka, Mymensingh, Bangladesh

Key Skills

Software

Other

Top Subject Matter

Bengali NLP (sentiment analysis, text classification, entity/language tagging)
Computer vision annotation (bounding boxes, polygons, keypoints)
Video annotation (keypoints, polygons, bounding boxes)

Top Data Types

TextText
ImageImage
VideoVideo
AudioAudio

Top Task Types

ClassificationClassification
Bounding BoxBounding Box
Point/Key PointPoint/Key Point
Audio RecordingAudio Recording
TranscriptionTranscription

Freelancer Overview

AI Trainer & Bengali Language Specialist — Bengali text annotation for NLP models. Core strengths include Other. Education includes Secondary Education, N/A. AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Classification, Bounding Box, and Point.

Labeling Experience

AI Trainer & Bengali Language Specialist — Transcription and subtitling labeling

OtherAudioAudioTranscriptionTranscription

Completed transcription and subtitling services for audio/video content used in AI training contexts. Produced text outputs aligned with spoken content to support speech understanding datasets. Focused on accuracy to ensure labeled text matched the audio content. • Audio transcription services. • Subtitling for audio/video content. • Dataset-ready time-aligned text where applicable. • Accuracy and quality assurance for transcripts/subtitles.

2025 - Present

AI Trainer & Bengali Language Specialist — Translation/Localization labeling

OtherTextText

Performed multilingual translation between English and Bengali while maintaining cultural nuance and context. Produced translation outputs suitable for AI training in language understanding and localization. Applied careful phrasing to preserve meaning for downstream dataset use. • English-to-Bengali and Bengali-to-English translation. • Context and cultural nuance preservation. • Translation support for AI training datasets. • Consistency-focused localization work.

2025 - Present

AI Trainer & Bengali Language Specialist — Professional voice recording for speech datasets

OtherAudioAudioAudio RecordingAudio Recording

Produced professional Bengali voice recordings for speech-to-text (STT) and text-to-speech (TTS) dataset creation. Recorded audio content with attention to clarity and dataset usability for training. Supported dataset generation by providing reliable labeled audio suitable for AI speech models. • Voice recording for STT/TTS datasets. • Audio dataset content preparation. • Speech clarity focused recording. • Support for transcription/subtitling workflows.

2025 - Present

AI Trainer & Bengali Language Specialist — Bengali NER and linguistic tagging

OtherTextText

Delivered linguistic entity recognition and tagging annotations for Bengali to improve machine learning accuracy. Added structured labels capturing entities and linguistic properties relevant to NLP training. Ensured consistency with the labeling schema for reliable model learning. • Entity recognition (NER) labeling. • Linguistic tagging for Bengali text. • Structured annotations to support ML accuracy. • Label quality alignment with NLP dataset goals.

2025 - Present

AI Trainer & Bengali Language Specialist — Video annotation for AI training

OtherVideoVideoPoint/Key PointPoint/Key Point

Created fine-grained annotations for video content intended for AI model training. Labeled keypoints and maintained temporal consistency expectations for the dataset. Focused on producing usable structured annotations for downstream learning. • Video keypoint annotation. • Support for bounding boxes across video data. • Polygon labeling for video frames/segments. • Precision-oriented quality assurance for video labels.

2025 - Present

Education

N

N/A

Secondary Education, Secondary Education

Secondary Education
Not specified

Work History

C

Company not specified

Data Annotation /Labeling & maltilengual translate + Voice Recording

Location not specified
Not specified