Md Jakariya Hossain

Key Skills

Software

Toloka

Img Lab

Labelbox

LabelImg

Label Studio

LightTag

Lionbridge

Mercor

Micro1

Mighty AI

Mindrift

OneForma

OpenCV AI Kit (OAK)

Playment

Prodigy

Redbrick AI

Roboflow

Sama

Scale AI

Sloth

Snorkel AI

SuperAnnotate

Supervisely

Tagtog

Telus

Trilldata Technologies

VoTT

V7 Labs

Other

Appen

Argilla

Axiom AI

Clickworker

CloudFactory

CrowdFlower

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Datatroniq

Datumbox

Datasaur

Datature

Dataturk

Deep Systems

Doccano

Diffgram

Hasty

HiveMind

Top Subject Matter

General Image Analysis

General Video Analysis

Text/NLP Analysis

Top Data Types

Image

Video

Text

Audio

3D Sensor

Top Task Types

Bounding Box

Classification

Transcription

Segmentation

Polyline

Polygon

Entity (NER) Classification

Point/Key Point

Cuboid

Object Detection

Text Generation

Question Answering

Text Summarization

RLHF

Fine-tuning

Red Teaming

Evaluation/Rating

Data Collection

Function Calling

Prompt + Response Writing (SFT)

Freelancer Overview

Data Labeling Specialist – Toloka. Core strengths include Toloka and Remotasks. Education includes Bachelor of Science, Dhaka International University (2020) and Diploma in Engineering, Sirajganj Polytechnic Institute (2020). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Bounding Box, Frame annotation, and Classification.

Labeling Experience

Data Labeling Specialist – Remotasks

Remotasks3D SensorSegmentation

At Remotasks, I worked on LiDAR data annotation for various AI training projects. I applied segmentation and labeling techniques to 3D sensor data, ensuring the details matched the required specifications. The tasks required a structured and consistent approach to 3D dataset management. • Segmented LiDAR point clouds. • Labeled objects within 3D sensor data. • Verified labels for annotation accuracy. • Supported the development of high-quality AI models with labeled 3D data.

At Remotasks, I worked on LiDAR data annotation for various AI training projects. I applied segmentation and labeling techniques to 3D sensor data, ensuring the details matched the required specifications. The tasks required a structured and consistent approach to 3D dataset management. • Segmented LiDAR point clouds. • Labeled objects within 3D sensor data. • Verified labels for annotation accuracy. • Supported the development of high-quality AI models with labeled 3D data.

Not specified

Data Labeling Specialist – Remotasks

RemotasksAudioTranscription

In my role at Remotasks, I transcribed and labeled audio datasets to support speech recognition and other AI applications. Ensuring data quality was a main priority during annotation. The experience involved careful listening and precise transcription work. • Provided audio transcription for training datasets. • Labeled speaker turns and sound events. • Reviewed and corrected transcribed segments. • Collaborated on audio QA processes.

In my role at Remotasks, I transcribed and labeled audio datasets to support speech recognition and other AI applications. Ensuring data quality was a main priority during annotation. The experience involved careful listening and precise transcription work. • Provided audio transcription for training datasets. • Labeled speaker turns and sound events. • Reviewed and corrected transcribed segments. • Collaborated on audio QA processes.

Not specified

Data Labeling Specialist – Remotasks

RemotasksTextClassification

As a Data Labeling Specialist at Remotasks, I classified and annotated text datasets for natural language processing applications. My work involved reviewing and correcting errors to ensure accurate labeled outputs. I managed multiple datasets with emphasis on efficiency and detail. • Performed text classification and labeling. • Conducted error correction for text annotations. • Assisted in quality assurance checks. • Worked on diverse NLP labeling tasks.

As a Data Labeling Specialist at Remotasks, I classified and annotated text datasets for natural language processing applications. My work involved reviewing and correcting errors to ensure accurate labeled outputs. I managed multiple datasets with emphasis on efficiency and detail. • Performed text classification and labeling. • Conducted error correction for text annotations. • Assisted in quality assurance checks. • Worked on diverse NLP labeling tasks.

Not specified

Data Labeling Specialist – Toloka

TolokaVideo

As a Data Labeling Specialist at Toloka, I annotated video datasets by marking objects and actions on a frame-by-frame basis. I adhered closely to guidelines to support accurate AI model training. Consistency and attention to detail were vital throughout the project. • Labeled video frames according to instructions. • Used annotation tools for video segment identification. • Double-checked work for accuracy. • Contributed to data quality assurance processes.

As a Data Labeling Specialist at Toloka, I annotated video datasets by marking objects and actions on a frame-by-frame basis. I adhered closely to guidelines to support accurate AI model training. Consistency and attention to detail were vital throughout the project. • Labeled video frames according to instructions. • Used annotation tools for video segment identification. • Double-checked work for accuracy. • Contributed to data quality assurance processes.

Not specified

Data Labeling Specialist – Toloka

TolokaImageBounding Box

As a Data Labeling Specialist at Toloka, I performed image and video labeling tasks with a strong focus on precision. My primary responsibility was to accurately annotate large datasets following detailed project guidelines. Quality and consistency were maintained across all assignments. • Performed image annotation using bounding boxes and segmentation. • Maintained high accuracy for labeled samples. • Adhered strictly to provided labeling instructions. • Ensured dataset consistency via thorough reviews.

As a Data Labeling Specialist at Toloka, I performed image and video labeling tasks with a strong focus on precision. My primary responsibility was to accurately annotate large datasets following detailed project guidelines. Quality and consistency were maintained across all assignments. • Performed image annotation using bounding boxes and segmentation. • Maintained high accuracy for labeled samples. • Adhered strictly to provided labeling instructions. • Ensured dataset consistency via thorough reviews.

Not specified

Education

Work History