Rasheda Akter

Key Skills

Software

AWS SageMaker

Appen

CrowdSource

Data Annotation Tech

Google Cloud Vertex AI

Lionbridge

OneForma

Scale AI

Toloka

Telus

Internal/Proprietary Tooling

Remotasks

Clickworker

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Classification

Data Collection

Evaluation Rating

Object Detection

Translation Localization

Freelancer Overview

I am an experienced Data Labeling and AI Training contributor with hands-on expertise in text evaluation, multilingual content review, and quality assurance for large-scale NLP projects. I specialize in English–German linguistic tasks, including acceptability grading, translation review, grammar correction, and relevance judgment. My work focuses on delivering accurate, consistent, and context-aware annotations that help improve model performance and reliability. Over time, I have worked on various AI datasets involving content moderation, search query evaluation, classification, and instruction-based annotation. I bring strong attention to detail, problem-solving ability, and a clear understanding of annotation guidelines—ensuring high-quality outputs even under tight deadlines. With a commitment to precision and efficient task execution, I aim to support teams in building better AI systems through reliable and well-structured training data.

Labeling Experience

Acceptability & Multigrading English–German

OneformaTextTranslation LocalizationEvaluation Rating

Worked with LocalizationAsia on English–German text annotation for acceptability grading and translation quality. Evaluated thousands of text hits for accuracy and consistency, following project guidelines to ensure high-quality training data for AI models.

Worked with LocalizationAsia on English–German text annotation for acceptability grading and translation quality. Evaluated thousands of text hits for accuracy and consistency, following project guidelines to ensure high-quality training data for AI models.

2025

Social Media Content Moderation & Categorization

ClickworkerTextClassificationTranslation Localization

Worked with Clickworker categorizing and tagging social media content for inappropriate language, spam, and harmful material. Ensured compliance with brand guidelines and supported AI-driven content review processes for text and image data.

Worked with Clickworker categorizing and tagging social media content for inappropriate language, spam, and harmful material. Ensured compliance with brand guidelines and supported AI-driven content review processes for text and image data.

2024 - 2024

Text Annotation for Natural Language Processing (NLP)

OneformaTextEntity Ner ClassificationQuestion Answering

Worked with Upwork labeling text data for sentiment analysis and entity recognition. Classified customer reviews as positive, neutral, or negative, and annotated named entities like products, locations, and brands. Ensured high-quality datasets for AI models used in chatbots and customer support applications.

Worked with Upwork labeling text data for sentiment analysis and entity recognition. Classified customer reviews as positive, neutral, or negative, and annotated named entities like products, locations, and brands. Ensured high-quality datasets for AI models used in chatbots and customer support applications.

2024 - 2024

Image & Object Recognition Annotation

Scale AIImageBounding BoxSegmentation

Worked with Remotasks labeling images of everyday objects for AI-powered recognition systems. Applied bounding boxes and segmentation to mark objects like cars, traffic signs, and people, ensuring high-quality annotated datasets for machine learning models.

Worked with Remotasks labeling images of everyday objects for AI-powered recognition systems. Applied bounding boxes and segmentation to mark objects like cars, traffic signs, and people, ensuring high-quality annotated datasets for machine learning models.

2023 - 2023

Education

Work History