Baketa Baketa Joseph

Key Skills

Software

Appen

Clickworker

CrowdSource

Mindrift

OneForma

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Video

Top Task Types

Computer Programming Coding

Prompt Response Writing SFT

Question Answering

Segmentation

Translation Localization

Freelancer Overview

Responsible for gathering and organizing large datasets related to clinical trials and pharmaceutical research. Data validation, classification, and quality assurance to ensure that all information was accurately labeled and structured for analysis. Close collaboration with data science teams to define data labeling guidelines, ensuring consistency across the dataset while adapting to the specific needs of projects. Ensured a keen attention to detail to ensure that every piece of data was properly categorized and aligned with research objectives. Involved in identifying anomalies and inconsistencies within the data, working to correct them before the dataset was used for machine learning or statistical analysis. Hands-on experience with managing and labeling complex data sets has provided me with a deep understanding of the precision and accuracy required in AI and machine learning workflows. Developed a solid foundation in the principles of data labeling, which directly translates to optimizing AI models through accurate and high-quality annotated data.

Labeling Experience

Text and Image Annotation

Scale AITextClassificationText Generation

Annotate raw text data in a way that enhanced the performance of an NLP model, such as text classification, sentiment analysis, named entity recognition (NER), or language translation. The annotation process involved tagging or categorizing texts according to predefined rules to help the model learn and make accurate predictions.

Annotate raw text data in a way that enhanced the performance of an NLP model, such as text classification, sentiment analysis, named entity recognition (NER), or language translation. The annotation process involved tagging or categorizing texts according to predefined rules to help the model learn and make accurate predictions.

2024 - 2025

Text Annotation for Sentiment Analysis

OneformaTextRelationshipClassification

Label raw social media posts, customer reviews, or survey responses based on sentiment (positive, negative, neutral). Annotate short text entries to reflect the sentiment behind the message. Review and validate the consistency of sentiment labeling across various platforms.

Label raw social media posts, customer reviews, or survey responses based on sentiment (positive, negative, neutral). Annotate short text entries to reflect the sentiment behind the message. Review and validate the consistency of sentiment labeling across various platforms.

2017 - 2023

Named Entity Recognition (NER) for Legal Documents

AppenDocumentEntity Ner ClassificationClassification

Annotation of legal documents, identifying and labeling entities such as person names, locations, dates, and legal terms. Highlighting and label entities within legal contracts, court transcripts, or legal briefs. Categorizing different types of entities, including organizations, statutes, and dates. Working on a large dataset with multiple types of documents requiring NER.

Annotation of legal documents, identifying and labeling entities such as person names, locations, dates, and legal terms. Highlighting and label entities within legal contracts, court transcripts, or legal briefs. Categorizing different types of entities, including organizations, statutes, and dates. Working on a large dataset with multiple types of documents requiring NER.

2015 - 2017

Education

Work History