Meshak Oramo

Key Skills

Software

iMerit

Telus

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Evaluation Rating

Question Answering

Relationship

Segmentation

Text Generation

Freelancer Overview

I am a highly detail-oriented AI data specialist with hands-on experience in data annotation, labeling, and quality assurance for large-scale AI and machine learning projects. My work spans text, image, audio, and video data, supporting domains such as financial services, generative AI, and computer vision. I have executed advanced techniques like Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), and Chain-of-Thought reasoning to enhance model accuracy and reduce hallucinations. With a proven track record of maintaining 98-99%+ accuracy, I am skilled at collaborating with engineers and data scientists to develop annotation guidelines, perform deep audits, and ensure data quality. My background also includes financial data tagging, sentiment analysis, and content moderation, making me adept at improving AI systems for enterprise applications.

Labeling Experience

Annotation

ImeritImageSegmentationQuestion Answering

Here, we are doing high-quality difference identification between a pair of various images; there were slight differences, like some were AI-generated, difference in anatomy, and many more. This was an eye-opening project. The only challenge is hour limitation.

Here, we are doing high-quality difference identification between a pair of various images; there were slight differences, like some were AI-generated, difference in anatomy, and many more. This was an eye-opening project. The only challenge is hour limitation.

2024 - 2025

Image, text and audio annotation

OtherTextText Generation

Led high-precision annotation for large-scale text, image, and audio datasets supporting global AI systems. • Performed financial domain tagging and entity recognition, improving NLP accuracy for banking AI models. • Maintained 99%+ accuracy through rigorous QA audits and taxonomy compliance. • Executed sentiment analysis, intent classification, and bounding-box annotations under tight deadlines.

Led high-precision annotation for large-scale text, image, and audio datasets supporting global AI systems. • Performed financial domain tagging and entity recognition, improving NLP accuracy for banking AI models. • Maintained 99%+ accuracy through rigorous QA audits and taxonomy compliance. • Executed sentiment analysis, intent classification, and bounding-box annotations under tight deadlines.

2023 - 2025

Education

Work History