Usman Isah

Key Skills

Software

Appen

Mindrift

Toloka

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Classification

Data Collection

Emotion Recognition

Entity Ner Classification

Evaluation Rating

Fine Tuning

Object Detection

Question Answering

Segmentation

Text Generation

Text Summarization

Freelancer Overview

I have hands-on experience in AI training data and data labeling, having worked with Telsu International on the Parimango project for six months in 2025, supporting Meta AI initiatives. My work involved annotating and reviewing multimodal datasets, including video, speech, audio, image, and text data. I was responsible for ensuring high accuracy, contextual relevance, and strict adherence to annotation guidelines. This role strengthened my attention to detail, quality assurance skills, and ability to interpret nuanced instructions across diverse content formats. In addition, I worked with Appen in 2024, contributing to AI model improvement through data evaluation and labeling tasks. My combined experience across platforms has equipped me with strong analytical skills, consistency in high-volume data processing, confidentiality awareness, and the ability to deliver quality results under tight deadlines. What sets me apart is my structured approach to guidelines, commitment to accuracy, and ability to quickly adapt to evolving AI training requirements.

Labeling Experience

Multimodal AI Data Labeling & Model Evaluation

TelusVideoEntity Ner Classification

Worked on multiple multimodal AI data labeling and evaluation projects through TELUS AI. Tasks included image and video annotation (object detection, bounding boxes, motion/action recognition), named and unnamed entity recognition (NER), semantic extraction, and text classification. I also performed AI-generated summary evaluation (pointwise and head-to-head comparisons), response ranking, and RLHF-based quality rating to improve large language models.

Worked on multiple multimodal AI data labeling and evaluation projects through TELUS AI. Tasks included image and video annotation (object detection, bounding boxes, motion/action recognition), named and unnamed entity recognition (NER), semantic extraction, and text classification. I also performed AI-generated summary evaluation (pointwise and head-to-head comparisons), response ranking, and RLHF-based quality rating to improve large language models.

2025 - 2025

Education

Work History