Chukwuemeka Eneh

Key Skills

Software

Dataloop

Kili Technology

Toloka

Other

Mindrift

Remotasks

Scale AI

Internal/Proprietary Tooling

Top Subject Matter

High Tech and Large Language Models

Augmented Reality and Virtual Reality

Infrastructure and Sewer Systems

Top Data Types

Image

Text

Video

Top Task Types

Evaluation Rating

Object Detection

Polygon

Segmentation

Text Summarization

Freelancer Overview

An expert annotator with 4+ years experience in training and validating Artificial Intelligence models. Experienced in 2D box and semantic annotation, 3D image annotation, sentiment analysis, Egocentric Video annotation, LLM prompt generation, red teaming, Search validation, AI Ethics and many more. Also experienced in data analysis, building AI models to help businesses identify trends and take appropriate steps towards increasing revenue.

Labeling Experience

AI Image Evaluator

MindriftImageFine TuningEvaluation Rating

For this project, Image generated generated by multiple AI models were compared against one another based on multiple metrics in a specified order of importance, and the best performing model was subsequently selected.

For this project, Image generated generated by multiple AI models were compared against one another based on multiple metrics in a specified order of importance, and the best performing model was subsequently selected.

2024 - 2024

AI Expert Annotator

MindriftTextFine TuningEvaluation Rating

The project involved the validation of the search results to user queries provided by the AI model. The webpage recommended by the AI model is thoroughly vetted to confirm if an answer to the user to the query is present in it or not. If present, the proposed answer is extracted and sent further down the annotation pipeline for validation. The validation involved comparing the results against other resources, like scientific papers, trusted media outlets, etc. During the project, It was ensured that bad data which ranged from hateful, sexual, violent, to divisive data were filtered and kept out of the training pool to ensure compliance with AI ethics standard.

The project involved the validation of the search results to user queries provided by the AI model. The webpage recommended by the AI model is thoroughly vetted to confirm if an answer to the user to the query is present in it or not. If present, the proposed answer is extracted and sent further down the annotation pipeline for validation. The validation involved comparing the results against other resources, like scientific papers, trusted media outlets, etc. During the project, It was ensured that bad data which ranged from hateful, sexual, violent, to divisive data were filtered and kept out of the training pool to ensure compliance with AI ethics standard.

2024 - 2024

Sewer Pipe Inspection/Annotation

Internal Proprietary ToolingImageBounding Box

This project involved the annotation of defects in sewer systems and drainage pipes using HD images taken or videos recorded by a robot.

This project involved the annotation of defects in sewer systems and drainage pipes using HD images taken or videos recorded by a robot.

2023 - 2024

Egocentric Video Annotaion

OtherVideoAction Recognition

Annotated and the action of a camera wearer by detailing every action carried out within a specified timeframe, using timestamps.

Annotated and the action of a camera wearer by detailing every action carried out within a specified timeframe, using timestamps.

2021 - 2023

Lidar Annotation

Scale AIImageObject DetectionGeocoding

Annotated the lidar information of complex cities to improve object detection and aid better navigation of the city

Annotated the lidar information of complex cities to improve object detection and aid better navigation of the city

2022 - 2022

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Education

Work History