Michael Kalu

Key Skills

Software

Remotasks

Appen

Toloka

Clickworker

Labelbox

CVAT

Supervisely

Doccano

Mindrift

Top Subject Matter

General AI/ML

computer vision

and NLP datasets

Top Data Types

Image

Text

Audio

Document

Top Task Types

Bounding Box

Segmentation

Classification

Transcription

Freelancer Overview

AI Data Annotator (Freelance / Remote). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Remotasks, Appen, and Toloka. Education includes Bachelor of Science in Education, University of Benin (2019). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Evaluation, and Rating.

Labeling Experience

AI Data Annotator (Freelance / Remote)

RemotasksImageBounding Box

I worked as a freelance AI Data Annotator, carrying out image, video, and text annotation and evaluation tasks on multiple global AI platforms. My responsibilities included annotating complex datasets using bounding boxes, segmentation, and classification methods. I consistently maintained high accuracy and collaborated with international teams to meet strict quality standards. • Performed data labeling with bounding box and segmentation tools. • Collaborated remotely to meet project deadlines. • Utilized platforms like Remotasks, Appen, Toloka, Clickworker, and DataAnnotation Tech. • Supported machine learning model development through high-quality annotations.

I worked as a freelance AI Data Annotator, carrying out image, video, and text annotation and evaluation tasks on multiple global AI platforms. My responsibilities included annotating complex datasets using bounding boxes, segmentation, and classification methods. I consistently maintained high accuracy and collaborated with international teams to meet strict quality standards. • Performed data labeling with bounding box and segmentation tools. • Collaborated remotely to meet project deadlines. • Utilized platforms like Remotasks, Appen, Toloka, Clickworker, and DataAnnotation Tech. • Supported machine learning model development through high-quality annotations.

2023 - Present

AI Training Contributor

MindriftText

I served as an AI Training Contributor, evaluating and improving AI-generated responses to optimize performance. My work involved creating prompts and correcting outputs for conversational AI systems. I ensured data quality through adherence to guidelines and by contributing high-quality training examples. • Evaluated AI-generated outputs for relevance and accuracy. • Authored new prompts and completed output correction tasks. • Provided feedback for chatbot and conversational agent development. • Worked with Mindrift/Toloka to enhance model consistency and quality.

I served as an AI Training Contributor, evaluating and improving AI-generated responses to optimize performance. My work involved creating prompts and correcting outputs for conversational AI systems. I ensured data quality through adherence to guidelines and by contributing high-quality training examples. • Evaluated AI-generated outputs for relevance and accuracy. • Authored new prompts and completed output correction tasks. • Provided feedback for chatbot and conversational agent development. • Worked with Mindrift/Toloka to enhance model consistency and quality.

2022 - 2022

Audio & Speech Labeling

RemotasksAudioTranscription

I transcribed and labeled audio datasets for training speech recognition systems. This process involved attention to detail across diverse accents and audio conditions. My labeled audio data improved the accuracy and robustness of automated speech recognition models. • Transcribed speech and annotated corresponding audio segments. • Used platform tools to manage and review labeled files. • Delivered high-quality data for speech-to-text AI projects. • Engaged in projects for Remotasks and Appen.

I transcribed and labeled audio datasets for training speech recognition systems. This process involved attention to detail across diverse accents and audio conditions. My labeled audio data improved the accuracy and robustness of automated speech recognition models. • Transcribed speech and annotated corresponding audio segments. • Used platform tools to manage and review labeled files. • Delivered high-quality data for speech-to-text AI projects. • Engaged in projects for Remotasks and Appen.

Not specified

NLP Tasks (Entity & Sentiment Labeling)

DoccanoTextClassification

I performed sentiment analysis, text classification, and entity tagging as part of various NLP data labeling tasks. My labeling supported AI chatbot training and natural language model development. Careful annotation contributed to enhanced language understanding and conversational ability in the target models. • Tagged entities and classified text data. • Followed robust QA protocols for annotation reliability. • Supported machine learning teams with high-quality labeled NLP data. • Employed tools including Doccano and Appen.

I performed sentiment analysis, text classification, and entity tagging as part of various NLP data labeling tasks. My labeling supported AI chatbot training and natural language model development. Careful annotation contributed to enhanced language understanding and conversational ability in the target models. • Tagged entities and classified text data. • Followed robust QA protocols for annotation reliability. • Supported machine learning teams with high-quality labeled NLP data. • Employed tools including Doccano and Appen.

Not specified

Computer Vision Annotation

LabelboxImageSegmentation

I contributed to a computer vision annotation project, labeling objects within images using segmentation and bounding box techniques. The data was used to train object detection models. My efforts helped create robust datasets for machine learning research and deployment. • Applied segmentation tools to annotate complex objects. • Supported model development through detailed visual labeling. • Ensured data consistency by following project standards. • Used tools such as Labelbox, Supervisely, and CVAT.

I contributed to a computer vision annotation project, labeling objects within images using segmentation and bounding box techniques. The data was used to train object detection models. My efforts helped create robust datasets for machine learning research and deployment. • Applied segmentation tools to annotate complex objects. • Supported model development through detailed visual labeling. • Ensured data consistency by following project standards. • Used tools such as Labelbox, Supervisely, and CVAT.

Not specified

Education

Work History