Damilola Odetunde

Key Skills

Software

CVAT

SuperAnnotate

Labelbox

Top Subject Matter

Data annotation

Agriculture

E-commerce

Top Data Types

Image

Video

Text

Top Task Types

Segmentation

Classification

Entity Ner Classification

Bounding Box

Question Answering

Evaluation Rating

Freelancer Overview

Human Data Evaluation & AI Output Review Specialist. Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1 and Google Cloud Vertex AI. Education includes Bachelor of Educational Management, Osun State University (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Data annotation

ImageClassification

Project involves labeling images according to set guidelines to support AI training. The tasks precisely include classification, object detection, and segmentation. Projects typically span hours to weeks, with outputs of 800–2,000 annotations weekly. Quality is ensured through accuracy, consistency, guideline adherence, and review processes such as validation and feedback loops.

Project involves labeling images according to set guidelines to support AI training. The tasks precisely include classification, object detection, and segmentation. Projects typically span hours to weeks, with outputs of 800–2,000 annotations weekly. Quality is ensured through accuracy, consistency, guideline adherence, and review processes such as validation and feedback loops.

2026 - Present

Prompt Design & Generative AI Interaction Specialist

Google Cloud Vertex AITextPrompt Response Writing SFT

Designed structured prompts to test the reasoning, accuracy, and performance of generative AI models. Applied advanced prompt engineering techniques to create and evaluate controlled AI outputs in real-world scenarios. Provided collaborative guidance to colleagues on best practices for generative AI projects. • Used Google Cloud Vertex AI and Gemini APIs for prompt-response experiments. • Focused on dialog interaction and evaluation in LLM environments. • Supported prompt engineering tasks for team projects aligned with assessment criteria. • Enhanced prompt quality for improved AI understanding and output reliability.

Designed structured prompts to test the reasoning, accuracy, and performance of generative AI models. Applied advanced prompt engineering techniques to create and evaluate controlled AI outputs in real-world scenarios. Provided collaborative guidance to colleagues on best practices for generative AI projects. • Used Google Cloud Vertex AI and Gemini APIs for prompt-response experiments. • Focused on dialog interaction and evaluation in LLM environments. • Supported prompt engineering tasks for team projects aligned with assessment criteria. • Enhanced prompt quality for improved AI understanding and output reliability.

2026 - Present

Human Data Evaluation & AI Output Review Specialist

Micro1Text

Evaluated AI-generated responses to assess accuracy, quality of reasoning, and adherence to instructions. Applied structured human data review methods to enhance the reliability of datasets for machine learning purposes. Provided structured feedback and mentorship to team members, ensuring best practices were followed in annotation processes. • Reviewed and identified inconsistencies, hallucinations, and reasoning errors in AI outputs. • Leveraged Micro1 AI Platform for detailed human evaluation and validation tasks. • Mentored junior evaluators to improve team performance and data quality. • Conducted comprehensive reviews aimed at increasing output reliability.

Evaluated AI-generated responses to assess accuracy, quality of reasoning, and adherence to instructions. Applied structured human data review methods to enhance the reliability of datasets for machine learning purposes. Provided structured feedback and mentorship to team members, ensuring best practices were followed in annotation processes. • Reviewed and identified inconsistencies, hallucinations, and reasoning errors in AI outputs. • Leveraged Micro1 AI Platform for detailed human evaluation and validation tasks. • Mentored junior evaluators to improve team performance and data quality. • Conducted comprehensive reviews aimed at increasing output reliability.

2026 - Present

Education

Work History