Mercy W.

Key Skills

Software

Micro1

Other

Top Subject Matter

Generative AI training data annotation and evaluation

Generative AI evaluation and data annotation

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Segmentation

Classification

Evaluation/Rating

Object Detection

Text Summarization

Transcription

Data Collection

Prompt + Response Writing (SFT)

Question Answering

Text Generation

RLHF

Freelancer Overview

AI Trainer at Micro1 (January 2026 – Present). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1 and Other. Education includes Bachelor of Engineering, Covenant University (2018). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Customer Success Expert at Collinear AI (April 2026 – Present)

OtherText

Performed data annotation and generative AI evaluation work in a customer success capacity for an AI-focused organization. Applied expert judgment to validate or rate annotated data and assess generative model outputs. Helped improve overall system reliability by ensuring labeled data and evaluation practices met required quality expectations. • Conducted data annotation for AI workflows • Performed generative AI evaluation • Supported quality assurance of labeled datasets • Contributed to evaluation-driven improvements

2026 - Present

AI Trainer at Micro1 (January 2026 – Present)

Micro1Text

Worked as an AI Trainer supporting next-generation AI system development via expert data annotation and evaluation. Contributed to assessing the quality and usefulness of annotated examples to improve model behavior. Helped ensure evaluation results reflected training-data intent and accuracy. • Performed expert data annotation for AI training • Conducted evaluation of AI outputs against expected criteria • Supported iterative quality improvement loops • Assisted in refining labeling standards for better model learning

2026 - Present

Education

Work History