Wilson E.

Key Skills

Software

Mercor

Other

Top Subject Matter

Object Detection for Machine Learning

Visual Data Annotation and Object Classification

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Data Collection

Evaluation/Rating

Computer Programming/Coding

Red Teaming

Segmentation

Text Summarization

Text Generation

Object Detection

Classification

Transcription

Prompt + Response Writing (SFT)

Fine-tuning

Question Answering

Point/Key Point

Polyline

Polygon

Cuboid

Function Calling

RLHF

Entity (NER) Classification

Freelancer Overview

Image Annotation Specialist (AI Training Data). Core strengths include Mercor and Other. Education includes Bachelor of Science, University of Nairobi (2024). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

Image Annotation Specialist (AI Training Data)

MercorImageBounding Box

As an Image Annotation Specialist at Mercor, I refined and reviewed bounding boxes, object labels, and captions over large-scale image datasets for AI training. My work involved identifying incorrect labels, adjusting bounding boxes, and matching objects across paired images to ensure dataset accuracy and consistency. I maintained a high quality of annotated data by following structured guidelines, supporting improved machine learning performance. • Reviewed and refined bounding boxes for spatial accuracy and consistency. • Added missing bounding boxes and classified visual elements including logos, text segments, and common objects. • Corrected transcription errors and captions for improved label accuracy. • Verified annotation quality based on correctness and adherence to project guidelines.

2022 - Present

Data Annotation Assistant

OtherImageBounding Box

As a Data Annotation Assistant at Outlier, I participated in large-scale visual recognition and object classification projects. I created and modified bounding boxes around visual elements and ensured label and caption correctness. My role required verification checks and collaboration with annotation teams for dataset consistency. • Used annotation platforms to generate and adjust bounding boxes. • Verified object labels aligned with image elements and validated captions. • Conducted quality checks for labeling inconsistencies and spatial inaccuracies. • Maintained clear documentation and followed project workflow guidelines.

2020 - 2022

Education

Work History