Lakeisha D.

Key Skills

Software

Mercor

Micro1

Top Subject Matter

Professional/Industry-specific domain expertise

Generalist/Workplace domain expertise

Legal Services & Contract Review

Top Data Types

Text

Document

Image

Top Task Types

Bounding Box

Evaluation/Rating

RLHF

Text Generation

Classification

Object Detection

Question Answering

Text Summarization

Fine-tuning

Transcription

Data Collection

Freelancer Overview

Domain Expert Annotator. Brings 20+ years of professional experience across corporate operations, contract review, compliance, and structured analysis. Core strengths include Mercor and Handshake. Education includes Bachelor of Business Administration, University of Memphis. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Domain Expert Annotator

MercorText

As a Domain Expert Annotator at Mercor, I evaluated model outputs, labeled complex datasets, and applied professional domain knowledge to enhance model training. My work focused on delivering high-quality, accurate annotations and actionable feedback that improved AI performance. I leveraged contextual reasoning and industry expertise to ensure annotation clarity and consistency. • Evaluated and labeled outputs for complex tasks across multiple projects. • Applied practical, industry-specific knowledge to data annotation. • Delivered detailed feedback that directly improved model results. • Maintained high standards for labeling accuracy and reliability.

2026 - Present

Generalist AI Trainer with Domain Expertise

Text

As a Generalist AI Trainer with Domain Expertise at Handshake, I trained AI models to improve accuracy, contextualization, and practical application. I created scenario-based training examples and structured feedback to address gaps in model reasoning and reliability. My responsibilities included evaluating outputs, identifying errors, and translating workplace knowledge into effective model guidance. • Designed and executed realistic, context-rich training tasks. • Evaluated AI responses for accuracy and relevance. • Provided actionable insights to boost model performance and understanding. • Ensured training data mirrored real-world workflows and challenges.

2025 - Present

Education

Work History