Terraine D.

Key Skills

Software

Other

Clickworker

Mercor

Mindrift

Top Subject Matter

Educational AI evaluation and responsible AI

Workforce technology training evaluation and learner performance assessment

Top Data Types

Text

Video

Document

Top Task Types

Bounding Box

Classification

Segmentation

Object Detection

Function Calling

Data Collection

Fine-tuning

Red Teaming

RLHF

Text Summarization

Transcription

Question Answering

Text Generation

Cuboid

Evaluation/Rating

Computer Programming/Coding

Prompt + Response Writing (SFT)

Point/Key Point

Entity (NER) Classification

Polygon

Polyline

Freelancer Overview

Computer Science / Technology Lead Educator (Remote), AI response evaluator and prompt reviewer. Brings 23+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Microsoft Office 365, and Google Workspace. Education includes Bachelor of Science, Coppin State University (1996) and Graduate Coursework, University of Maryland Global Campus (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Computer Science / Technology Lead Educator (Remote), AI response evaluator and prompt reviewer

OtherText

Evaluated AI-supported learner work by applying structured criteria for correctness, clarity, completeness, evidence, safety, and objective alignment. Provided AI response scoring and rubric-based feedback to guide improvements in student outputs. Performed fact checking and prompt testing to validate response quality and reasoning before instructional use. • AI response scoring and evaluation • Rubric-based feedback and fact checking • Prompt testing for quality assurance • Chatbot QA and responsible AI review

2020 - Present

Technology Education and Computer Trainer

Text

Assessed learners’ technology and Office-related skills and created documentation to support program accountability and continuous improvement. While not framed as AI labeling, the role involved evaluating learner performance outputs using reporting and follow-up documentation practices. This supported quality assurance of training outcomes analogous to structured evaluation of responses. • Assessed customer computer skills and recommended training pathways • Developed reports, follow-up documentation, and learner progress tracking • Maintained records for attendance and program accountability • Stayed current with IT and online learning practices

2005 - 2019

Education

Work History