Godtime B.

Key Skills

Software

Mercor

Data Annotation Tech

Top Subject Matter

AI response evaluation and prompt/response quality assessment for NLP training

LLM response evaluation and text annotation for AI training

Text content categorization and QA for AI/NLP dataset preparation

Top Data Types

Text

Document

Image

Top Task Types

Classification

Freelancer Overview

AI Data Specialist / Response Evaluator, Mercor (Remote Freelance Project Work). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mercor, Outlier, and Data Annotation Tech. Education includes Master of Science, Rivers State University (2025) and Bachelor of Science, Rivers State University (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Annotator / Quality Reviewer, DataAnnotationTech (Remote Freelance Project Work)

Data Annotation TechTextClassification

Completed data labeling and quality review tasks with emphasis on accuracy, consistency, and strong adherence to project guidelines. Labeled and categorized digital content according to project taxonomies to improve dataset structure and usability. Conducted quality checks to confirm labels matched task instructions and intended meanings before submission. • Performed text labeling and content categorization using project taxonomies. • Conducted QC checks for label accuracy and instruction alignment. • Reviewed edge cases to reduce inconsistency and improve dataset confidence. • Managed remote task queues independently while maintaining focus and confidentiality.

2026 - Present

AI Trainer / Annotation Specialist, Outlier (Remote Freelance Project Work)

Text

Performed AI training and annotation tasks for text-based evaluation and quality review. Followed client-specific instructions to ensure that labeled and reviewed data met expected standards for machine learning training. Used rubric-based methods to compare responses and select stronger outputs based on usefulness, correctness, and tone. • Annotated and reviewed text-based data for language model training and evaluation pipelines. • Conducted rubric-based response comparisons to choose preferred outputs. • Rewrote/refined responses to improve clarity, naturalness, and professional quality. • Maintained consistency and quality control across tasks and review steps.

2026 - Present

AI Data Specialist / Response Evaluator, Mercor (Remote Freelance Project Work)

MercorText

Provided high-quality AI training support by reviewing model-generated responses for accuracy, helpfulness, clarity, tone, and instruction-following. Applied human judgment to compare responses, identify weak reasoning, and flag unsafe or low-quality outputs. Delivered structured written feedback using project rubrics to support model behavior improvement. • Evaluated factual accuracy, relevance, completeness, style, and user intent. • Reviewed prompts and model answers to detect hallucinations, vague reasoning, formatting issues, and policy concerns. • Scored/assessed outputs against detailed quality standards and documented errors. • Compared alternative responses and explained why one was stronger than another.

2026 - Present

Education

Work History