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E

Emmanuel C. O Peters

AI Data Annotator / Training Contributor (Coddatta & Perle Labs)

NIGERIA flag
Enugu, Nigeria
$15.00/hrIntermediate

Key Skills

Software

No software listed

Top Subject Matter

AI Language Model Evaluation
AI Response Evaluation and Ranking
Text Dataset Annotation for Machine Learning

Top Data Types

TextText
DocumentDocument

Top Task Types

Classification
Text Summarization
Question Answering
Computer Programming Coding
Evaluation Rating

Freelancer Overview

AI Data Annotator / Training Contributor (Coddatta & Perle Labs). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Analytical thinking, programming, Reasoning, attention to details, others. Education includes Bachelor of Science, University of Ebonyi (2018) and Certificate, N/A (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

IntermediateEnglishIgbo

Labeling Experience

AI Data Annotator / Training Contributor (Coddatta & Perle Labs)

OtherText
Reviewed and rated AI-generated responses as part of large language model training programs. Applied evaluation guidelines to assess accuracy, clarity, relevance, and factual consistency of outputs. Provided structured feedback to improve the quality and alignment of AI systems.• Conducted systematic response ranking and prompt evaluation tasks • Labeled and annotated text data used for AI and machine learning model development • Detected hallucinations, inconsistencies, and instruction compliance issues in model outputs • Followed detailed instructions to ensure high-quality, consistent training data

Reviewed and rated AI-generated responses as part of large language model training programs. Applied evaluation guidelines to assess accuracy, clarity, relevance, and factual consistency of outputs. Provided structured feedback to improve the quality and alignment of AI systems.• Conducted systematic response ranking and prompt evaluation tasks • Labeled and annotated text data used for AI and machine learning model development • Detected hallucinations, inconsistencies, and instruction compliance issues in model outputs • Followed detailed instructions to ensure high-quality, consistent training data

2025 - 2025

Dataset Annotation Project

OtherTextClassification
Annotated and categorized text datasets used in machine learning training workflows. Applied annotation guidelines to deliver reliable and consistent labeling results. Carefully reviewed labeled data for both accuracy and completeness.• Ensured compliance with annotation protocols to reduce dataset bias • Contributed to dataset validation and quality assurance processes • Utilized spreadsheet and text annotation tools for efficient workflow • Supported model development by maintaining high labeling standards

Annotated and categorized text datasets used in machine learning training workflows. Applied annotation guidelines to deliver reliable and consistent labeling results. Carefully reviewed labeled data for both accuracy and completeness.• Ensured compliance with annotation protocols to reduce dataset bias • Contributed to dataset validation and quality assurance processes • Utilized spreadsheet and text annotation tools for efficient workflow • Supported model development by maintaining high labeling standards

2024 - 2024

AI Response Evaluation & Ranking Project

OtherText
Compared and ranked multiple AI-generated responses based on clarity, factual accuracy, completeness, and relevance. Provided structured reasoning behind ranking decisions to support AI model improvements. Ensured evaluation consistency by adhering to specified guidelines.• Supported reinforcement learning from human feedback (RLHF) sessions • Provided qualitative and quantitative assessments of model outputs • Documented evaluation outcomes and identified areas for further training • Contributed feedback loops critical to iterative AI training cycles

Compared and ranked multiple AI-generated responses based on clarity, factual accuracy, completeness, and relevance. Provided structured reasoning behind ranking decisions to support AI model improvements. Ensured evaluation consistency by adhering to specified guidelines.• Supported reinforcement learning from human feedback (RLHF) sessions • Provided qualitative and quantitative assessments of model outputs • Documented evaluation outcomes and identified areas for further training • Contributed feedback loops critical to iterative AI training cycles

2024 - 2024

Education

I

IBM

Certificate, Scrum Mastery

Certificate
2024 - 2024
U

UStacky

Micro Degree, Python Full Stack Development

Micro Degree
2021 - 2021

Work History

B

Benmore Technology

Full Stack Django Developer

N/A
2024 - Present
H

HNG Internship

Software Engineering Intern

N/A
2022 - Present