For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
O
Obinna Ucheagbala

Obinna Ucheagbala

AI Training Content Reviewer / RLHF Specialist (Content Writer, Karisia Global Enterprises)

Nigeria flagLagos, Nigeria
$25.00/hrEntry LevelOtherData Annotation TechRemotasks

Key Skills

Software

Other
Data Annotation TechData Annotation Tech
RemotasksRemotasks
TolokaToloka
LionbridgeLionbridge
Google Cloud Vertex AIGoogle Cloud Vertex AI
AppenAppen
Scale AIScale AI

Top Subject Matter

Business Communications
Instructional Content
Digital Marketing

Top Data Types

TextText
DocumentDocument

Top Task Types

RLHFRLHF
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Text GenerationText Generation
Text SummarizationText Summarization
Fine-tuningFine-tuning
Entity (NER) ClassificationEntity (NER) Classification
Question AnsweringQuestion Answering
Evaluation/RatingEvaluation/Rating
TranscriptionTranscription

Freelancer Overview

AI Training Content Reviewer / RLHF Specialist (Content Writer, Karisia Global Enterprises). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Foundation Certificate, Multimedia University (2018). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Entry LevelEnglishMalayIgbo

Labeling Experience

AI Training Content Reviewer / RLHF Specialist (Content Writer, Karisia Global Enterprises)

OtherTextRLHF
Produced, reviewed, and edited large volumes of structured written content and evaluated output for accuracy, clarity, and helpfulness, aligning with RLHF and LLM content evaluation rubrics. Applied prompt engineering methods to generate, test, and iteratively refine AI-assisted content, matching prompt and response review workflows for AI training platforms. Conducted pairwise and multi-criteria assessments of content quality dimensions including helpfulness, accuracy, coherence, and safety, following established annotation guidelines for AI trainer data. • Evaluated outputs using rubric-based scoring and feedback loops • Ghostwrote and edited content for multiple domains, demonstrating annotation and editorial consistency • Managed content pipelines under deadlines, supporting per-task and batch workflows • Created instructional content with explicit success criteria, useful for AI training data production

Produced, reviewed, and edited large volumes of structured written content and evaluated output for accuracy, clarity, and helpfulness, aligning with RLHF and LLM content evaluation rubrics. Applied prompt engineering methods to generate, test, and iteratively refine AI-assisted content, matching prompt and response review workflows for AI training platforms. Conducted pairwise and multi-criteria assessments of content quality dimensions including helpfulness, accuracy, coherence, and safety, following established annotation guidelines for AI trainer data. • Evaluated outputs using rubric-based scoring and feedback loops • Ghostwrote and edited content for multiple domains, demonstrating annotation and editorial consistency • Managed content pipelines under deadlines, supporting per-task and batch workflows • Created instructional content with explicit success criteria, useful for AI training data production

2020 - Present

AI Content Evaluation & RLHF Data Support (Customer Success & Content Specialist, YoYong Sdn Bhd)

OtherTextRLHF
Authored and quality-reviewed technical support documents and user guides, focusing on factual correctness, clarity, and tone for diverse audiences. Evaluated content for helpfulness, fluency, and specificity, supporting LLM response review and preference ranking data tasks. Collaborated on accuracy validation and used structured review systems, analogous to annotation quality assurance in AI training data workflows. • Maintained output logs and records similar to annotation tracking • Performed multi-task reviews in a high-volume digital service environment • Applied consistent standards to customer-facing content aligning with RLHF evaluation • Enabled annotation QA by integrating SME feedback loops and maintaining quality documentation

Authored and quality-reviewed technical support documents and user guides, focusing on factual correctness, clarity, and tone for diverse audiences. Evaluated content for helpfulness, fluency, and specificity, supporting LLM response review and preference ranking data tasks. Collaborated on accuracy validation and used structured review systems, analogous to annotation quality assurance in AI training data workflows. • Maintained output logs and records similar to annotation tracking • Performed multi-task reviews in a high-volume digital service environment • Applied consistent standards to customer-facing content aligning with RLHF evaluation • Enabled annotation QA by integrating SME feedback loops and maintaining quality documentation

2018 - 2020

Instructional Data Creation & Quality Evaluation (Published Author, Self-Directed)

OtherText
Authored and published instructional and educational content with defined rubrics, success criteria, and quality guidelines, demonstrating subject matter expertise needed for AI training projects. Produced and evaluated content for education, child development, and health communication domains, suitable for specialist RLHF data collection tasks. Managed the content lifecycle from drafting to rubric-aligned editing and final publication, performing end-to-end quality control for high-signal training outputs. • Applied educational and scientific annotation standards in published content • Developed child safety and caregiving guides with strict quality criteria • Demonstrated independent production of structured, evaluative data for AI training • Produced multi-domain training data through published work and self-directed content workflows

Authored and published instructional and educational content with defined rubrics, success criteria, and quality guidelines, demonstrating subject matter expertise needed for AI training projects. Produced and evaluated content for education, child development, and health communication domains, suitable for specialist RLHF data collection tasks. Managed the content lifecycle from drafting to rubric-aligned editing and final publication, performing end-to-end quality control for high-signal training outputs. • Applied educational and scientific annotation standards in published content • Developed child safety and caregiving guides with strict quality criteria • Demonstrated independent production of structured, evaluative data for AI training • Produced multi-domain training data through published work and self-directed content workflows

Not specified

Education

P

Professional Certification

ChatGPT Certification, ChatGPT Certification

ChatGPT Certification
2025 - 2025
H

https://www.ailiteracyacademy.org/

Certificate in AI Literacy & Prompt Engineering, Certificate in AI Literacy & Prompt Engineering

Certificate in AI Literacy & Prompt Engineering
2025 - 2025

Work History

K

Karisia Global Enterprises

Content Writer and Digital Operations Manager

Lagos
2020 - Present
Y

YoYong Sdn Bhd

Customer Success and Content Specialist

Kuala Lumpur
2018 - 2020