For employers

Hire this AI Trainer

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

LoginCreate account
Invite to Job
E

Efa Bassey

AI Data Annotation & Model Evaluation Specialist

Nigeria flagUnwana, Nigeria
$6.00/hrIntermediateCVATLabelboxSuperannotate

Key Skills

Software

CVATCVAT
LabelboxLabelbox
SuperAnnotateSuperAnnotate

Top Subject Matter

AI/ML model evaluation
Natural Language Processing
Legal Services & Contract Review

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

RLHFRLHF
Bounding BoxBounding Box
ClassificationClassification
Object DetectionObject Detection
Evaluation/RatingEvaluation/Rating
Question AnsweringQuestion Answering
Text GenerationText Generation
Text SummarizationText Summarization
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Freelance AI Data Annotation & Model Evaluation Projects. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Higher National Diploma, Akanu Ibiam Federal Polytechnic (2022). AI-training focus includes data types such as Text and labeling workflows including RLHF.

IntermediateEnglish

Labeling Experience

Image Annotation & Quality Assurance using Labelbox

ImageClassification
Worked on multi-modal dataset annotation involving both image and text-based AI training data. Tasks included reviewing labeled images, validating text-based model outputs, and ensuring consistency across different annotation formats.

Worked on multi-modal dataset annotation involving both image and text-based AI training data. Tasks included reviewing labeled images, validating text-based model outputs, and ensuring consistency across different annotation formats.

2025 - Present

RLHF-Based AI Response Evaluation & Ranking

TextRLHF
Performed reinforcement learning from human feedback (RLHF) tasks involving evaluation and ranking of AI-generated text responses. Tasks included comparing multiple model outputs, identifying factual inconsistencies, improving response quality, and ensuring alignment with prompt intent.

Performed reinforcement learning from human feedback (RLHF) tasks involving evaluation and ranking of AI-generated text responses. Tasks included comparing multiple model outputs, identifying factual inconsistencies, improving response quality, and ensuring alignment with prompt intent.

2024 - Present

Industrial Image Annotation & Quality Control (CVAT)

ImageBounding Box
Worked on large-scale industrial image datasets involving annotation and quality control tasks using CVAT. Responsibilities included reviewing auto-generated bounding boxes, correcting labeling inaccuracies, adding missing annotations, and ensuring consistency across dataset frames.

Worked on large-scale industrial image datasets involving annotation and quality control tasks using CVAT. Responsibilities included reviewing auto-generated bounding boxes, correcting labeling inaccuracies, adding missing annotations, and ensuring consistency across dataset frames.

2024 - Present

Freelance AI Data Annotation & Model Evaluation Projects

OtherTextRLHF
As a freelance data annotator and model evaluator, I assessed AI-generated text responses for accuracy and logical consistency. I utilized reinforcement learning from human feedback (RLHF) frameworks and comparative ranking to evaluate language model outputs. I followed strict annotation guidelines to deliver high-quality, structured training data. • Evaluated factual accuracy, coherence, and adherence to project requirements • Identified, documented, and corrected hallucinations and errors in LLM outputs • Designed and implemented structured prompts to improve LLM performance • Simulated real-world AI training evaluation workflows using standard QA tools and processes

As a freelance data annotator and model evaluator, I assessed AI-generated text responses for accuracy and logical consistency. I utilized reinforcement learning from human feedback (RLHF) frameworks and comparative ranking to evaluate language model outputs. I followed strict annotation guidelines to deliver high-quality, structured training data. • Evaluated factual accuracy, coherence, and adherence to project requirements • Identified, documented, and corrected hallucinations and errors in LLM outputs • Designed and implemented structured prompts to improve LLM performance • Simulated real-world AI training evaluation workflows using standard QA tools and processes

2024 - Present

Education

A

Akanu Ibiam Federal Polytechnic

Higher National Diploma, Mechanical Engineering

Higher National Diploma
2022 - 2022

Work History

A

Akanu Ibiam Federal Polytechnic Mechanical Engineering Workshop

Industrial Trainee – Mechanical Engineering

Unwana
2022 - 2022
A

Akanu Ibiam Federal Polytechnic

Mechanical Engineering Technologist

Unwana
2022 - 2022