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D

Donald Okpako

Data Annotation and AI Training (Skill Development)

Nigeria flagN/A, Nigeria
$40.00/hrIntermediate

Key Skills

Software

No software listed

Top Subject Matter

Petroleum Engineering
AI Training
AI Data Annotation

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

Bounding BoxBounding Box
SegmentationSegmentation
ClassificationClassification
Object DetectionObject Detection
Text GenerationText Generation
Text SummarizationText Summarization
RLHFRLHF
Entity (NER) ClassificationEntity (NER) Classification
Question AnsweringQuestion Answering
Computer Programming/CodingComputer Programming/Coding
Evaluation/RatingEvaluation/Rating
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Data CollectionData Collection

Freelancer Overview

Data Annotation and AI Training (Skill Development). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Engineering, University of Benin (2019). AI-training focus includes data types such as N and A and labeling workflows including N and A.

IntermediateEnglish

Labeling Experience

Data Annotation and AI Training (Skill Development)

Engaged in data annotation and AI training as part of technical skill development, contributing to foundational AI project tasks. Focused on applying annotation methodologies and supporting initial dataset development for AI model training. Leveraged petroleum engineering subject matter knowledge to enhance the quality and relevance of labeled data. • Practical exposure to data annotation for machine learning in a technical context • Utilized Python and analytical skills for basic data labeling support • Inferred subject matter labels from petroleum engineering datasets • Gained familiarity with labeling requirements for AI model training

Engaged in data annotation and AI training as part of technical skill development, contributing to foundational AI project tasks. Focused on applying annotation methodologies and supporting initial dataset development for AI model training. Leveraged petroleum engineering subject matter knowledge to enhance the quality and relevance of labeled data. • Practical exposure to data annotation for machine learning in a technical context • Utilized Python and analytical skills for basic data labeling support • Inferred subject matter labels from petroleum engineering datasets • Gained familiarity with labeling requirements for AI model training

Not specified

Education

U

University of Benin

Bachelor of Engineering, Petroleum Engineering

Bachelor of Engineering
2014 - 2019

Work History

N

NEPL

Wellsite Engineer

Benin
2022 - 2023