Abdulkabir A.

Key Skills

Software

CVAT

Labelbox

Roboflow

SuperAnnotate

Top Subject Matter

AI response evaluation and quality assurance

Text annotation for NLP classification and entity extraction

Top Data Types

Text

Image

Video

Top Task Types

Emotion Recognition

Bounding Box

Entity (NER) Classification

Classification

Evaluation/Rating

Data Collection

Question Answering

Text Generation

Point/Key Point

Segmentation

RLHF

Freelancer Overview

AI Response Evaluation (accuracy/relevance/clarity/helpfulness/instruction following). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Ahmadu Bello University (2027) and Google Data Analytics Professional Certificate, Google. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Emotion Recognition.

Labeling Experience

AI Evaluation & Annotation (sentiment/toxicity/intent/NER)

OtherTextEmotion Recognition

I applied data annotation methodologies for NLP classification tasks, including sentiment analysis and toxicity classification, using defined labeling approaches. I also performed intent classification and named entity recognition (NER) to structure unstructured text into labeled outputs. All annotations were reviewed for consistency and alignment with guidelines. • Sentiment and toxicity classification labeling • Intent classification labeling • Named entity recognition (NER) labeling • Review against guidelines to ensure consistency and quality

2024 - Present

AI Response Evaluation (accuracy/relevance/clarity/helpfulness/instruction following)

OtherText

I evaluated AI-generated responses for accuracy, relevance, clarity, helpfulness, and instruction following against structured criteria. I documented reasoning, identified response weaknesses, and ensured outputs met predefined guidelines and quality standards. This work functioned as AI response quality review using consistent rating dimensions. • Accuracy, relevance, clarity, helpfulness, and instruction-following evaluation • Comparison to predefined guidelines for consistency • Structured documentation of reasoning and weaknesses • Quality assurance checks to maintain evaluation quality

2024 - Present

Education

Work History