Phillip Afa

Key Skills

Software

Clickworker

OneForma

Toloka

Top Subject Matter

General Knowledge

Creative Writing

Medical/veterinary Domain Expertise

Top Data Types

Text

Image

Document

Top Task Types

Classification

Entity (NER) Classification

Freelancer Overview

Human Intelligence Task (HIT) Specialist | Amazon Mechanical Turk. Brings 11+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Amazon Mechanical Turk, Clickworker, and OneForma. Education includes Bachelor of Science, University of Uyo (2020) and Certificate, EF Standard English Test (EF SET) (2020). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Annotator & Image Labeling Specialist | Toloka AI (Yandex)

TolokaImageClassification

As an Annotator & Image Labeling Specialist at Toloka AI, I support computer vision model development through image classification and labeling tasks. I also perform audio transcription and text annotation, achieving a 92% accuracy rate on approximately 94 completed tasks. My careful handling of labeling edge cases delivers high-quality training data for AI systems.• Contributed to image and audio labeling projects • Supported text annotation workflows for AI • Ensured accuracy on edge case labels • Provided high-quality signals for training data integrity

As an Annotator & Image Labeling Specialist at Toloka AI, I support computer vision model development through image classification and labeling tasks. I also perform audio transcription and text annotation, achieving a 92% accuracy rate on approximately 94 completed tasks. My careful handling of labeling edge cases delivers high-quality training data for AI systems.• Contributed to image and audio labeling projects • Supported text annotation workflows for AI • Ensured accuracy on edge case labels • Provided high-quality signals for training data integrity

2023 - Present

Data Annotator | Oneforma (Premise Data)

OneformaTextEntity Ner Classification

At Oneforma (Premise Data), I actively contributed to ongoing AI training projects, particularly in NER tagging, sentiment analysis, and text annotation. I maintained approximately 92% accuracy across about 94 tasks, following strict annotations processes. My work supported both NLP training pipelines and quality assurance frameworks.• NER tagging tasks for NLP model refinement • Sentiment classification and audio transcription • Image labeling and multi-modal annotation • Strict adherence to client-specific guidelines

At Oneforma (Premise Data), I actively contributed to ongoing AI training projects, particularly in NER tagging, sentiment analysis, and text annotation. I maintained approximately 92% accuracy across about 94 tasks, following strict annotations processes. My work supported both NLP training pipelines and quality assurance frameworks.• NER tagging tasks for NLP model refinement • Sentiment classification and audio transcription • Image labeling and multi-modal annotation • Strict adherence to client-specific guidelines

2023 - Present

Human Intelligence Task (HIT) Specialist | Amazon Mechanical Turk

Text

As a Human Intelligence Task Specialist on MTurk, I evaluated and rated large volumes of LLM outputs and AI-generated content. My responsibilities centered on providing high-accuracy AI response ranking, audio transcription, and image evaluation data to support model refinement and RLHF. I consistently maintained a 96.5% approval accuracy rate throughout over 28,000 completed HITs.• Rated and ranked LLM outputs for quality benchmarking • Evaluated fidelity and coherence of AI-generated images • Provided structured feedback for RLHF pipeline • Performed audio transcription and response evaluation tasks

As a Human Intelligence Task Specialist on MTurk, I evaluated and rated large volumes of LLM outputs and AI-generated content. My responsibilities centered on providing high-accuracy AI response ranking, audio transcription, and image evaluation data to support model refinement and RLHF. I consistently maintained a 96.5% approval accuracy rate throughout over 28,000 completed HITs.• Rated and ranked LLM outputs for quality benchmarking • Evaluated fidelity and coherence of AI-generated images • Provided structured feedback for RLHF pipeline • Performed audio transcription and response evaluation tasks

2016 - Present

Data Annotator | Clickworker / UHRS Platform (NER/Sentiment)

ClickworkerTextEntity Ner Classification

During my tenure at Clickworker/UHRS, I contributed to numerous NER tagging projects for various AI clients. My role encompassed detailed recognition and classification of named entities in diverse textual corpora. I ensured precise alignment with annotation protocols, boosting data value for NLP model training.• Performed NER annotation across multiple datasets • Collaborated in RLHF data collection workflows • Supported sentiment tagging and sentiment classification • Maintained high annotation accuracy and quality

During my tenure at Clickworker/UHRS, I contributed to numerous NER tagging projects for various AI clients. My role encompassed detailed recognition and classification of named entities in diverse textual corpora. I ensured precise alignment with annotation protocols, boosting data value for NLP model training.• Performed NER annotation across multiple datasets • Collaborated in RLHF data collection workflows • Supported sentiment tagging and sentiment classification • Maintained high annotation accuracy and quality

2019 - 2020

Data Annotator | Clickworker / UHRS Platform

ClickworkerImageClassification

As a Data Annotator at Clickworker/UHRS, I handled over 15,000 annotation tasks covering diverse AI training datasets. My work included object labeling, scene classification, facial analysis, and satellite image tagging using structured labeling protocols. I maintained consistently high quality scores while following detailed guidelines for each project.• Multi-modal annotation across object and facial images • Scene classification for AI dataset enrichment • Satellite imagery tagging for geospatial analysis • Adherence to strict client labeling specifications

As a Data Annotator at Clickworker/UHRS, I handled over 15,000 annotation tasks covering diverse AI training datasets. My work included object labeling, scene classification, facial analysis, and satellite image tagging using structured labeling protocols. I maintained consistently high quality scores while following detailed guidelines for each project.• Multi-modal annotation across object and facial images • Scene classification for AI dataset enrichment • Satellite imagery tagging for geospatial analysis • Adherence to strict client labeling specifications

2019 - 2020

Education

Work History