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Emmanuel Oni

Emmanuel Oni

Data Annotation & ML Training

Nigeria flagAbuja, FCT, Nigeria
Entry LevelOther

Key Skills

Software

Other

Top Subject Matter

Machine Learning/AI Model Output
AI Model Evaluation/LLM Behavior

Top Data Types

TextText

Top Task Types

RLHFRLHF

Freelancer Overview

Data Annotation & ML Training Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Higher National Diploma, Lincoln University College (2024) and Bachelor of Science, Lincoln University College (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Entry Level

Labeling Experience

Video Generation Response Evaluation & Quality Assurance

VideoEvaluation Rating
Systematically evaluated AI generated videos across diverse applications including motion graphics, scene transitions, and narrative sequences. Participated in Reinforcement Learning from Human Feedback (RLHF) projects for video models, assessing temporal consistency, object persistence, and physics realism. Created adversarial prompts to identify frame coherence issues, morphing artifacts, and motion anomalies. 1. Temporal quality assessment among other dimensions for AI generated video content. 2. Prompt to video fidelity evaluation across multiple formats. 3. Participation in RLHF based video model alignment projects. 4. Documentation of visual artifacts, temporal glitches, and failure patterns.

Systematically evaluated AI generated videos across diverse applications including motion graphics, scene transitions, and narrative sequences. Participated in Reinforcement Learning from Human Feedback (RLHF) projects for video models, assessing temporal consistency, object persistence, and physics realism. Created adversarial prompts to identify frame coherence issues, morphing artifacts, and motion anomalies. 1. Temporal quality assessment among other dimensions for AI generated video content. 2. Prompt to video fidelity evaluation across multiple formats. 3. Participation in RLHF based video model alignment projects. 4. Documentation of visual artifacts, temporal glitches, and failure patterns.

2025 - Present

Image Generation Response Evaluation & Quality Assurance

ImageEvaluation Rating
Systematically evaluated AI generated images across diverse use cases including photorealistic renders, artistic compositions, and technical diagrams. Participated in Reinforcement Learning from Human Feedback (RLHF) projects, providing preference rankings and quality assessments. Created adversarial prompts to test model boundaries and edge cases, identifying artifacts, prompt adherence failures, and stylistic inconsistencies. 1. Visual quality assessment based on different dimensions for AI generated imagery. 2. Prompt to output fidelity evaluation across multiple styles. 3. Adversarial prompt engineering for image generation models. 4. Participation in RLHF based image model improvement projects. 5. Documentation of visual artifacts, biases, and failure modes.

Systematically evaluated AI generated images across diverse use cases including photorealistic renders, artistic compositions, and technical diagrams. Participated in Reinforcement Learning from Human Feedback (RLHF) projects, providing preference rankings and quality assessments. Created adversarial prompts to test model boundaries and edge cases, identifying artifacts, prompt adherence failures, and stylistic inconsistencies. 1. Visual quality assessment based on different dimensions for AI generated imagery. 2. Prompt to output fidelity evaluation across multiple styles. 3. Adversarial prompt engineering for image generation models. 4. Participation in RLHF based image model improvement projects. 5. Documentation of visual artifacts, biases, and failure modes.

2025 - Present

AI Model Evaluation & RLHF Contributor

OtherTextRLHF
Regularly tested and evaluated LLM outputs in various use cases such as code generation and technical writing. Participated in Reinforcement Learning from Human Feedback (RLHF) projects, creating adversarial prompts and documenting model behavior patterns. Provided insights and recommendations for improving AI model capabilities. • LLM output evaluation for technical and creative domains • Adversarial prompt creation to identify model weaknesses • Participation in RLHF-based AI alignment projects • Documentation and reporting of AI behavioral patterns

Regularly tested and evaluated LLM outputs in various use cases such as code generation and technical writing. Participated in Reinforcement Learning from Human Feedback (RLHF) projects, creating adversarial prompts and documenting model behavior patterns. Provided insights and recommendations for improving AI model capabilities. • LLM output evaluation for technical and creative domains • Adversarial prompt creation to identify model weaknesses • Participation in RLHF-based AI alignment projects • Documentation and reporting of AI behavioral patterns

2025 - Present

Data Annotation & ML Training Specialist

OtherText
In this role, I completed over 500 hours of data annotation and labeling tasks for machine learning datasets. My work included evaluating and ranking LLM-generated responses on multiple platforms and developing complex prompts to assess reasoning. I consistently maintained a 95%+ quality score on all annotation and evaluation tasks. • Data annotation and labeling of text datasets for ML applications • Evaluation and ranking of LLM-generated responses • Prompt engineering to test model reasoning • Maintaining high annotation quality standards

In this role, I completed over 500 hours of data annotation and labeling tasks for machine learning datasets. My work included evaluating and ranking LLM-generated responses on multiple platforms and developing complex prompts to assess reasoning. I consistently maintained a 95%+ quality score on all annotation and evaluation tasks. • Data annotation and labeling of text datasets for ML applications • Evaluation and ranking of LLM-generated responses • Prompt engineering to test model reasoning • Maintaining high annotation quality standards

2025 - Present

Education

L

Lincoln University College

Higher National Diploma, Computer Software Engineering

Higher National Diploma
2021 - 2024
L

Lincoln University College

Bachelor of Science, Computer Software Engineering

Bachelor of Science
2024

Work History

S

Self-Employed

Freelance Technical Writer and Software Developer

Lagos
2025 - Present
D

Dinerro Technologies

Technical Writer

Lagos
2025 - 2025