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C

Chebet Benice Neibei

Advanced AI Data Trainer | Invisible Technologies

Uganda flagEntebbe, Uganda
$20.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Large Language Models
Scientific and Technical Content
Legal Services & Contract Review

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

RLHF
Evaluation Rating
Bounding Box

Freelancer Overview

As a professional AI Operations Specialist with nearly two years of experience, I bring a unique blend of technical data auditing and creative problem-solving to the AI training lifecycle. My expertise lies in fine-tuning LLMs through meticulous ranking, rewriting, and fact-checking. I have a proven track record of handling complex technical workflows and maintaining high quality scores across diverse projects, ranging from general conversational AI to specialized technical tasks. Beyond my core AI training skills, I am a self-starter who has successfully built and launched digital products, demonstrating strong technical literacy and adaptability. My experience allows me to bridge the gap between raw data and refined model intelligence, ensuring that every training set I touch meets the highest industry standards for reliability and performance.

IntermediateEnglishSwahili

Labeling Experience

Advanced Data AI Trainer

VideoEvaluation Rating
Temporal Quality Rating: Evaluating the fluidity and logical progression of video segments over time. Prompt-to-Video Alignment: Determining how accurately the generated video reflects the nuances of the input description. Safety & Content Auditing: Identifying and flagging policy violations or distorted visual artifacts to ensure model safety. Comparative Ranking: Analyzing multiple video outputs to rank them based on visual quality, lighting realism, and compositional accuracy.

Temporal Quality Rating: Evaluating the fluidity and logical progression of video segments over time. Prompt-to-Video Alignment: Determining how accurately the generated video reflects the nuances of the input description. Safety & Content Auditing: Identifying and flagging policy violations or distorted visual artifacts to ensure model safety. Comparative Ranking: Analyzing multiple video outputs to rank them based on visual quality, lighting realism, and compositional accuracy.

2024 - Present

Advanced Data AI Trainer

ImageEvaluation Rating
Ranking & Grading: Assigning high-fidelity ratings to model responses based on nuanced rubrics (Helpfulness, Honesty, Harmlessness). Error Analysis: Identifying subtle hallucinations, logical fallacies, and tone inconsistencies in model outputs. SFT Data Creation: Writing "Gold Standard" responses to serve as training targets for future model iterations. Quality Assurance: Maintaining a consistent 95%+ quality score through meticulous attention to detail and deep understanding of prompt engineering principles.

Ranking & Grading: Assigning high-fidelity ratings to model responses based on nuanced rubrics (Helpfulness, Honesty, Harmlessness). Error Analysis: Identifying subtle hallucinations, logical fallacies, and tone inconsistencies in model outputs. SFT Data Creation: Writing "Gold Standard" responses to serve as training targets for future model iterations. Quality Assurance: Maintaining a consistent 95%+ quality score through meticulous attention to detail and deep understanding of prompt engineering principles.

2024 - Present

Advanced AI Data Trainer | Invisible Technologies

TextRLHF
As an Advanced AI Data Trainer, I reviewed and rated AI-generated responses for factual accuracy, relevance, and quality across multiple content types using RLHF frameworks. I applied structured evaluation rubrics, conducted fact verification, and gave actionable feedback to improve large language models. My role included prompt engineering, intent-checking, and adapting to evolving annotation guidelines in large-scale model development projects. • Consistently reviewed and rated AI text responses for accuracy and reliability. • Conducted source verification and fact-checking of scientific and technical claims. • Designed and iterated prompts using zero-shot, few-shot, and Chain-of-Thought techniques. • Identified errors and provided feedback to improve AI model outputs.

As an Advanced AI Data Trainer, I reviewed and rated AI-generated responses for factual accuracy, relevance, and quality across multiple content types using RLHF frameworks. I applied structured evaluation rubrics, conducted fact verification, and gave actionable feedback to improve large language models. My role included prompt engineering, intent-checking, and adapting to evolving annotation guidelines in large-scale model development projects. • Consistently reviewed and rated AI text responses for accuracy and reliability. • Conducted source verification and fact-checking of scientific and technical claims. • Designed and iterated prompts using zero-shot, few-shot, and Chain-of-Thought techniques. • Identified errors and provided feedback to improve AI model outputs.

2024 - Present

Education

M

Makerere University

Bachelor of Computer sciences, Computer Science

Bachelor of Computer sciences
2026 - 2026
N

N/A

Uganda Certificate of Education, General Secondary Education

Uganda Certificate of Education
2017 - 2017

Work History

I

Invisible Technologies

Advanced Data AI Trainer

Los Angeles
2024 - Present
E

Endiro Coffee

Shop Manager

Entebbe
2022 - 2024