For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
C
Caleb Ifeanyi

Caleb Ifeanyi

Community Lead & Moderator - AI/Data Annotation

Nigeria flagKaduna, Nigeria
ExpertOther

Key Skills

Software

Other

Top Subject Matter

AI/Web3 Community Moderation
AI Output Evaluation/Model Comparison
AI Prompt Engineering & Adversarial Testing

Top Data Types

TextText

Top Task Types

Red TeamingRed Teaming

Freelancer Overview

Community Lead & Moderator - AI/Data Annotation. Core strengths include Other. Education includes Bachelor of Science, University of Georgia (2023) and Bachelor of Science, Georgia Institute of Technology (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Red Teaming.

Expert

Labeling Experience

Prompt Engineer & Evaluator - Red Teaming/Annotation (Independent)

OtherTextRed Teaming
I executed red teaming and adversarial prompt engineering to stress-test large language models and identify boundary cases in AI reasoning. My iterative approach involved refining prompts, categorizing AI outputs, and systematically evaluating for hallucinations, logical breakdowns, and misalignment. Documentation ensured consistent, reproducible results and informed model improvement strategies. • Designed and tested challenging evaluation prompts • Performed annotation to categorize evaluation findings • Implemented structured multi-step output analysis • Provided comprehensive documentation for ongoing improvement

I executed red teaming and adversarial prompt engineering to stress-test large language models and identify boundary cases in AI reasoning. My iterative approach involved refining prompts, categorizing AI outputs, and systematically evaluating for hallucinations, logical breakdowns, and misalignment. Documentation ensured consistent, reproducible results and informed model improvement strategies. • Designed and tested challenging evaluation prompts • Performed annotation to categorize evaluation findings • Implemented structured multi-step output analysis • Provided comprehensive documentation for ongoing improvement

2023 - 2023

Research-Based Content Contributor - AI Output Evaluation

OtherText
I conducted structured evaluation of AI-generated responses using prompt engineering and model comparison strategies. My work included simulating labeling workflows that matched supervised fine-tuning, scoring for logical consistency, accuracy, and hallucination risk across ChatGPT and Google Gemini outputs. Documentation focused on identifying weaknesses in reasoning and facilitating high-quality training data production for model alignment efforts. • Developed evaluation frameworks assessing output reliability • Simulated supervised training data annotation processes • Reported performance trends and suggested improvements • Ensured guideline adherence in all submitted outputs

I conducted structured evaluation of AI-generated responses using prompt engineering and model comparison strategies. My work included simulating labeling workflows that matched supervised fine-tuning, scoring for logical consistency, accuracy, and hallucination risk across ChatGPT and Google Gemini outputs. Documentation focused on identifying weaknesses in reasoning and facilitating high-quality training data production for model alignment efforts. • Developed evaluation frameworks assessing output reliability • Simulated supervised training data annotation processes • Reported performance trends and suggested improvements • Ensured guideline adherence in all submitted outputs

2023 - 2023

Community Lead & Moderator - AI/Data Annotation

OtherText
I executed quality control and structured evaluation processes to refine AI-related discourse in a digital community. My responsibilities involved evaluating accuracy, logical consistency, and factual reliability, following standardized methodologies related to AI output evaluation and data annotation. I systematically reviewed user-generated text content, correcting misinformation and providing critical feedback on discussions to maintain quality standards. • Evaluated and refined user-generated content for factual accuracy • Applied guideline-based critical analysis to all communications • Leveraged principles of adversarial testing in content review workflows • Documented real-time quality assurance insights aligned with AI model training standards

I executed quality control and structured evaluation processes to refine AI-related discourse in a digital community. My responsibilities involved evaluating accuracy, logical consistency, and factual reliability, following standardized methodologies related to AI output evaluation and data annotation. I systematically reviewed user-generated text content, correcting misinformation and providing critical feedback on discussions to maintain quality standards. • Evaluated and refined user-generated content for factual accuracy • Applied guideline-based critical analysis to all communications • Leveraged principles of adversarial testing in content review workflows • Documented real-time quality assurance insights aligned with AI model training standards

2023 - 2023

Education

G

Georgia Institute of Technology

Bachelor of Science, Computational and Data Science

Bachelor of Science
2019 - 2023
U

University of Georgia

Bachelor of Science, Food Science and Technology

Bachelor of Science
2019 - 2023

Work History

No Work History added yet

Caleb I. hasn’t added any Work History to their OpenTrain profile yet.