Caleb A.

Key Skills

Software

Don't disclose

Appen

Labelbox

Clickworker

Top Subject Matter

LLM evaluation

Red-teaming Domain Expertise

and RLHF-style feedback

Top Data Types

Text

Image

Document

Top Task Types

Prompt + Response Writing (SFT)

Classification

Object Detection

Question Answering

Text Summarization

Text Generation

Fine-tuning

Evaluation/Rating

Data Collection

Freelancer Overview

AI Training Specialist / Prompt Engineer (Gemini AI Evaluation Projects). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose, Appen, and Labelbox. Education includes Bachelor of Agricultural Technology, The Federal University of Technology, Akure (FUTA) (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

AI Training & Data Labeling (Labelbox QA-focused annotation)

LabelboxTextClassification

Performed precise data labeling and quality assurance for training datasets using Labelbox to meet complex project guidelines. Ensured labeled outputs were high-fidelity inputs for text-based AI models and computer vision training where applicable. Conducted QA checks to maintain annotation consistency and adherence to specifications. • Labelbox: data labeling and dataset QA. • Ensured 100% adherence to complex labeling guidelines. • Produced high-fidelity labeled inputs for model training. • Supported quality control for text and computer-vision related datasets.

2023 - Present

AI Training & Data Annotation (Appen search relevance & linguistic annotation)

AppenText

Conducted rigorous search relevance testing and linguistic annotation to evaluate algorithmic outputs against human search intent. Work focused on improving machine learning search model accuracy through high-quality judgments. Included consistent evaluation of relevance signals and language characteristics in annotated results. • Appen: search relevance testing. • Linguistic annotation aligned with human intent. • Evaluation of outputs for relevance accuracy. • Quality-focused assessments to improve search ML performance.

2023 - Present

AI Training Specialist / Prompt Engineer (Outlier creative writing & SFT support)

Don't discloseTextPrompt + Response Writing (SFT)

Created complex, creative-writing-focused prompts to test and evaluate LLM logic, narrative flow, and stylistic adaptability. Performed response evaluation for factual consistency, tone, and instruction-following to support supervised fine-tuning dataset development. Delivered high-quality prompt-and-response examples aligned to project guidelines. • Outlier: prompt design for creativity and narrative control. • Response evaluation for factual consistency and tone. • Instruction-following checks for dataset inclusion. • Contribution to SFT dataset quality through rigorous screening.

2023 - Present

AI Training Specialist / Prompt Engineer (Gemini AI Evaluation Projects)

Don't discloseImageFine-tuning

Freelance AI Training and Prompt Engineering work evaluating LLM outputs for safety, factual accuracy, formatting adherence, and conversational quality. Responsibilities included providing detailed human feedback to refine model behavior and reduce hallucinations. Work also supported training improvements through iterative prompt optimization and human evaluation standards. • Gemini: fact-checking prompts and safety/factuality evaluation. • RLHF-style human feedback to adjust tone and logical reasoning. • Assessment of instruction-following and formatting adherence. • Iterative refinement to reduce hallucination rates.

2023 - Present

Education

Work History