Wycliffe R.

Key Skills

Software

Micro1

Other

Mercor

Top Subject Matter

Aeronautical engineering (aerodynamics, propulsion systems, aircraft structures, avionics, aerospace systems)

Engineering and scientific domains within aerospace/aeronautics

Aerospace engineering (aircraft systems, aerodynamics, engineering standards)

Top Data Types

Video

Document

Image

Top Task Types

RLHF

Fine-tuning

Transcription

Red Teaming

Data Collection

Freelancer Overview

AI Training Specialist | Aeronautical Domain Expert at Micro1. Professional background includes roles such as AI Training Specialist (Aeronautical Engineering Domain Expert) and AI Content Evaluator (Engineering SME). Core strengths include Micro1, Other, and Mercor. Education includes Bachelor of Engineering, The Technical University of Kenya (2024). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

LLM Trainer | Aerospace Engineering Expert at Mercor

MercorTextFine-tuning

Acted as an LLM Trainer and Aerospace Engineering Expert for Mercor, training and evaluating large language models on aerospace engineering tasks. Developed expert prompt engineering strategies to stress-test LLM reasoning and generated supervised fine-tuning datasets with technical validation. Reviewed outputs for logical consistency, safety compliance, and engineering validity, and benchmarked responses against established engineering principles and aerospace standards. • Trained and evaluated LLMs on aircraft systems and aerodynamics tasks. • Generated and validated supervised fine-tuning datasets for aerospace labeling/training needs. • Performed output review for logical consistency, safety, and engineering correctness. • Benchmarked model outputs against aerospace technical standards.

2024 - Present

AI Content Evaluator | Engineering SME at Turing

OtherText

Worked as an AI Content Evaluator and Engineering SME for Turing, assessing large language model outputs for engineering and scientific accuracy. Conducted technical fact-checking and quality assurance on AI-generated educational and analytical content, including coherence, safety, and factual correctness. Designed engineering prompts to test reasoning depth and contextual understanding, then ranked and annotated responses using structured evaluation rubrics. • Performed technical fact-checking and quality assurance reviews for AI content. • Ranked and annotated model responses using structured evaluation rubrics. • Designed advanced prompts to probe reasoning depth and context handling. • Improved training datasets through detailed reviewer feedback and technical corrections.

2024 - Present

AI Training Specialist | Aeronautical Domain Expert at Micro1

Micro1TextRLHF

Served as an AI Training Specialist and Aeronautical Domain Expert for Micro1, evaluating AI-generated engineering responses across aerodynamics, propulsion, and aerospace systems. Built and curated high-quality prompt-response pairs and ground truth datasets to support RLHF and supervised fine-tuning workflows. Performed response ranking and correction of technical inaccuracies, hallucinations, and safety or instruction adherence issues in model outputs. • Created ground truth datasets and prompt-response pairs for RLHF and SFT. • Ranked multiple LLM outputs using criteria for correctness, safety compliance, and instruction adherence. • Conducted technical fact-checking to rectify aerospace reasoning errors and hallucinations. • Applied adversarial prompting and red teaming to optimize model behavior.

2024 - Present

Education

Work History