Josephine B.

Key Skills

Software

Other

Top Subject Matter

LLM output evaluation and AI training support

Software QA with output evaluation and data verification

Top Data Types

Text

Top Task Types

Segmentation

Text Generation

RLHF

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

AI Trainer – AI Content Training & Evaluation (TELUS Digital). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor's Degree, Jomo Kenyatta University of Agriculture and Technology (JKUAT). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Trainer – AI Content Training & Evaluation (TELUS Digital)

Text

Evaluated and ranked AI-generated outputs, including multi-step responses and code solutions, against criteria for accuracy, relevance, completeness, and instruction adherence. Applied structured scoring rubrics to assess model behavior across complex tasks such as computer science and logic-based problems. Validated reasoning quality by identifying incorrect assumptions, constraint violations, and logical inconsistencies in outputs. • Created and applied scoring frameworks and rubrics for consistent evaluation • Performed numerical checks and data validation support using Python • Provided actionable feedback to improve model outputs and reasoning quality • Completed qualification assessments prior to production rollout

2024 - Present

QA & Automation Engineer (Pi Consulting Services Limited)

OtherText

Designed and executed structured test cases to validate system outputs against expected results using evaluation criteria analogous to AI scoring frameworks. Identified defects and inconsistencies through detailed analysis of system behavior and output data. Used Python-based automation and data verification workflows to support correctness checking and iterative quality improvements. • Built repeatable validation and discrepancy analysis procedures • Automated test automation and tabular data analysis with Pandas • Documented findings to support process optimization and quality iteration • Performed output verification aligned to defined requirements

2023 - 2024

Education

Work History