Jizhou Z.

Key Skills

Software

No software listed

Top Subject Matter

Call audio review and quality evaluation

Simulation data validation for ADAS driving events

Ground-truth labeling support for driving behavior and clock-drawing tests

Top Data Types

Audio

Image

Top Task Types

Data Collection

Classification

Freelancer Overview

Speech Analytics Programmer (CallMiner). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CallMiner, MATLAB, and Jupyter. Education includes Master of Science, University of Michigan–Dearborn (2024) and Bachelor of Science, Oakland University (2020). AI-training focus includes data types such as Audio, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Software Quality Associate, Contractor (Waymo)

Data Collection

Computed collision-avoidance scenarios using simulated driving sensor inputs and reasoning about potential causes of driving issues. Documented and filed bugs for simulated driving events that were identified as possible issues. Supported the development of simulation ground-truth outputs by validating reasoning behind observed or false driving events. • Evaluated simulated driving events for potential correctness issues. • Reported bugs for events deemed possible/incorrect. • Analyzed simulated driving reasoning behind issues. • Assisted in generating or validating ground-truth data outputs.

2022 - 2023

Graduate Student Research Assistant - University of Michigan

ImageClassification

Conducted graduate research focused on driving behavior and dementia-related cognitive assessments. Assisted faculty with study planning, literature review, and participant training. Coordinated data collection workflows to produce reliable ground truth for subsequent analysis and evaluation. • Assisted professor with driving-behavior and clock-drawing test research • Reviewed prior research papers and study methods • Trained driving participants to record trip and cognitive data • Developed and validated ground-truth generation accuracy using image classification

2021 - 2022

Graduate Student Research Assistant (Driving-behavior & dementia clock-drawing research)

Classification

Collected and prepared cognitive and driving-behavior datasets by instructing participants on recording trip and cognitive data. Coordinated trip mileage, GPS video, and cognitive data collection to support subsequent analysis. Trained and tested the accuracy of image-based ground-truth using an image classification program for clock-drawing scores. • Trained participants to record trip and cognitive data. • Coordinated mileage, GPS video, and cognitive data capture. • Developed approaches to derive ground-truth from clock-drawing scores. • Validated image classification accuracy for ground-truth testing.

2021 - 2022

Speech Analytics Programmer (CallMiner)

Audio

Audited syntaxes and reviewed recorded phone calls for accuracy and employee performance. Reported and documented discrepancies found during the review to support quality of recorded-call outputs. Used these evaluations to improve consistency of generated recordings between employees and clients. • Reviewed recorded phone calls for syntax accuracy. • Assessed employee performances based on call content. • Used CallMiner-generated outputs as the basis for evaluation. • Produced feedback to improve future call generation quality.

2016 - 2020

Education

Work History