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Demetrius Carter

AI Trainer – Handshake Ai (Part-Time)

USA flag
Austin, Usa
$16.00/hrIntermediateMercor

Key Skills

Software

MercorMercor

Top Subject Matter

Multimodal Generative AI
Autonomous Vehicle Systems
Transportation/Tolling Systems

Top Data Types

ImageImage
AudioAudio
VideoVideo
TextText
DocumentDocument

Top Task Types

Data Collection
Classification

Freelancer Overview

AI Trainer – Handshake Ai (Part-Time). Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Internal, and Proprietary Tooling. Education includes Bachelor of Science, The Art Institute of Houston (2014) and Technical Certificate, University of Texas Center For Professional Education (2023). AI-training focus includes data types such as Image, Audio, and Video and labeling workflows including Evaluation, Rating, and Data Collection.

IntermediateEnglish

Labeling Experience

AI Trainer – Handshake Ai (Part-Time)

OtherImage
As an AI Trainer at Handshake Ai, I conducted preference ranking of multimodal AI outputs, including images, audio, and video. My work ensured consistent and reliable evaluations that contributed to improved model fine-tuning and preference optimization. I maintained high throughput in large-scale annotation workflows while collaborating closely with cross-functional teams to boost generative AI capabilities. • Performed daily preference ranking of hundreds of multimodal AI outputs. • Utilized specialized labeling platforms and systematic comparative judgment techniques. • Provided actionable feedback for improvement in model alignment and generative capabilities. • Supported preference-based reinforcement learning and training data reliability.

As an AI Trainer at Handshake Ai, I conducted preference ranking of multimodal AI outputs, including images, audio, and video. My work ensured consistent and reliable evaluations that contributed to improved model fine-tuning and preference optimization. I maintained high throughput in large-scale annotation workflows while collaborating closely with cross-functional teams to boost generative AI capabilities. • Performed daily preference ranking of hundreds of multimodal AI outputs. • Utilized specialized labeling platforms and systematic comparative judgment techniques. • Provided actionable feedback for improvement in model alignment and generative capabilities. • Supported preference-based reinforcement learning and training data reliability.

2026 - 2026

AP Engineer – Tesla

ImageData Collection
As an AP Engineer at Tesla, I was responsible for gathering critical audio and visual datasets to train Autopilot neural networks. I managed daily data collection missions, documenting technical issues and analyzing field data to ensure the quality and accuracy of training data. My contributions supported the continuous improvement of autonomous driving capabilities. • Operated engineering vehicles equipped for dynamic data capture. • Gathered and managed datasets essential for neural network training. • Analyzed field data for gaps and inconsistencies in collection protocols. • Provided feedback to enhance future data collection strategies.

As an AP Engineer at Tesla, I was responsible for gathering critical audio and visual datasets to train Autopilot neural networks. I managed daily data collection missions, documenting technical issues and analyzing field data to ensure the quality and accuracy of training data. My contributions supported the continuous improvement of autonomous driving capabilities. • Operated engineering vehicles equipped for dynamic data capture. • Gathered and managed datasets essential for neural network training. • Analyzed field data for gaps and inconsistencies in collection protocols. • Provided feedback to enhance future data collection strategies.

2024 - 2024

Image Review Auditor – Kapsch TrafficCom

OtherImageClassification
As an Image Review Auditor at Kapsch TrafficCom, I reviewed and audited high volumes of roadside tolling images to verify vehicle license data. This role required tagging data discrepancies and identifying recurring image capture errors to maintain data accuracy and confidentiality. I worked with technical teams to improve device calibration for optimal image quality. • Audited roadside tolling images for accurate data capture. • Tagged and classified discrepancies in vehicle license information. • Applied data management best practices for audit-readiness. • Communicated errors and improvements to technical teams.

As an Image Review Auditor at Kapsch TrafficCom, I reviewed and audited high volumes of roadside tolling images to verify vehicle license data. This role required tagging data discrepancies and identifying recurring image capture errors to maintain data accuracy and confidentiality. I worked with technical teams to improve device calibration for optimal image quality. • Audited roadside tolling images for accurate data capture. • Tagged and classified discrepancies in vehicle license information. • Applied data management best practices for audit-readiness. • Communicated errors and improvements to technical teams.

2021 - 2022

Education

C

Coursera / Google

Technical Certificate, UX Design

Technical Certificate
2024 - 2024
U

University of Texas Center For Professional Education

Technical Certificate, Full Stack Web Development

Technical Certificate
2023 - 2023

Work History

M

MOIA America

Test Engineer I

San Diego
2024 - Present
F

Freelance

Graphic & Visual Designer

San Diego
2014 - Present