Aryan Mehta

Key Skills

Software

Telus

Scale AI

Roboflow

Labelbox

Top Subject Matter

Conversational AI

ASR and LLM alignment

AI code generation

Top Data Types

Audio

Image

Video

Top Task Types

Transcription

Evaluation/Rating

Computer Programming/Coding

Data Collection

Question Answering

Text Generation

Text Summarization

Bounding Box

Classification

Freelancer Overview

Locale Testing Project Evaluator. Core strengths include Telus, Outlier, and Internal. Education includes Master of Science, University of Texas at Dallas (2024). AI-training focus includes data types such as Audio, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

Locale Testing Project Evaluator (Telus Project)

TelusAudioEvaluation Rating

Evaluated AI-generated conversational responses and rated their performance for improvement. Used audio-based prompts and provided structured feedback to refine model behavior. Focused on assessing the accuracy and helpfulness of responses in a test environment. • Reviewed and rated audio prompts and outputs. • Identified improvement areas in conversational AI. • Leveraged test accounts for evaluation. • Contributed to model quality enhancement.

Evaluated AI-generated conversational responses and rated their performance for improvement. Used audio-based prompts and provided structured feedback to refine model behavior. Focused on assessing the accuracy and helpfulness of responses in a test environment. • Reviewed and rated audio prompts and outputs. • Identified improvement areas in conversational AI. • Leveraged test accounts for evaluation. • Contributed to model quality enhancement.

2026 - Present

Code Human Preference Evaluator (Alignerr Project)

Computer Code ProgrammingComputer Programming Coding

Evaluated AI-generated code across programming tasks for correctness and adherence to instructions. Conducted A/B testing and structured feedback to enhance code quality and alignment. Reviewed, tested, and rated model outputs within CLI-based environments for fine-tuning pipelines. • Identified code logic errors and edge cases. • Performed structured code reviews and ratings. • Contributed to model tuning via feedback. • Worked on real-world code generation scenarios.

Evaluated AI-generated code across programming tasks for correctness and adherence to instructions. Conducted A/B testing and structured feedback to enhance code quality and alignment. Reviewed, tested, and rated model outputs within CLI-based environments for fine-tuning pipelines. • Identified code logic errors and edge cases. • Performed structured code reviews and ratings. • Contributed to model tuning via feedback. • Worked on real-world code generation scenarios.

2026 - 2026

Audio Data Annotator and Evaluator (Aether Project)

AudioTranscription

Performed transcription, segmentation, and annotation on speech datasets for LLM alignment. Labeled and corrected audio–text pairs for ASR and language model training. Used comparative analysis and scoring frameworks to review and improve model outputs. • Annotated and segmented speech data. • Corrected transcription and timing inaccuracies. • Evaluated factuality and usefulness in model outputs. • Ensured quality for language model training.

Performed transcription, segmentation, and annotation on speech datasets for LLM alignment. Labeled and corrected audio–text pairs for ASR and language model training. Used comparative analysis and scoring frameworks to review and improve model outputs. • Annotated and segmented speech data. • Corrected transcription and timing inaccuracies. • Evaluated factuality and usefulness in model outputs. • Ensured quality for language model training.

2025 - 2026

Education

Work History