Asmi Zutshi

Key Skills

Software

Other

Labelbox

Mercor

Micro1

Mindrift

OneForma

Remotasks

SuperAnnotate

Toloka

Top Subject Matter

AI Model Evaluation and Fine-Tuning

Speech Data Collection and Annotation

Multimodal Generative AI Evaluation

Top Data Types

Text

Audio

Image

Video

Top Task Types

Audio Recording

Bounding Box

Segmentation

Text Generation

Question Answering

Text Summarization

Fine Tuning

Transcription

Data Collection

Prompt Response Writing SFT

Freelancer Overview

AI Trainer & Rubrics Evaluator - micro1. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1, Other, and Mercor. Education includes Bachelor of Science, Chandigarh University (2023) and Master of Science, Wilfrid Laurier University (2025). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Evaluation, Rating, and Audio Recording.

Labeling Experience

AI Trainer & Rubrics Evaluator - micro1

Micro1Text

As an AI Trainer & Rubrics Evaluator at micro1, I reviewed AI-generated responses for accuracy, clarity, safety, and alignment with task instructions. I evaluated model outputs using structured rubrics and annotated datasets, providing detailed feedback across reasoning, coding, and natural language tasks. I identified edge cases, hallucinations, and logical inconsistencies to enhance model behavior and training data quality. • Trained and fine-tuned large language model outputs by thorough review and assessment. • Maintained high evaluation throughput while ensuring precision and compliance with guidelines. • Collaborated with AI teams to improve prompt design and evaluation frameworks. • Focused on diverse tasks, including natural language, reasoning, and coding output review.

As an AI Trainer & Rubrics Evaluator at micro1, I reviewed AI-generated responses for accuracy, clarity, safety, and alignment with task instructions. I evaluated model outputs using structured rubrics and annotated datasets, providing detailed feedback across reasoning, coding, and natural language tasks. I identified edge cases, hallucinations, and logical inconsistencies to enhance model behavior and training data quality. • Trained and fine-tuned large language model outputs by thorough review and assessment. • Maintained high evaluation throughput while ensuring precision and compliance with guidelines. • Collaborated with AI teams to improve prompt design and evaluation frameworks. • Focused on diverse tasks, including natural language, reasoning, and coding output review.

2026 - Present

Audio AI Trainer - Chorus Audio

OtherAudioAudio Recording

As an Audio AI Trainer at Chorus Audio, I recorded and labeled high-quality audio samples following scripts and guidelines for AI training. I maintained consistency and audio quality across multiple recording sessions, meeting daily targets for speech data production. I adhered strictly to data privacy and ethical AI standards during all tasks. • Reviewed and re-recorded unclear or low-quality audio to maintain accuracy. • Labeled and submitted audio files precisely for AI dataset purposes. • Followed strict quality, format, and submission standards for audio datasets. • Ensured clear pronunciation, consistent tone, and minimal background noise throughout.

As an Audio AI Trainer at Chorus Audio, I recorded and labeled high-quality audio samples following scripts and guidelines for AI training. I maintained consistency and audio quality across multiple recording sessions, meeting daily targets for speech data production. I adhered strictly to data privacy and ethical AI standards during all tasks. • Reviewed and re-recorded unclear or low-quality audio to maintain accuracy. • Labeled and submitted audio files precisely for AI dataset purposes. • Followed strict quality, format, and submission standards for audio datasets. • Ensured clear pronunciation, consistent tone, and minimal background noise throughout.

2026 - 2026

Data Annotator & AI Trainer (Part-time) - Mercor

MercorImage

As a Data Annotator & AI Trainer at Mercor, I performed daily preference ranking and comparative judgment of hundreds of multimodal AI outputs across images, audio, and video. I systematically evaluated the relevance, quality, and coherence of generative model outputs, contributing to preference optimization and reliable training data. My work maintained high accuracy within large-scale annotation workflows and supported model improvement. • Collaborated with AI teams to identify quality trends and provide actionable feedback. • Ensured consistent evaluation across diverse data modalities. • Contributed to preference optimization and model fine-tuning workflows. • Applied systematic judgment techniques to diverse generative AI outputs.

As a Data Annotator & AI Trainer at Mercor, I performed daily preference ranking and comparative judgment of hundreds of multimodal AI outputs across images, audio, and video. I systematically evaluated the relevance, quality, and coherence of generative model outputs, contributing to preference optimization and reliable training data. My work maintained high accuracy within large-scale annotation workflows and supported model improvement. • Collaborated with AI teams to identify quality trends and provide actionable feedback. • Ensured consistent evaluation across diverse data modalities. • Contributed to preference optimization and model fine-tuning workflows. • Applied systematic judgment techniques to diverse generative AI outputs.

2025 - 2026

Education

Work History