Dharav Shah

Key Skills

Software

Mercor

Mindrift

Scale AI

Snorkel AI

Toloka

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Bounding Box

Classification

Data Collection

Entity Ner Classification

Evaluation Rating

Object Detection

Prompt Response Writing SFT

Question Answering

Red Teaming

RLHF

Text Generation

Text Summarization

Freelancer Overview

I am a detail-oriented AI Data Specialist with several years of hands-on experience in data labeling, annotation, and quality review for AI training across text, image, audio, and video modalities. My work has supported projects in computer vision and natural language processing, where I have performed pairwise comparisons, object tagging, intent recognition, and prompt-response alignment using web-based annotation platforms and structured QA frameworks. I am fluent in English and skilled at evaluating AI-generated content for clarity, accuracy, and safety, always adhering to strict confidentiality and ethical standards. I thrive in remote, task-based environments, consistently delivering high-quality, guideline-compliant results while adapting quickly to evolving project requirements.

Labeling Experience

AI Data Specialist (Freelance / Remote)

Scale AIImageBounding BoxObject Detection

As an AI Data Specialist, I supported training and evaluation of AI models through structured annotation and quality assurance. I labeled and scored text, image, audio, and video data based on detailed guidelines and taxonomies. My work included object tagging, counting, pairwise comparison, and English output review in fully remote environments. • Performed pairwise comparisons for output ranking and relevance. • Labeled multimodal data according to project taxonomies and instructions. • Conducted object and counting tasks to support computer vision models. • Reviewed and rated English text for fluency, coherence, and policy compliance.

As an AI Data Specialist, I supported training and evaluation of AI models through structured annotation and quality assurance. I labeled and scored text, image, audio, and video data based on detailed guidelines and taxonomies. My work included object tagging, counting, pairwise comparison, and English output review in fully remote environments. • Performed pairwise comparisons for output ranking and relevance. • Labeled multimodal data according to project taxonomies and instructions. • Conducted object and counting tasks to support computer vision models. • Reviewed and rated English text for fluency, coherence, and policy compliance.

2023

Data Annotation and Quality Review Specialist (Contract / Remote)

MindriftTextEntity Ner ClassificationClassification

In this contractor role, I labeled both structured and unstructured textual data for machine learning workflows. I evaluated AI-generated responses for quality and relevance based on rubrics and guidelines. Additional tasks included cleaning datasets and applying consistent judgment on annotation accuracy. • Classified and tagged natural language data for NLP projects. • Used standardized rubrics to assess and rate AI model outputs. • Removed duplicates and noise to refine datasets. • Maintained high accuracy over repetitive annotation cycles.

In this contractor role, I labeled both structured and unstructured textual data for machine learning workflows. I evaluated AI-generated responses for quality and relevance based on rubrics and guidelines. Additional tasks included cleaning datasets and applying consistent judgment on annotation accuracy. • Classified and tagged natural language data for NLP projects. • Used standardized rubrics to assess and rate AI model outputs. • Removed duplicates and noise to refine datasets. • Maintained high accuracy over repetitive annotation cycles.

2021 - 2023

Digital Content Analyst (Remote)

MercorTextQuestion AnsweringText Summarization

As a Digital Content Analyst, I reviewed, tagged, and categorized digital content to enhance organization and structure. I followed labeling protocols to support downstream analytics in remote, web-based environments. Accuracy, compliance, and content quality were always emphasized. • Applied content tagging and labeling frameworks for web data. • Ensured digital asset compliance with established guidelines. • Used productivity tools and web-based dashboards for annotations. • Supported structured data collection and metadata enhancement.

As a Digital Content Analyst, I reviewed, tagged, and categorized digital content to enhance organization and structure. I followed labeling protocols to support downstream analytics in remote, web-based environments. Accuracy, compliance, and content quality were always emphasized. • Applied content tagging and labeling frameworks for web data. • Ensured digital asset compliance with established guidelines. • Used productivity tools and web-based dashboards for annotations. • Supported structured data collection and metadata enhancement.

2019 - 2021

Education

Work History