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Aditi B.

Aditi B.

Generalist Expert | Mercor (Remote)

India flagN/A, India

Key Skills

Software

MercorMercor
Other
Don't disclose

Top Subject Matter

AI model training data annotation and taxonomy/rubric-based labeling
Taxonomy-based information labeling from reports and datasets for analytics
Structured record maintenance with guideline-based validation

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

Generalist Expert | Mercor (Remote). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mercor, Other, and Don't disclose. Education includes Master of Business Administration, MIT World Peace University (2025) and Bachelor of Computer Applications, MIT World Peace University (2023). AI-training focus includes data types such as Text, Document, and Image and labeling workflows including Classification and Entity (NER) Classification.

Labeling Experience

Generalist Expert - Mercor

ImageImageClassificationClassification

Supported AI model training by synthesizing and organizing large volumes of multimodal datasets using provided taxonomies and annotation guidelines while maintaining high accuracy and consistency. Applied rubric-based frameworks to produce structured outputs and improve reliability of downstream AI systems. Actively identified ambiguities and edge cases, providing feedback to strengthen data quality and guideline clarity for future iterations. • Applied predefined taxonomies and annotation frameworks to text, image, and multimodal data • Maintained 95%+ annotation accuracy and consistent output quality • Flagged inconsistencies, ambiguities, and edge cases to improve dataset reliability • Worked independently in a remote setup while meeting tight deadlines and reporting progress

2026 - 2026
Mercor

Generalist Expert | Mercor (Remote)

MercorMercorTextTextClassificationClassification

Applied predefined taxonomies and detailed rubrics to synthesize and categorize large-scale datasets for AI model training, maintaining 95%+ annotation accuracy. Flagged ambiguities, inconsistencies, and edge cases to improve dataset quality and annotation guidelines. Produced structured, high-quality annotated outputs to enhance next-generation AI system reliability. • Categorized diverse datasets (text, images, and multimodal) using standardized annotation frameworks. • Validated data quality through inconsistency and edge-case detection. • Updated feedback loops by reporting ambiguities and guideline gaps. • Maintained consistent output quality under tight deadlines in remote work.

2026 - 2026

Research Associate Intern | HTF Market Intelligence Consulting Pvt Ltd.

OtherDocumentDocumentEntity (NER) ClassificationEntity (NER) ClassificationClassificationClassification

Categorized and labeled key data points from 50+ industry reports and structured datasets using standardized taxonomies, improving client decision-making efficiency by 25%. Identified and flagged data inconsistencies, anomalies, and quality issues using systematic validation to maintain zero client-facing errors. Built reusable rubrics and annotation workflows to standardize categorization procedures and reduce processing time by 20%. • Performed taxonomy-based labeling of structured datasets and extracted datapoints from documents. • Conducted validation checks to catch inconsistencies and anomalies. • Authored process documentation and annotation workflows for reuse. • Coordinated with remote cross-functional teams across time zones.

2024 - 2024

Human Resources Trainee | IFortis Worldwide (Virtual Internship)

Don't discloseTextTextClassificationClassification

Managed structured data entry using standardized guidelines in a fully remote environment to ensure accuracy and consistency across organizational records. Ensured strict compliance with documentation and process standards through careful attention to detail. Supported reliable maintenance of structured information used for internal organizational workflows. • Entered and maintained structured records with guideline-based accuracy checks. • Applied standardized process guidelines to reduce inconsistencies. • Managed multiple concurrent administrative tasks while preserving data quality. • Maintained compliance with documentation standards during the internship.

2022 - 2022

Education

M

MIT World Peace University

Master of Business Administration, Business Analytics

Master of Business Administration
2023 - 2025
M

MIT World Peace University

Bachelor of Computer Applications, Computer Applications

Bachelor of Computer Applications
2020 - 2023

Work History

M

Mercor

Generalist Expert

N/A
2026 - 2026
H

HTF Market Intelligence Consulting Pvt Ltd

Research Associate Intern

N/A
2024 - 2024