For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Aditya Birla

Aditya Birla

Expert AI data labeler for vision, NLP, and speech systems

INDIA flag
Gwalior, India
$15.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
TextText

Top Label Types

Bounding Box
Classification
Computer Programming Coding
Evaluation Rating
Fine Tuning

Freelancer Overview

I am an AI training specialist with hands-on experience labeling and evaluating multimodal data across vision, NLP, and audio. My work spans high-precision image/video annotation (bounding boxes, polygons, keypoints, tracking, OCR) for self-driving perception and retail product catalogs, as well as text-focused tasks such as NER, classification, QA, summarization, and prompt/response evaluation. I regularly perform LLM evaluation and RLHF-style feedback for safety, policy compliance, and output quality, with a strong focus on detecting hallucinations, bias, and harmful content. I’m fluent in English and Hindi, enabling bilingual judgments and localization. I’m tool-agnostic and productive in platforms like Labelbox, CVAT, Label Studio, Roboflow, and Doccano, and I adapt quickly to internal/proprietary pipelines. My strengths include meticulous QA, clear rubric interpretation, and reliable throughput under tight SLAs. I combine domain familiarity in automotive perception, e-commerce taxonomy/search relevance, and content safety to deliver clean, consistent datasets that improve model performance end-to-end.

Entry LevelHindiEnglish

Labeling Experience

Self-driving perception: vehicle and lane labeling (image)

OtherImageBounding Box
Self-driving vision: Labeled vehicles, lanes, traffic lights/signs using boxes, polygons, and keypoints across 50k frames. Performed track-level QA, adhered to class taxonomy and IoU/consistency SLAs, and delivered review-ready datasets in COCO format.

Self-driving vision: Labeled vehicles, lanes, traffic lights/signs using boxes, polygons, and keypoints across 50k frames. Performed track-level QA, adhered to class taxonomy and IoU/consistency SLAs, and delivered review-ready datasets in COCO format.

2025 - 2025

Education

M

Maulana Azad National Institute Of Technology Bhopal

Bachelor of Technology, Engineering

Bachelor of Technology
2021 - 2025

Work History

W

WorldQuant Research (India) Pvt. Ltd.

Research Consultant

N/A
2023 - Present