Shivani Kumari

Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Argilla

Axiom AI

Clickworker

CloudFactory

CrowdFlower

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Datatroniq

Datumbox

Datasaur

Datature

Dataturk

Deep Systems

Diffgram

Doccano

Encord

Figure Eight

Google Cloud Vertex AI

Hasty

HiveMind

Humanatic

iMerit

Img Lab

Kili Technology

Labelbox

LabelImg

Label Studio

LightTag

Lionbridge

Mercor

Mighty AI

Mindrift

OneForma

OpenCV AI Kit (OAK)

Playment

Prodigy

Redbrick AI

Remotasks

Roboflow

Sama

Scale AI

Sloth

Snorkel AI

SuperAnnotate

Supervisely

Surge AI

Tagtog

Toloka

Telus

Trilldata Technologies

VoTT

V7 Labs

Other

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Computer Code Programming

Document

Geospatial Tiled Imagery

Image

Medical Dicom

Text

Video

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Classification

Computer Programming Coding

Cuboid

Data Collection

Diagnosis

Emotion Recognition

Entity Ner Classification

Evaluation Rating

Fine Tuning

Function Calling

Geocoding

Land Cover Classification

Mapping

Object Detection

Point Key Point

Polygon

Polyline

Prompt Response Writing SFT

Question Answering

Red Teaming

Relationship

RLHF

Routing

Segmentation

Text Generation

Text Summarization

Tracking

Transcription

Translation Localization

Freelancer Overview

I am a detail-oriented AI Training and Data Labeling professional with hands-on experience in text, audio, and language annotation for machine learning datasets. I have worked on multilingual projects involving English and Hindi transcription, data labeling, and quality assurance, ensuring high accuracy and strict adherence to annotation guidelines. My experience includes reviewing and validating labeled data to support NLP and speech recognition models. I bring strong attention to detail, consistency, and the ability to handle large volumes of data in guideline-driven environments. With experience across platforms such as Outlier and RWS, along with a background in content and visual data handling, I am well-equipped to contribute to high-quality AI training datasets, improve data reliability, and meet project deadlines efficiently.

Labeling Experience

RWS – Language Transcriber & Data Annotation Specialist

OtherAudioClassification

Transcribed and annotated audio data in English and Hindi for NLP tasks. Labeled multilingual speech recordings for speech recognition model training. Maintained high standards of quality assurance and strict compliance with established guidelines. Helped refine and improve speech datasets used in AI applications. • Handled sensitive and confidential audio materials. • Labeled utterances for speaker and language recognition. • Collaborated closely with quality assurance teams. • Ensured multilingual data integrity during annotation.

Transcribed and annotated audio data in English and Hindi for NLP tasks. Labeled multilingual speech recordings for speech recognition model training. Maintained high standards of quality assurance and strict compliance with established guidelines. Helped refine and improve speech datasets used in AI applications. • Handled sensitive and confidential audio materials. • Labeled utterances for speaker and language recognition. • Collaborated closely with quality assurance teams. • Ensured multilingual data integrity during annotation.

2025

Outlier – Data Labeler / AI Data Annotator

Scale AITextClassification

Performed text and language data labeling for AI and machine learning training datasets. Consistently followed detailed annotation guidelines to assure accuracy and consistency. Conducted thorough quality checks and error reviews on all annotated data. Played a critical role in preparing high-quality datasets for model development. • Labeled language datasets to improve NLP models. • Maintained strict compliance with task instructions. • Checked and verified peer work for errors. • Delivered reviewed data within strict deadlines.

Performed text and language data labeling for AI and machine learning training datasets. Consistently followed detailed annotation guidelines to assure accuracy and consistency. Conducted thorough quality checks and error reviews on all annotated data. Played a critical role in preparing high-quality datasets for model development. • Labeled language datasets to improve NLP models. • Maintained strict compliance with task instructions. • Checked and verified peer work for errors. • Delivered reviewed data within strict deadlines.

2023 - 2025

Education

Work History