Satya Sruthi Pakalapati

Key Skills

Software

Appen

Clickworker

CrowdSource

Data Annotation Tech

Labelbox

Mercor

Micro1

Lionbridge

OneForma

Remotasks

Scale AI

Telus

Other

Top Subject Matter

General NLP

Legal Services & Contract Review

Search Relevance

Top Data Types

Text

Audio

Image

Document

Top Task Types

RLHF

Transcription

Classification

Freelancer Overview

AI Data Trainer & Independent Contractor. Brings 10+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen. Education includes Bachelor of Laws, Rajiv Gandhi Institute of Law (2022) and Master of Business Administration, JNTU (2016). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including RLHF, Transcription, and Classification.

Labeling Experience

Multimodal Annotation Specialist

AppenImageClassification

I performed image annotation and classification, as well as evaluation of video and speech data for multimodal AI projects. Image-related tasks included object classification and content evaluation for safety and relevance. Video and speech labeling enabled multimodal training and evaluation. • Classified images and evaluated visual content • Executed video and speech labeling for multimodal datasets • Ensured compliance with content guidelines • Provided input for safety review procedures.

I performed image annotation and classification, as well as evaluation of video and speech data for multimodal AI projects. Image-related tasks included object classification and content evaluation for safety and relevance. Video and speech labeling enabled multimodal training and evaluation. • Classified images and evaluated visual content • Executed video and speech labeling for multimodal datasets • Ensured compliance with content guidelines • Provided input for safety review procedures.

2020 - Present

Bilingual Audio Transcription and Linguistic Annotator

AppenAudioTranscription

I completed audio transcription and linguistic annotation projects as part of LLM training datasets. Tasks involved English–Telugu transcription and linguistic annotation to ensure data accuracy and high model performance. This work contributed to both open and proprietary speech corpora. • Transcribed and annotated audio clips bilingually • Focused on quality assurance and consistent labeling • Supported LLM speech recognition and translation tasks • Delivered multi-hour, multilingual transcription batches.

I completed audio transcription and linguistic annotation projects as part of LLM training datasets. Tasks involved English–Telugu transcription and linguistic annotation to ensure data accuracy and high model performance. This work contributed to both open and proprietary speech corpora. • Transcribed and annotated audio clips bilingually • Focused on quality assurance and consistent labeling • Supported LLM speech recognition and translation tasks • Delivered multi-hour, multilingual transcription batches.

2020 - Present

AI Data Trainer & Independent Contractor

AppenTextRLHF

As an AI Data Trainer and Independent Contractor, I performed RLHF, preference ranking, prompt writing, and safety evaluation for Large Language Models across general and legal domains. My responsibilities included English–Telugu bilingual data labeling, rewriting, summarization, and classification for LLM tasks. I also conducted multimodal annotation, data generation, and search engine evaluation projects. • Managed RLHF and preference ranking for LLMs • Labeled, classified, and summarized text datasets bilingually • Created instruction-based supervised datasets • Evaluated search engine results and multimodal content quality.

As an AI Data Trainer and Independent Contractor, I performed RLHF, preference ranking, prompt writing, and safety evaluation for Large Language Models across general and legal domains. My responsibilities included English–Telugu bilingual data labeling, rewriting, summarization, and classification for LLM tasks. I also conducted multimodal annotation, data generation, and search engine evaluation projects. • Managed RLHF and preference ranking for LLMs • Labeled, classified, and summarized text datasets bilingually • Created instruction-based supervised datasets • Evaluated search engine results and multimodal content quality.

2020 - Present

AI Data Trainer

ImageRLHF

I have worked in the project for Outlier platform which involves testing the model in various logical and visual reasoning domains. The goal of the project is to stump either one of the model by failing it to achieve Ground Truth answer.

I have worked in the project for Outlier platform which involves testing the model in various logical and visual reasoning domains. The goal of the project is to stump either one of the model by failing it to achieve Ground Truth answer.

2026 - 2026

AI Data Training

TextRLHF

Working in Action Extensions projects tarining an AI model in different streams and different tasks that mainly involves performing tasks in a mobile device uisng RLHF methods

Working in Action Extensions projects tarining an AI model in different streams and different tasks that mainly involves performing tasks in a mobile device uisng RLHF methods

2023 - 2026

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Education

Work History