Tamal Sau

Key Skills

Software

Appen

Top Subject Matter

English Language/NLP

Audio Transcription (English)

Top Data Types

Text

Video

Top Task Types

RLHF

Transcription

Freelancer Overview

RLHF Trainer and Rater (Outlier.ai, Soulhq.ai, Appen). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen. Education includes Post Graduate Certificate, IIM Visakhapatnam (2024) and Bachelor of Education, University of Burdwan (2022). AI-training focus includes data types such as Text and labeling workflows including RLHF and Transcription.

Labeling Experience

RLHF Trainer and Rater (Outlier.ai, Soulhq.ai, Appen)

AppenTextRLHF

Participated in RLHF (Reinforcement Learning from Human Feedback) training projects to improve large language models’ outputs using platforms such as Outlier.ai and Soulhq.ai. Provided evaluative feedback and ratings on machine-generated text to enhance model performance and align outputs with human intent. Completed multiple annotation tasks requiring nuanced understanding of context, accuracy, and sentiment in English language data. • Executed feedback evaluation tasks to improve model relevance • Used Outlier.ai and Soulhq.ai for RLHF processes • Focused on English text generation and rating • Applied advanced comprehension in assessment of outputs

Participated in RLHF (Reinforcement Learning from Human Feedback) training projects to improve large language models’ outputs using platforms such as Outlier.ai and Soulhq.ai. Provided evaluative feedback and ratings on machine-generated text to enhance model performance and align outputs with human intent. Completed multiple annotation tasks requiring nuanced understanding of context, accuracy, and sentiment in English language data. • Executed feedback evaluation tasks to improve model relevance • Used Outlier.ai and Soulhq.ai for RLHF processes • Focused on English text generation and rating • Applied advanced comprehension in assessment of outputs

2023 - Present

Data Transcriber (Appen)

AppenTextTranscription

Worked on audio transcription projects using Appen for English language data, accurately converting spoken content into written form. Ensured high accuracy of text outputs, adhering to specified guidelines and formatting requirements for AI model training. Demonstrated attention to detail in transcribing diverse accents, speech patterns, and subject context. • Conducted transcription using Appen platform • Focused on English audio files for linguistic projects • Delivered annotated and curated datasets for NLP training • Managed multiple transcription tasks with consistent quality

Worked on audio transcription projects using Appen for English language data, accurately converting spoken content into written form. Ensured high accuracy of text outputs, adhering to specified guidelines and formatting requirements for AI model training. Demonstrated attention to detail in transcribing diverse accents, speech patterns, and subject context. • Conducted transcription using Appen platform • Focused on English audio files for linguistic projects • Delivered annotated and curated datasets for NLP training • Managed multiple transcription tasks with consistent quality

2022 - Present

Education

Work History