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Faryal Shafqat

Faryal Shafqat

Psychology and General AI Domain Expert (RLHF Contributor, AI Data Annotation)

USA flagBrookfield, Usa
$35.00/hrEntry LevelMercorMicro1

Key Skills

Software

MercorMercor
Micro1

Top Subject Matter

Behavioral Science and Mental Health AI
Clinical Psychology
Healthcare Technology and AI

Top Data Types

TextText
AudioAudio
VideoVideo

Top Task Types

RLHFRLHF
Bounding BoxBounding Box
Object DetectionObject Detection
Text GenerationText Generation
Question AnsweringQuestion Answering
Text SummarizationText Summarization
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
ClassificationClassification

Freelancer Overview

AI Domain Expert (RLHF Contributor, AI Data Annotation). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mercor. Education includes Master of Science, University of the Punjab (2023) and Bachelor of Science, University of the Punjab (2021). AI-training focus includes data types such as Text and labeling workflows including RLHF.

Entry LevelEnglishUrdu

Labeling Experience

Mercor

AI Domain Expert (RLHF Contributor, AI Data Annotation)

MercorTextRLHF
As an AI domain expert, I provide Reinforcement Learning from Human Feedback (RLHF) for AI systems related to behavioral science and mental health. I evaluate the accuracy and safety of AI outputs, reviewing prompts and psychological content for clinical sensitivity. My work involves rating, reviewing, and annotating text-based data used to tune and improve large language models for mental health applications. • Evaluated language model responses for diagnostic appropriateness and ethical standards. • Reviewed and annotated large volumes of conversational and clinical prompt data. • Provided domain-specific feedback for the development of safer, more reliable mental health AI. • Utilized platforms such as Outlier AI, Alignerr, Mercor, Prolific, Micro1, and HandshakeAI for RLHF tasks.

As an AI domain expert, I provide Reinforcement Learning from Human Feedback (RLHF) for AI systems related to behavioral science and mental health. I evaluate the accuracy and safety of AI outputs, reviewing prompts and psychological content for clinical sensitivity. My work involves rating, reviewing, and annotating text-based data used to tune and improve large language models for mental health applications. • Evaluated language model responses for diagnostic appropriateness and ethical standards. • Reviewed and annotated large volumes of conversational and clinical prompt data. • Provided domain-specific feedback for the development of safer, more reliable mental health AI. • Utilized platforms such as Outlier AI, Alignerr, Mercor, Prolific, Micro1, and HandshakeAI for RLHF tasks.

2021 - Present

Education

U

University of the Punjab

Master of Science, Clinical Psychology

Master of Science
2021 - 2023
U

University of the Punjab

Bachelor of Science, Applied Psychology

Bachelor of Science
2017 - 2021

Work History

U

University of the Punjab

Clinical Psychologist

Lahore
2021 - 2023
T

The Children's Hospital

Clinical Psychologist Trainee

Lahore
2022 - 2022