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T

Twisted Brush

AI Data Evaluator & Prompt Engineer | Talent Acquisition Specialist

USA flag
Chicago, Usa
$40.00/hrEntry LevelInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Human Resources & Talent Acquisition
Creative Arts & Design
E-Commerce & Retail

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Classification
Object Detection
Text Generation
Segmentation
RLHF
Question Answering
Text Summarization
Data Collection
Prompt Response Writing SFT
Evaluation Rating

Freelancer Overview

Talent Acquisition Specialist II with 9+ years evaluating candidates, assessing quality across complex workflows, and making high-stakes judgment calls. Experienced in research, pattern recognition, and structured decision-making — skills directly applicable to AI training, data evaluation, and quality annotation work. B.A., University of Illinois at Chicago Education includes Bachelor of Arts, University of Illinois at Chicago (2015).

Entry LevelUrduEnglish

Labeling Experience

AI Art Creation & Prompt Engineering

ImageClassification
Designed and refined text-to-image prompts using platforms such as Canva, Leonardo.ai, and similar generative AI tools to produce original artwork and commercial products for sale. Used personal oil paintings as stylistic reference points and creative anchors, iterating on prompts to guide AI outputs toward a specific aesthetic vision. Evaluated and rated generated images for quality, coherence, style alignment, and commercial viability — selecting, refining, or rejecting outputs based on defined creative criteria. Work required deep attention to visual detail, understanding of composition and style, and the ability to articulate creative intent through structured prompt language.

Designed and refined text-to-image prompts using platforms such as Canva, Leonardo.ai, and similar generative AI tools to produce original artwork and commercial products for sale. Used personal oil paintings as stylistic reference points and creative anchors, iterating on prompts to guide AI outputs toward a specific aesthetic vision. Evaluated and rated generated images for quality, coherence, style alignment, and commercial viability — selecting, refining, or rejecting outputs based on defined creative criteria. Work required deep attention to visual detail, understanding of composition and style, and the ability to articulate creative intent through structured prompt language.

2025 - Present

Annotation/Rating

DocumentClassification
Scored and ranked job candidates using structured evaluation rubrics, assigning numerical or categorical ratings based on defined criteria such as skills match, experience level, and role fit. Maintained consistent scoring standards across high volumes of applicants, calibrating judgments to reduce subjectivity and ensure fairness. This work directly mirrors AI training tasks such as response rating, preference ranking, and reinforcement learning from human feedback (RLHF), where human raters evaluate outputs against quality guidelines at scale.

Scored and ranked job candidates using structured evaluation rubrics, assigning numerical or categorical ratings based on defined criteria such as skills match, experience level, and role fit. Maintained consistent scoring standards across high volumes of applicants, calibrating judgments to reduce subjectivity and ensure fairness. This work directly mirrors AI training tasks such as response rating, preference ranking, and reinforcement learning from human feedback (RLHF), where human raters evaluate outputs against quality guidelines at scale.

2015 - 2023

Classification

DocumentClassification
Reviewed and evaluated hundreds of candidate resumes and applications against structured job criteria, classifying candidates as qualified, partially qualified, or not qualified based on defined rubrics. Applied consistent quality standards across high-volume workflows, ensuring accuracy and reducing bias in screening decisions. Work required careful reading comprehension, pattern recognition, and adherence to detailed guidelines — closely mirroring AI data labeling and classification tasks.

Reviewed and evaluated hundreds of candidate resumes and applications against structured job criteria, classifying candidates as qualified, partially qualified, or not qualified based on defined rubrics. Applied consistent quality standards across high-volume workflows, ensuring accuracy and reducing bias in screening decisions. Work required careful reading comprehension, pattern recognition, and adherence to detailed guidelines — closely mirroring AI data labeling and classification tasks.

2015 - 2023

Education

U

University of Illinois at Chicago

Bachelor of Arts, Political Science

Bachelor of Arts
2007 - 2010

Work History

M

Multidisciplinary Artist

Artist

Chicago
2010 - Present
K

Kemper Insurance

Talent Acquisition Specialist II

Chicago
2021 - 2023