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J

Jackson J.

Medical AI Data Annotator & Evaluator — Freelance (Multiple Platforms)

USA flagDowners Grove, Usa

Key Skills

Software

Other

Top Subject Matter

Medical/clinical knowledge and healthcare response evaluation
Multispecialty clinical reasoning and evidence-based guideline evaluation
Medical content research and structured

Top Data Types

DocumentDocument

Top Task Types

RLHFRLHF
Text GenerationText Generation

Freelancer Overview

Medical AI Data Annotator & Evaluator — Freelance (Multiple Platforms). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, N, and A. Education includes Doctor of Medicine, Midwestern University College of Medicine (2022). AI-training focus includes data types such as Medical, DICOM, and Document and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Clinical Rotation Student — Midwestern University Affiliated Hospitals

Supported clinical reasoning assessment by reviewing and evaluating inpatient and outpatient cases across multiple medical specialties during clinical rotations. Observed, documented, and assessed clinical findings and evidence-based treatment protocols to strengthen the ability to judge reasoning quality and appropriateness. Although not a separate labeling role, these activities provided direct practice evaluating structured medical information relevant to AI evaluation. • Assessed inpatient cases and reviewed differential diagnoses • Participated in rounds and refined evaluation of clinical documentation accuracy • Reviewed pediatric presentations using age-specific clinical guidelines • Conducted structured mental status examinations and reviewed evidence-based psychiatry protocols

2024 - Present

Medical AI Data Annotator & Evaluator — Freelance (Multiple Platforms)

OtherRLHFRLHF

Evaluated and ranked AI-generated medical responses for accuracy, completeness, and clinical appropriateness as part of RLHF feedback pipelines. Conducted medical fact-checking against peer-reviewed sources and official clinical guidelines to validate response quality. Produced structured written preference and quality feedback to support model fine-tuning in medical domains. • Reviewed large language model medical responses for factual and clinical alignment • Checked information against PubMed, UpTo-Date, and official guidelines • Annotated clinical case studies and diagnostic reasoning/treatment pathway summaries for training datasets • Delivered preference ratings and detailed written feedback under tight review cycles

2024 - Present

Medical Content Researcher — Self-directed/Freelance

DocumentDocumentText GenerationText Generation

Researched and wrote long-form health articles using multiple public medical sources with a consistent fact-checking methodology. Cross-referenced drug interactions, treatment protocols, and diagnostic criteria across authoritative databases to ensure medical accuracy. Created structured, well-sourced medical content suitable for training and annotation-adjacent knowledge preparation. • Verified health article claims against multiple medical references • Cross-referenced diagnostic criteria and treatment protocols across databases • Built a repeatable fact-checking approach for multi-domain medical topics • Produced structured written medical content under time constraints

2023 - 2024

Education

M

Midwestern University College of Medicine

Doctor of Medicine, Medicine

Doctor of Medicine
2022

Work History

M

Midwestern University Affiliated Hospitals

Clinical Rotation Student

Downers Grove
2024 - Present
M

Midwestern University

Medical Student (Clinical Rotations)

N/A
2022 - Present