Nelison M.

Key Skills

Software

Other

Don't disclose

Top Subject Matter

Biochemistry and science (academic/technical writing)

Biochemistry and immunology (scientific paper evaluation)

Biochemistry and immunology (scientific content)

Top Data Types

Document

Image

Top Task Types

Entity (NER) Classification

Freelancer Overview

AI Data Annotator & Evaluation Contributor — Outlier AI. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Don't disclose. Education includes Doctor of Philosophy, University of Otago (2025) and Master of Science, University of Otago (2023). AI-training focus includes data types such as Document and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

Annotator for AI Evaluation Specialist & Domain Expert Products — Handshake AI

Don't discloseDocument

Evaluated and approved AI-generated scientific papers for content and technical accuracy as a domain expert. Assessed model outputs for inaccuracies, vagueness, and missing information that non-technical reviewers might overlook. Produced clear structured feedback and written annotation rationales as part of evaluation workflows. • Reviewed AI science content for correctness, completeness, and domain validity • Wrote organized justifications for evaluation and annotation decisions • Supported analysis using scientific figures and data visualization elements (e.g., spectra and microscopy outputs) • Collaborated on prompt optimization and reliability initiatives with human-in-the-loop evaluation

2025 - Present

AI Data Annotator & Evaluation Contributor — Outlier AI

OtherDocument

Completed high-level scientific annotation and content labeling for AI training datasets in biochemistry and science domains. Critically assessed AI model responses for scientific correctness, logical reasoning, and domain-appropriate accuracy. Built and tested evaluation rubrics to support structured grading of AI-generated academic and technical writing. • Designed human-in-the-loop evaluation tasks with attention to detail and technical precision • Evaluated responses against domain knowledge to identify correctness and reasoning gaps • Constructed grading rubrics for structured assessment of academic/technical outputs • Contributed to validation of AI training inputs for the biochemistry/science domain

2024 - Present

AI Content Evaluator & Data Annotator — Scale AI

OtherDocumentEntity (NER) Classification

Completed large-scale scientific content annotation and data labeling to support AI model training pipelines. Compared and checked AI-generated scientific content against biochemistry and immunology standards to ensure validity and accuracy. Helped train AI models by delivering structured feedback, including error detection and validation signals. • Ensured consistency and reliability of annotations across technical team workflows • Identified discrepancies between AI outputs and domain reference standards • Provided structured feedback to support model learning and correction • Participated in accuracy checks to improve evaluation reliability

2023 - 2024

AI Evaluation & Annotation Contributor — IBM

OtherDocumentEntity (NER) Classification

Developed and managed scientific domain knowledge used in NLP and machine learning evaluation projects for life sciences. Evaluated and corrected AI-generated life-science content for scientific correctness, completeness, and accuracy. Produced detailed written feedback and annotation documentation to support AI training and evaluation. • Performed validation checks on AI outputs against life-science domain expectations • Corrected omissions and inaccuracies in AI-generated content • Enabled model validation and performance improvement using structured analytics workflows • Authored comprehensive annotation and feedback records for evaluation programs

2022 - 2023

Education

Work History