Mark Bird

Key Skills

Software

Appen

Clickworker

CVAT

Labelbox

Mindrift

OneForma

Remotasks

Scale AI

Telus

V7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Classification

Evaluation/Rating

Text Generation

Freelancer Overview

PhD-trained pharmacologist with 7+ years’ experience in biological and pharmacological research, scientific writing, and data analysis. I specialise in AI/LLM quality assurance and reasoning evaluation, applying structured rubrics to assess factual accuracy, logical consistency, and mathematical validity in model outputs. My background in CRO settings and academic research brings scientific authority, regulatory precision, and communication clarity to every annotation task. Experienced in handling YMYL content domains with high attention to accuracy, ethics, and compliance. Data Labeling Experience Conducted AI reasoning evaluations across medicine, biology, and general knowledge, identifying factual, logical, and mathematical errors in generated responses. Applied and refined QA rubrics to score complex Q&A, reasoning chains, and classification tasks; ensured audit-ready consistency in outputs. Performed peer review and compliance auditing, checking guideline adherence, clarity, and cross-rater reliability. Authored and validated domain-specific prompts in biology, pharmacology, and neuroscience, ensuring verifiable ground-truth answers. Experienced in fact-checking and referencing, refining AI content with citations, structured examples, and corrected reasoning. Managed large annotation workloads under tight deadlines, delivering independent, detail-focused outputs without supervision. Key Strengths Scientific Authority: PhD Pharmacology; published author; CRO and

Labeling Experience

Peer review and Scientific Reasoning

LabelboxTextText GenerationEvaluation Rating

Led peer review and auditing tasks for large-scale AI evaluation projects. Applied and refined scoring rubrics to ensure consistent assessment of complex Q&A and reasoning outputs. Conducted guideline-based evaluations, answered clarification questions in project chats, and ensured cross-rater reliability across annotators. Provided detailed feedback on peers’ work, highlighting accuracy, clarity, and compliance issues. Drew on experience in teaching, supervision, and scientific communication to clarify rubric criteria and maintain high-quality standards. Delivered audit-ready outputs under strict deadlines, combining scientific subject-matter expertise with quality assurance precision.

Led peer review and auditing tasks for large-scale AI evaluation projects. Applied and refined scoring rubrics to ensure consistent assessment of complex Q&A and reasoning outputs. Conducted guideline-based evaluations, answered clarification questions in project chats, and ensured cross-rater reliability across annotators. Provided detailed feedback on peers’ work, highlighting accuracy, clarity, and compliance issues. Drew on experience in teaching, supervision, and scientific communication to clarify rubric criteria and maintain high-quality standards. Delivered audit-ready outputs under strict deadlines, combining scientific subject-matter expertise with quality assurance precision.

2025 - 2025

AI/LLM Quality Assurance and Prompt evaluation

Scale AITextText GenerationText Summarization

Conducted quality assurance and evaluation of AI-generated responses across biological, medical, and general knowledge domains. Applied structured rubrics to assess factual accuracy, logical consistency, and mathematical validity in outputs. Authored and validated domain-specific prompts in biology and pharmacology for supervised fine-tuning tasks. Performed peer review and compliance auditing of evaluator outputs, ensuring clarity, audit readiness, and adherence to project guidelines. Refined content with references and structured examples to improve model training quality. Experienced in handling YMYL domains with precision, ethical responsibility, and regulatory rigour.

Conducted quality assurance and evaluation of AI-generated responses across biological, medical, and general knowledge domains. Applied structured rubrics to assess factual accuracy, logical consistency, and mathematical validity in outputs. Authored and validated domain-specific prompts in biology and pharmacology for supervised fine-tuning tasks. Performed peer review and compliance auditing of evaluator outputs, ensuring clarity, audit readiness, and adherence to project guidelines. Refined content with references and structured examples to improve model training quality. Experienced in handling YMYL domains with precision, ethical responsibility, and regulatory rigour.

2024 - 2025

Education

Work History