I will audit your AI model's answers in pharmacy and life sciences
Paras
Data annotation & AI training data
About this service
What Paras needs from you to start
To start the evaluation sprint, please provide: Project Objective & Task Type: (e.g., RLHF evaluation, CoT reasoning verification, adversarial red-teaming, or domain test-suite generation). Evaluation Guidelines & Rubrics: Your grading criteria, severity thresholds (critical, major, minor), attribution standards, and edge-case definitions. Input Data / Target Prompts: The raw prompts, model response pairs, or technical source files (CSV, JSONL, Google Sheets, or PDF). Specific Scientific/Technical Focus: Any particular domains required (e.g., pharmacokinetics, dissolution modeling, analytical spectra, chemical safety, or medical literature fact-checking). Output Format Preference: Your preferred delivery schema (structured JSON, annotated spreadsheet, or markdown report).
Compare packages
| Package | $70 Essential | $200 Standard | $450 Premium |
|---|---|---|---|
| Included |
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| Delivery | 2 days | 4 days | 5 days |
| Revisions | 1 | 2 | 3 |
FAQ
Which file formats and evaluation environments do you accept? +
I accept datasets in CSV, JSON, JSONL, XLSX, Google Sheets, or PDF. I can also perform live evaluations directly inside your proprietary annotation interface, Label Studio, or custom evaluation portal if guest/evaluator access is provided.
What specific pharmaceutical and life sciences subfields do you cover? +
My core domain coverage includes novel drug delivery systems (NDDS, niosomes, liposomes), pharmacokinetics and release kinetics, analytical chemistry data (HPLC, UV-Vis spectra, dissolution profiles), in-silico toxicology (LD50, organ toxicity), and OTC/prescription regulatory standards.
How do you identify and categorize scientific hallucinations? +
I evaluate responses using multi-tier severity classifications: Critical: Factually hazardous medical claims, inverted therapeutic dosing, or invalid chemical safety profiles. Major: Mathematically broken release equations, kinetic boundary violations, or misattributed analytical peaks. Minor: Slight nomenclature discrepancies or formatting deviations that do not alter the underlying scientific validity.
Can you deliver step-by-step Chain-of-Thought (CoT) reasoning data? +
Yes. I formulate and audit explicit step-by-step derivation paths, mathematical formulas, and empirical literature citations to ensure every reasoning link can be evaluated independently by your fine-tuning pipeline.
About the seller
Paras ✓ Reviewed talent
View full profile →- Member since
- Nov 2026
- Services
- 1
M.Pharm academic, published researcher, and registered pharmacist specializing in life sciences AI evaluation, CoT reasoning verification, and adversarial red-teaming. I audit chemical safety, drug kinetics, and complex multimodal data against empirical lab benchmarks to eliminate technical hallucinations.
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