Drug Discovery Specialist - Freelance AI Trainer Project

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

$8-$8/hr From the posting source checked Jun 20, 2026

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$55,390 U.S. median for this role

Projected growth (BLS Employment Projections)

-0.1% - Decline

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 25-2021 - Teaching and Education aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Teaching Education From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Drug Discovery Specialist - Freelance AI Trainer Project Philippines Are you a drug discovery expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline lab work for scientists everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for drug discovery specialists who live and breathe medicinal chemistry, pharmacology, high-throughput screening, target validation, ADMET profiling, lead optimization, molecular modeling, structure-based drug design, and translational research. You'll challenge advanced language models on topics like ligand-receptor interactions, pharmacokinetics and pharmacodynamics, in silico docking studies, assay development, chemical libraries, biomarker identification, and preclinical candidate evaluation-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on compound screening strategies and theoretical drug design questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in pharmaceutical sciences, chemistry, pharmacology, or a closely related life‑science field is ideal; peer‑reviewed publications, lab-based discovery research, or applied computational chemistry projects signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your drug discovery expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8‑to‑$65 per hour, with the exact

Read the full description at job-boards.eu.greenhouse.io. FewerJobs shows a preview and links to the original posting.