Drug Discovery Scientist, AI Model Training
$40 - $125 per hourTemporary
Crucial Recruiting
Drug Discovery Scientist, AI Trainer (Remote, Flexible Hours)100% Remote | Work When You Want | Part-Time or Full-Time | Freelance Contract | $40 to $125 per hour
Fully remote. Work when you want. Get paid for what you already know. Applying takes just a few minutes with your resume.
We are partnering with DataAnnotation to find experienced drug discovery scientists to work as remote AI trainers and evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy and candidate selection. You bring the judgment you have built moving programs from target toward IND. This is project-based, 100% remote work you do from home on your own schedule, alongside a current job, including evenings and weekends.
Already have a DataAnnotation account? This opportunity runs through our partnership with DataAnnotation. If you have already taken a DataAnnotation starter assessment, you are not eligible to apply through this posting. If you created an account but never took the assessment, you can still apply.
What the Work Involves
Fully remote. Work when you want. Get paid for what you already know. Applying takes just a few minutes with your resume.
We are partnering with DataAnnotation to find experienced drug discovery scientists to work as remote AI trainers and evaluate how frontier AI models handle real discovery and preclinical work: SAR analysis, screening cascades, DMPK and PK/PD interpretation, biomarker strategy and candidate selection. You bring the judgment you have built moving programs from target toward IND. This is project-based, 100% remote work you do from home on your own schedule, alongside a current job, including evenings and weekends.
Already have a DataAnnotation account? This opportunity runs through our partnership with DataAnnotation. If you have already taken a DataAnnotation starter assessment, you are not eligible to apply through this posting. If you created an account but never took the assessment, you can still apply.
What the Work Involves
- Design realistic tasks from your own practice, such as a lead optimization decision memo, a screening triage workbook, a tox package summary or a target validation review
- Assemble the files a discovery scientist would actually use: assay result tables, SAR spreadsheets, DMPK summaries, study reports, program review decks
- Run those tasks through frontier AI agents and grade the workbook, memo or deck they produce
- Compare two model outputs on the same task and document where each fell short
- Write grading rubrics covering the right compounds advanced, liabilities flagged and calculations made
- Flag concrete failures: misread assay data, unsupported SAR conclusions, misinterpreted PK parameters, unit and scaling errors, missed safety liabilities
- Medicinal chemistry, SAR and lead optimization
- Computational chemistry and CADD
- Assay development and screening
- DMPK, PK/PD and ADME
- Preclinical safety and toxicology
- Translational and biomarker science
- Protein or antibody engineering
- Cell and gene therapy
- CMC, formulation or analytical development
- 2+ years hands-on in a discovery or preclinical setting: pharma, biotech or an academic drug discovery unit
- Degree in biology, chemistry, medicinal chemistry, pharmacology, pharmaceutical sciences, toxicology or a related field
- Familiarity with the full discovery path, from target identification through hit-to-lead, lead optimization, candidate selection and IND-enabling studies
- Working knowledge of adjacent areas, enough to judge work outside your own specialty
- Experience across more than one modality or therapeutic area is a plus
- Hands-on practitioner: you currently do, or recently did, the work yourself as an individual contributor, not solely as a manager
- Strong written English; you can explain clearly why a result is wrong, not only that it is
- Familiar with AI tools such as Claude or ChatGPT, with the judgment to tell a well-reasoned answer from a plausible-sounding wrong one
- Comfortable working independently, following detailed written instructions and incorporating feedback
- Pay: $40 to $125 per hour, depending on project and expertise. Paid via PayPal on a regular schedule. You are paid for every step you complete
- Hours: Work whenever it suits you, including evenings and weekends. Minimum 10 hours per week with no maximum; full-time hours are available. Multi-day task timers let you spread work across days
- Location: 100% remote, work from home. Must be based in the United States, Canada, or the UK
- Tools: Access to the AI models you will evaluate is provided; no personal subscription needed
- Apply here with your resume. It takes just a few minutes, and there are no interviews
- We review your background against the role
- If it's a fit, we send you a link to take DataAnnotation's skills assessment. It's unpaid, takes about 1 to 2+ hours and tests domain judgment and careful reading. The assessment must be entirely your own work; AI-assisted submissions are detected and rejected
- If you pass, you complete onboarding and a short training project, then propose and build tasks from your own professional experience, with expert review and written feedback at each stage
Vacancy posted 19 hours ago
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