ADC and Bispecific Antibody R&D Data Annotation Expert
Use your preclinical ADC or bispecific antibody expertise to annotate scientific data, evaluate AI outputs, and shape drug discovery models. This ongoing remote contract pays $60 to $100 per hour.
Medical & Health
100% Remote Hourly · $60–$100/hr
$60–$100/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Aug 28, 2026
Posted
Open worldwide
Interested in this role?
Create a free OpenTrain account and apply in minutes.
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is recruiting contractors for specialized projects where expert knowledge helps improve the quality of datasets and AI systems.
Creating an OpenTrain account is free, and qualified contributors can build a profile and apply in minutes.
Remote work available worldwide
Ongoing, part-time contractor engagement
Work directly through OpenTrain AI
About AI Training in Drug Discovery
AI training is the human side of building artificial intelligence. Experts review source material, classify information, evaluate model outputs, and provide feedback that helps advanced systems learn how to support real-world scientific work.
In this project, your preclinical drug development experience will help shape datasets and quality standards for AI models focused on chemistry and drug discovery.
Contribute to cutting-edge AI development
Apply practical scientific judgment to model training
Flexible remote work that can fit around other commitments
The Role
OpenTrain is seeking a Preclinical R&D Expert with direct experience in ADC and/or bispecific or multispecific antibody programs. You will review and annotate technical materials, real-world R&D data, and model outputs while advising on scientific decisions and trade-offs.
This is an ongoing, part-time engagement for an experienced industry researcher. The role description calls for roughly 10 hours per week, while the listed time requirement is 20+ hours per week; discuss your availability during the application process.
Pay: $60 to $100 per hour
Engagement: Contractor and part time
Work arrangement: Remote and worldwide
Working language: English
What You'll Do
You will bring hands-on, non-administrative preclinical R&D judgment to scientific data annotation and AI evaluation. The work combines structured labeling with expert discussions about how drug programs are designed, optimized, and advanced.
Review technical materials and real-world R&D data across ADC and/or bispecific programs
Label, classify, and annotate scientific data and model outputs
Assess target and modality selection, optimization decisions, trade-offs, and risks
Provide expert perspective on important scientific and development decisions
Help define structure and quality standards for the dataset pipeline
Participate in expert discussions, interviews, and research engagements
Required Experience
This role requires substantial industry experience in a core preclinical R&D function. Candidates should have worked at a company that develops its own drug assets and has taken programs to the clinic, rather than working only in an administrative or service capacity.
5+ years of relevant industry R&D experience
Hands-on experience with ADC and/or bispecific or multispecific antibody programs
Experience taking drug programs from the bench to the clinic
Core-function experience in discovery biology, medicinal chemistry, protein or antibody engineering, computational R&D, in vivo or translational research, pharmacology or PK-PD, toxicology, or CMC/formulation
Ability to label, classify, and annotate scientific data for AI training
Comfort providing expert perspective on scientific decisions and trade-offs
Preferred and Helpful Background
Experience taking a program through lead optimization or IND-enabling and preclinical development is preferred. Background at a mid-sized, emerging, or resource-constrained biotechnology company is also preferred, ideally outside the top 20 pharmaceutical companies.
Previous data annotation or AI training experience is helpful but not required.
Lead optimization experience
IND-enabling or preclinical development experience
Emerging or mid-sized biotech experience
Experience working with limited resources and making development trade-offs
Prior scientific data annotation or AI training experience is a plus
Who Should Not Apply
This opportunity is designed for hands-on preclinical R&D professionals working directly on proprietary drug programs. It is not intended for candidates whose experience is limited to the areas below.
Mainly CRO or CDMO services
Academic-only research
QC or analytical-only work
Clinical-development-only work
Diagnostics
Regulatory or medical writing
How to Apply Through OpenTrain
Create a free OpenTrain account, build your profile around your ADC, bispecific antibody, and preclinical R&D experience, and apply to the engagement in minutes. Highlight the programs, core R&D functions, and development stages you have supported.
OpenTrain helps people start and grow careers in AI training and data labeling, including specialist work where deep scientific expertise is essential.
Use computational biology and medicinal chemistry expertise to annotate biological datasets, evaluate scientific content, and improve next-generation AI systems. This remote contractor role offers 20+ hours per week at $90-$120 per hour.
Use your radiology expertise to annotate diagnostic DICOM images for a structured medical dataset. This remote, flexible project pays $150 per hour for 5–15 hours weekly over 1–2 months.
Use your preclinical drug discovery expertise to evaluate scientific data and AI model outputs shaping the future of pharmaceutical development. This worldwide, part-time contract offers $60-$100 per hour.