Biology PhDs (Wet Lab Experience) AI Trainer

Weekday AI (YC W21); United Kingdom; Remote; GBP 40,000 - 60,000; Part time

Job summary

A leading AI research collaborator is seeking an AI Trainer with wet lab experience to help advance biological research applications of AI. This remote role offers competitive pay ranging from $60-$80 per hour and flexible working hours. Ideal candidates are Ph.D. students or holders in related fields with experience in research methodologies and experimental protocols.

Qualifications

• Current Ph.D. student or advanced degree holder in related discipline.
• Minimum 2 years of wet lab experience.
• Extensive familiarity with research methods and experimental protocols.

Responsibilities

• Test AI model's understanding of research failures.
• Propose strategies to mitigate biological research issues.

Skills

Wet lab experience

Research methodology

Problem-solving skills

Communication skills

Education

Ph.D. in Molecular Biology or related

Postdoctoral Fellow or Research Scientist

Job description

Biology PhDs (Wet Lab Experience) AI Trainer

This role is for one of the Weekday's clients. We are collaborating with a leading AI research lab to advance the application of AI in tackling complex scientific challenges. This project focuses on building a state-of-the-art benchmark to evaluate the capabilities of cutting-edge AI models in the field of biology.

The primary goal is to test the model's ability to understand potential failures in biological research protocols and propose strategies to mitigate these issues. Success in this role requires a strong foundation in biological research methodology and deep knowledge of failure modes in experimental workflows.

Requirements

You're an ideal candidate if you:

• Are a current Ph.D. student or hold an advanced degree (e.g., Postdoctoral Fellow, Research Scientist) in Molecular Biology, Microbiology, Bioengineering, Immunology, or a related discipline
• Have 2+ years of wet lab experience
• Possess extensive familiarity with research methods and experimental protocols
• Demonstrate exceptional attention to detail and rigorous problem-solving skills
• Excel in written and verbal communication

Role Highlights

• Workload: 10-20 hours per week, with potential to scale up to 40 hours
• Schedule: Fully remote and asynchronous — flexible working hours
• Duration: Initial 1-2 month engagement, with opportunities for extension

Compensation & Contract

• Competitive hourly compensation
• Independent contractor arrangement
• Weekly payments via Stripe Connect Compensation: $60-$80 per hour

Screening Process

• A brief 20-minute interview and form precedes selection
• Decisions are typically made within 1-2 weeks following assessment
• Currently open to applicants based in the U.S., UK, Canada, Australia, or New Zealand

We are an equal opportunities employer and welcome applications from all qualified candidates.