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Biochemistry Expert for AI Model Training

$60 - $80 per hour

SaidGig

Role Overview

Apply your biochemistry expertise to help train and improve next-generation AI systems for life sciences applications. You will provide high-quality, real-world scientific input that helps models learn, reason, and perform. Prior AI experience is not required.

Key Responsibilities

  • Review complex biochemical datasets, research findings, and protocols, providing accurate expert annotation and validation.
  • Create and refine biochemistry content, use cases, and scenarios based on current practices for AI training.
  • Evaluate the scientific validity and clarity of biochemistry prompts, model-generated responses, and informational resources.
  • Work with technical teams to turn domain insights into actionable feedback that improves AI systems.
  • Identify knowledge gaps, ambiguities, and edge cases in biochemical content to strengthen model robustness.
  • Communicate complex concepts clearly in writing and verbally to support AI training.
  • Take part in iterative review cycles to maintain the accuracy and relevance of biochemistry inputs.

Qualifications

  • Biochemistry expertise.
  • Advanced degree, such as a master''s, PhD, or equivalent experience, in biochemistry, molecular biology, or a related field.
  • Demonstrated knowledge of biochemical mechanisms, laboratory methods, and current scientific literature.
  • Strong analytical and critical-thinking skills for data interpretation and problem solving.
  • Exceptional written and verbal communication skills, with close attention to clarity and detail.
  • Experience contributing to scientific publications, peer review, or educational content is preferred.
  • Experience with interdisciplinary collaboration, ideally in research, biotechnology, or health science projects, is preferred.
  • Interest in technology and openness to applying domain knowledge in innovative AI contexts.

Work Terms

  • Remote contract engagement.

Compensation

  • $60 to $80 per hour.
Vacancy posted a month ago
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