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Ai Training Biology Jobs in Decatur, AL (NOW HIRING)

Ai Training Biology information

How to become a bio AI specialist?

To become a bio AI specialist, you typically need a strong background in biology and computer science, often through a bachelor's or master's degree in fields like bioinformatics, computational biology, or AI. Developing skills in programming languages such as Python or R, and gaining experience with machine learning frameworks and biological data analysis are essential. Certifications in AI or data science and practical experience through research projects or internships can also enhance your qualifications.

What are the typical daily responsibilities of an AI Training Biology?

As an AI Training Biology specialist, your daily tasks often involve annotating and curating biological datasets, collaborating with AI engineers to develop robust training data, and reviewing model outputs for biological relevance and accuracy. You may also participate in team meetings to discuss project goals, troubleshoot data-related issues, and suggest improvements in annotation guidelines. Interdisciplinary teamwork is common, as you will frequently interact with software developers, data scientists, and biological researchers to ensure AI models are both scientifically valid and effective for real-world applications. This variety keeps the work dynamic and facilitates continuous learning in both biology and AI.

What is an AI Training Biology?

An AI Training Biology job involves curating, annotating, and refining biological data to help train machine learning models for applications like drug discovery, genomics, and biotechnology. Professionals in this role ensure that AI systems accurately interpret biological concepts by providing high-quality datasets and domain-specific expertise. They often collaborate with data scientists, machine learning engineers, and researchers to enhance AI models' performance in biological sciences. Strong knowledge of biology, data management, and sometimes coding skills are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI Training Biology position?

To thrive as an AI Training Biology professional, you need a solid background in biological sciences, data annotation, and a familiarity with machine learning concepts, often supported by at least a bachelor's degree in biology or a related field. Experience with data processing tools, annotation platforms, and sometimes relevant certifications like bioinformatics or data science bootcamps is valuable. Strong attention to detail, effective communication, and the ability to work collaboratively in interdisciplinary teams are essential soft skills. These competencies ensure the accurate development and validation of AI models in biological research and applications.

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What cities near Decatur, AL are hiring for Ai Training Biology jobs? Cities near Decatur, AL with the most Ai Training Biology job openings:

AI Training Specialist - Life Sciences

micro1 AI

Huntsville, AL • Remote

$90 - $120/hr

Part-time

Posted 14 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.