We are sharing a specialised consulting opportunity for experienced Microbiologists with strong expertise in microbiology, bacterial and fungal systems, microbial physiology, medical microbiology, scientific documentation, and data-quality evaluation to contribute to an advanced AI training and biological-science evaluation project.
Selected professionals will analyse microbial systems, review microbiology-related scientific content, assess relationships between microorganisms and disease, evaluate antimicrobial effects, and provide structured scientific input supporting next-generation AI systems. The work requires strong subject-matter knowledge, careful scientific reasoning, and clear written and verbal communication. No prior experience in AI is required.
Key Responsibilities
Microbial Biology & Physiology
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Analyse the development, morphology, and behaviour of microscopic organisms
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Evaluate bacterial, fungal, and algal systems
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Interpret microbial structure and physiological processes
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Identify scientifically inaccurate or incomplete explanations
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Apply sound biological reasoning across microbiology-related scenarios
Bacterial & Fungal Systems
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Review scientific content involving bacterial and fungal organisms
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Analyse differences in structure, function, and behaviour across microbial groups
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Evaluate microbial growth, adaptation, and environmental interactions
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Assess the plausibility of described microbial responses
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Provide technically grounded feedback on microbial processes
Medical Microbiology
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Analyse relationships between microorganisms and disease
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Evaluate microbiological concepts relevant to human health
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Review pathogen-related scenarios for scientific accuracy
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Distinguish appropriate biological interpretations from unsupported conclusions
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Contribute domain expertise to medically relevant microbiology tasks
Antimicrobial Effects
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Assess the impact of antibiotics and other agents on microbial populations
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Evaluate microbial response and susceptibility concepts
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Review explanations involving antimicrobial mechanisms
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Identify oversimplified or inaccurate conclusions
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Support scientifically robust interpretation of microbiological effects
Scientific Data & Quality Evaluation
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Review microbiology-related data and scientific content
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Apply rubrics and defined evaluation criteria consistently
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Identify factual, logical, or interpretive issues
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Support quality assurance across training datasets
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Provide structured feedback to improve scientific accuracy
AI Training & Annotation Support
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Evaluate AI-generated microbiology content
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Identify scientific errors, unsupported claims, or missing context
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Annotate biological data according to project requirements
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Contribute expert knowledge to AI-training workflows
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Support development of reliable microbiology evaluation materials
Scientific Documentation
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Document findings and scientific reasoning clearly
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Prepare concise written explanations of microbiological concepts
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Maintain strong standards of technical accuracy
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Translate complex information for interdisciplinary audiences
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Support reproducibility and knowledge transfer through clear documentation
Remote Collaboration
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Collaborate with interdisciplinary project teams
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Communicate scientific findings in written and verbal formats
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Contribute feedback to evolving project workflows
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Work independently in a remote, digital-first environment
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Maintain reliable communication and attention to project requirements
Ideal Profile
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Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related discipline
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Strong knowledge of microbiology
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Extensive understanding of bacterial systems
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Strong familiarity with fungal biology
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Knowledge of algal systems is valuable
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Demonstrated understanding of microbial structure and physiology
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Familiarity with medical microbiology and microorganism–disease relationships
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Ability to evaluate antimicrobial effects and related scientific concepts
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Strong attention to detail
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Excellent written and verbal communication skills
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Ability to document scientific processes and findings clearly
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Comfortable working independently in a fully remote environment
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Strong commitment to scientific accuracy and data quality
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Prior experience developing or applying scientific or educational rubrics is advantageous
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Experience with biological annotation, AI, or machine-learning projects is beneficial but not required
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Master's or PhD in a relevant field is advantageous
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No prior AI-training or model-evaluation experience is required
Engagement Details
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Independent contractor engagement
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Fully remote
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Compensation: $70–$90/hour
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Work will involve microbiology, bacterial and fungal systems, microbial physiology, medical microbiology, antimicrobial effects, scientific documentation, data annotation, and AI-generated content evaluation
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Strong microbiology expertise and scientific judgement are central to this engagement
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Assignments may involve biological datasets, microbial scenarios, scientific explanations, annotation tasks, and rubric-based quality review
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Project scope, workload, microbiology topics, and evaluation standards may evolve depending on project requirements
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Work must be completed without using confidential, proprietary, or identifiable information belonging to any employer, client, laboratory, healthcare organisation, research institution, collaborator, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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