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Computational Biology Expert - AI trainer
micro1 —United States
- $20 - $60 an hour
- Contract
- Remote
- No experience needed
- Analysis skills
- Doctor of Philosophy
- Flexible schedule

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Computational Biology Expert - AI trainer
micro1 —United States
Experience reviewing scientific content, developing technical assessments, or contributing to AI model evaluation projects. Pay: $20.00 - $60.00 per hour.
$20 - $60 an hour

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Computational Biology Expert - AI trainer
micro1 —United States
Experience reviewing scientific content, developing technical assessments, or contributing to AI model evaluation projects.
$20 - $60 an hour

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Computational Biology Expert - AI trainer

micro1 -
United States

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Job Details

Contract
$20 - $60 an hour

Benefits

Flexible schedule

Qualifications

Computational research
Teamwork
Live event audio projects
Attention to detail
Bioinformatics data analysis
Statistical analysis tools
Time management

Full Job Description

Job Title

Computational Biology Expert – AI Trainer

Job Type

Contract

Compensation Structure

Hourly contract position. Compensation is paid based on hours worked and approved project time.

Location

Remote

Job Summary

In this role as a Computational Biology Expert supporting AI Training and evaluation initiatives, you will apply your expertise in computational biology, bioinformatics, genomics, and biological data analysis to help improve next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world scientific knowledge and advanced biological problem-solving.

This is an hourly-paid contract opportunity, not a traditional laboratory, research, or biotech position. Contributors will work on project-based AI training and evaluation tasks while collaborating remotely with distributed teams in a flexible work environment. No prior experience in AI is required — your biology expertise is what matters.

Key Responsibilities

Leverage your computational biology expertise to support AI training, benchmarking, and evaluation initiatives in real-world biological applications.
Evaluate, review, and provide feedback on AI-generated outputs across genomics, transcriptomics, bioinformatics, systems biology, and related domains.
Contribute to AI training and evaluation projects through scientific reasoning tasks, technical assessments, annotation workflows, and benchmarking activities.
Assess the accuracy, relevance, and scientific validity of biological analyses, computational workflows, and model outputs.
Apply advanced analytical reasoning to review biological pipelines and identify opportunities for improvement and optimization.
Collaborate with interdisciplinary teams to improve AI model performance using domain-specific biological knowledge.
Document findings, scientific rationale, and recommendations clearly and accurately.
Stay current with emerging developments in computational biology, bioinformatics, genomics, and AI applications in life sciences.

Required Skills and Qualifications

PhD in Biology, Computational Biology, Bioinformatics, Genomics, Systems Biology, or a closely related field, or equivalent industry/research experience demonstrating advanced expertise.
Proven experience conducting data-driven biological research and computational analysis.
Proficiency with scripting and scientific computing tools such as Python, R, Bash, or similar technologies.
Experience with bioinformatics tools and workflows such as BWA, GATK, STAR, Salmon, Seurat, Scanpy, or comparable platforms.
Deep understanding of genomics, transcriptomics, structural biology, systems biology, computational biology, or related disciplines.
Strong scientific reasoning, analytical thinking, and problem-solving abilities.
Excellent written and verbal communication skills, with the ability to explain complex biological concepts clearly and effectively.
Ability to work independently in a remote, collaborative environment while maintaining high-quality standards.

Preferred Qualifications

Experience applying AI, machine learning, large language models (LLMs), or data-driven methodologies within biological research or biotechnology environments.
Hands-on experience with NGS pipelines, CRISPR workflows, AlphaFold, PyMOL, single-cell analysis, or related computational biology technologies.
Published research, patents, conference presentations, or significant contributions to open-source bioinformatics or computational biology projects.
Experience reviewing scientific content, developing technical assessments, or contributing to AI model evaluation projects.
Familiarity with AI training-related workflows, scientific benchmarking methodologies, and biological data annotation is a plus.

Job Type: Contract

Pay: $20.00 - $60.00 per hour

Benefits:

Flexible schedule

Work Location: Remote

Apply Now

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Computational Biology Expert - AI trainer

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