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Biostatistician - AI Trainer - Job Opportunity at DataAnnotation

Richmond, USA
Full-time, Part-time
Mid-level
Posted: April 18, 2025
Remote
USD 40.00 per hour

Benefits

Remote work flexibility with complete location independence
Project selection autonomy enhancing work satisfaction
Performance-based bonus structure for quality and volume
Flexible scheduling allowing work-life balance
Independent contractor status with simplified PayPal payments

Key Responsibilities

Design and implement complex biological test cases for AI model evaluation
Conduct systematic quality assessment of AI model outputs in biology domain
Validate AI reasoning and problem-solving capabilities in biological contexts
Guide AI model improvement through expert biological knowledge application
Ensure scientific accuracy and depth in AI responses to biology problems

Requirements

Education

Masters/PhD preferred but not required

Required Skills

Biology expertise Inductive/deductive reasoning Experimental design Data interpretation Systems-level thinking Native or bilingual English proficiency Detail-oriented mindset
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Sauge AI Market Intelligence

Industry Trends

The convergence of AI and biological sciences is creating unprecedented demand for domain experts who can validate and train AI systems. The rise of large language models in scientific domains has opened new opportunities for biostatisticians to transition into AI quality assurance roles. There is growing emphasis on ensuring AI models maintain scientific accuracy and rigor in specialized fields, particularly in biology and healthcare.

Salary Evaluation

USD 83,200-120,000 annually (based on 40-hour work week), competitive for remote biostatistician roles with AI focus

Role Significance

Likely part of a distributed team of 5-10 domain experts working alongside AI developers
Mid to senior level position requiring deep domain expertise and independent judgment

Key Projects

AI model validation for biological accuracy and reasoning Development of complex test cases for model evaluation Quality assurance framework development for biology-focused AI systems Performance metrics development and implementation

Success Factors

Deep understanding of biological concepts and ability to identify subtle errors in AI reasoning Strong analytical skills to evaluate AI model performance and identify improvement areas Excellent communication skills to articulate scientific concepts clearly Ability to work independently and manage multiple projects effectively Adaptability to evolving AI capabilities and requirements

Market Demand

High and increasing, driven by rapid AI adoption in life sciences and growing need for domain expert validation

Important Skills

Critical Skills

Deep biological knowledge for accurate model validation Analytical thinking for systematic evaluation Clear communication for detailed feedback Understanding of AI limitations and capabilities

Beneficial Skills

Experience with machine learning concepts Project management skills Quality assurance methodologies Scientific writing abilities

Unique Aspects

Rare combination of biological expertise with AI validation requirements
Flexible work arrangement with project selection autonomy
Performance-based compensation structure unusual in traditional biostatistician roles
Direct involvement in advancing AI capabilities in biological sciences

Career Growth

1-2 years for advancement to senior roles, 2-3 years for leadership positions

Potential Next Roles

AI Biology Domain Lead Scientific AI Validation Manager AI Training Program Director Senior AI Quality Assurance Specialist

Company Overview

DataAnnotation

DataAnnotation appears to be a specialized AI training and validation company focusing on scientific domains

Emerging player in the AI training and validation space with focus on specialized scientific domains
Remote-first company with likely national or international scope
Flexible, results-oriented environment with emphasis on expertise and quality
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