Research Scientist II

Intelliswift Software Inc; Seattle (WA); Remote; Part time

Job summary

A leading company is seeking an LLM Evaluation Expert specializing in Biology to assess and enhance AI-generated Biology solutions. This pivotal role requires advanced expertise in Biology, strong analytical skills, and the ability to communicate complex concepts clearly. The successful candidate will influence the development of next-generation AI Biology assistants, contributing to transformative advancements in scientific computing and data analysis.

Qualifications

• Advanced degree (Ph.D. preferred) in Biology.
• 5+ years of experience in Biology research.
• Strong analytical and decision-making skills.

Responsibilities

• Critically analyze and evaluate Biology responses generated by LLMs.
• Select appropriate Biology solutions from multiple LLM-generated options.
• Collaborate with the AI research team to improve LLM's capabilities.

Skills

Analytical skills

Decision-making

Communication

Education

Ph.D. in Biology or closely related field

Tools

Computer algebra systems

Mathematical software packages

Job description

Pay rate range - $55 / hr. to $54 / hr. on W2

100% Remote

Schedule - Only 20 hours per week, no wiggle room on this.

Must Have

Advanced degree (Ph.D. preferred) in Biology or a closely related field

Extensive experience (5+ years) in Biology research, problem-solving, or applied Biology across multiple subfields

Previous experience working with or evaluating AI systems, particularly in the context of mathematical problem-solving

Job Description :

As an LLM Evaluation Expert specializing in Biology, you will play a crucial role in assessing and improving our language models' Biology capabilities.

Your expertise will be instrumental in evaluating LLM-generated Biology solutions, making high-level judgments, and setting the standard for what constitutes excellent AI-assisted Biology problem-solving.

Key Responsibilities :

1. Critically analyze and evaluate Biology responses generated by our LLMs across various fields of Biology
2. Exercise expert judgment to select the most appropriate and efficient Biology solutions from multiple LLM-generated options
3. Make informed decisions on behalf of our customers, ensuring that selected solutions meet rigorous Biology standards, are logically sound, and address specific research or application needs
4. Develop and write Biology demonstrations to illustrate "what good looks like" in AI-generated solutions, setting benchmarks for accuracy, elegance, and insight
5. Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output of Biology concepts
6. Collaborate with the AI research team to identify areas for improvement in the LLM's reasoning and problem-solving capabilities
7. Stay abreast with the latest developments in Biology and AI to ensure our evaluations remain cutting-edge
8. Use your expertise to provide step-by-step solutions and explanations to complex problems in Biology. This includes inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking.

Required Qualifications :

1. Advanced degree (Ph.D. preferred) in Biology or a closely related field
2. Extensive experience (5+ years) in Biology research, problem-solving, or applied Biology across multiple subfields
3. Demonstrated ability to critically evaluate Biology proofs, solutions, and reasoning for correctness, efficiency, and elegance
4. Strong analytical and decision-making skills, with the ability to make complex judgments in abstract and theoretical contexts
5. Excellent written and verbal communication skills, with the ability to explain complex Biology concepts clearly
6. Experience in technical writing, particularly in creating mathematical proofs, explanations, or tutorials

Preferred Qualifications :

1. Previous experience working with or evaluating AI systems, particularly in the context of mathematical problem-solving
2. Familiarity with computer algebra systems, numerical computing environments, and mathematical software packages
3. Understanding of machine learning concepts, particularly as they apply to mathematical reasoning and problem-solving
4. Experience in creating or contributing to Biology textbooks, research papers, or educational content

This role requires a unique blend of Biology expertise, critical thinking, and communication skills. You will be the bridge between advanced AI technology and practical, real-world applications in Biology. Your work will directly influence the development of next-generation AI Biology assistants, potentially transforming fields such as scientific computing, data analysis, and Biology research.

If you're passionate about Biology, have a keen eye for elegant solutions, and are excited about the potential of AI in advancing the understanding of Biology, we encourage you to apply for this pivotal role at AGI Data Services.