Researcher

Aston Carter

. Review and evaluate AI-generated responses to life-sciences prompts for scientific accuracy, clarity, and appropriateness .

Posted 9/19/2026contractRemote • North Carolina • United StatesMid-LevelSenior💰 $75 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in evaluating AI-generated responses for scientific accuracy and clarity, with a strong foundation in drug discovery and computational biology. Proficient in writing expert-level scientific content and providing constructive feedback to enhance AI training.

Highest-signal resume keywords

PhD In Biology Or Related Field3+ Years In Drug DiscoveryExpert-Level Scientific WritingProfessional Use Of LLMsStrong Written Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Drug DiscoveryComputational BiologyBioinformaticsScientific AnnotationAI Model EvaluationResearch Task DesignData AnalysisError FlaggingGrading Rubric DevelopmentLife Sciences Expertise

Soft Skills

Independent WorkAttention To DetailReceptiveness To FeedbackClear CommunicationAdaptability

Tools & Technologies

Google WorkspaceCloud File ToolsDesktop ApplicationsFile Management

Industry Keywords

AI LandscapeLLM UseScientific AccuracyLife Sciences PromptsModel Training

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Review and evaluate AI-generated responses to life-sciences prompts for scientific accuracy, clarity, and appropriateness
Annotate and rank model outputs to guide AI training and improvement
Write expert-level answers to scientific questions as model training examples
Flag errors, misconceptions, or ambiguous outputs and provide corrective guidance
Propose, design, and build realistic research-based tasks, including scenarios, prompts, supporting input files, and detailed grading rubrics
Run tasks against AI models and iterate based on expert reviewer feedback
Follow detailed written instructions, including document and upload format requirements
Maintain consistent quality and throughput throughout the sprint engagement

Requirements

What you’ll need

Master’s or PhD (or current PhD candidate) in Biology or a directly related field
3+ years of hands-on experience in drug discovery, computational biology/bioinformatics, or experimental biology
Strong written communication skills; ability to explain complex concepts clearly and concisely
Comfortable working independently in a remote, self-directed environment
Ability to ramp quickly on unfamiliar work when provided written material or instructions
Currently or recently performing this work at a detailed, individual-contributor level, not solely in a managerial capacity
Careful reading of written instructions and receptiveness to feedback and revision cycles
Ability to orient in a company data package of 100MB to 30GB+ and build an accurate, deep working picture of it quickly, including when the science is outside the candidate’s specialization
Baseline tech literacy, including cloud file tools such as Google Workspace, browser profile management, desktop app installation, and everyday file handling
Available to commit 30–40+ hours per week for the full 12-week engagement
General understanding of LLM use and the AI landscape
Professional use of LLMs such as ChatGPT or Claude in life sciences
Judgment to distinguish well-reasoned answers from plausible-sounding but incorrect answers

Benefits

Comp & perks

Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)