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Entry Level Ai Writing Tester Jobs in Iowa (NOW HIRING)

Varsity Tutors

Technical Writing Tutor

Ames, IA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using real-world document projects, peer usability testing, and style guide ...

Varsity Tutors

Technical Writing Tutor

Iowa City, IA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using real-world document projects, peer usability testing, and style guide ...

RFA Engineering

Entry Level Software Engineer

Dubuque, IA · On-site

$65K - $90K/yr

Testing methods include bench testing with controllers, extensive vehicle simulation testing, and ... Strong verbal and written communication skills. * Ability to thrive in a team environment * Self ...

RFA Engineering

Entry Level Software Engineer

Dubuque, IA · On-site

$65K - $90K/yr

Testing methods include bench testing with controllers, extensive vehicle simulation testing, and ... Strong verbal and written communication skills. * Ability to thrive in a team environment * Self ...

City of Mason City

Police Officer

Mason City, IA

$71K - $95K/yr

For Entry Level Officers: Pass the written POST test and ILEA required physical fitness test. For ... Physical & Written Testing: If you're a non-certified officer, you'll take both a physical agility ...

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Entry Level Ai Writing Tester information

What is the difference between Entry Level Ai Writing Tester vs Content Writer?

AspectEntry Level Ai Writing TesterContent Writer
Required CredentialsBasic writing skills, familiarity with AI toolsWriting portfolio, sometimes a degree in English or Communications
Work EnvironmentTech companies, AI startups, remote or office-basedMedia, marketing agencies, freelance or in-house roles
Employer & Industry UsagePrimarily in AI and tech industriesBroad across media, marketing, publishing

Entry Level Ai Writing Testers focus on evaluating AI-generated content and ensuring quality using specific tools, often in tech environments. Content Writers create original content for various platforms, emphasizing storytelling and audience engagement. While both roles require strong writing skills, Ai Testing is more technical and tool-oriented, whereas Content Writing is more creative and diverse in scope.

How do I become an entry level AI writing tester?

To become an entry level AI writing tester, you should have strong writing skills, basic understanding of AI and machine learning concepts, and familiarity with testing tools or platforms. Gaining experience through online courses, certifications, or internships can improve your chances, and attention to detail is essential for evaluating AI-generated content.
Entry Level Ai Writing Tester jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

Davenport, IA • Remote

$80 - $110/hr

Part-time

Posted 18 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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