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Remote Ai Prompt Writing Jobs in Alabama (NOW HIRING)

Guidewire Developer-ClaimCenter

Birmingham, AL · On-site +1

$51 - $67.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... TX, Remote-CT, Remote-GA, Remote-IL, Remote-IN, Remote-OH, Remote-PA, Remote-TX, Remote-VA ... AI Prompt/Agentic Engineering * Monitoring and logging via tools like AppDynamics and Splunk

Showing results 21-40

Remote Ai Prompt Writing information

What is the difference between Remote Ai Prompt Writing vs Remote Content Writer?

AspectRemote Ai Prompt WritingRemote Content Writer
CredentialsBasic understanding of AI, writing skillsWriting, editing, SEO knowledge
Work EnvironmentOnline, AI platforms, remoteOnline, various industries, remote
Industry UsageAI development, tech companiesMedia, marketing, publishing
Search/Comparison IntentUnderstanding AI prompt rolesContent creation, writing jobs

Remote Ai Prompt Writing focuses on creating prompts for AI models, requiring familiarity with AI tools and concise writing. Remote Content Writers produce articles, blogs, and marketing content, emphasizing SEO and storytelling. While both are remote writing roles, Ai Prompt Writers specialize in AI interactions, whereas Content Writers focus on traditional content creation.

What are common challenges faced by remote AI prompt writers, and how can they be overcome?

Remote AI prompt writers often encounter challenges such as ambiguous requirements from clients, staying up-to-date with rapidly evolving AI technologies, and maintaining effective communication within distributed teams. To overcome these, it's helpful to establish clear guidelines for prompt creation, schedule regular check-ins with team members or clients, and participate in ongoing learning through industry webinars or documentation. Leveraging collaborative tools and maintaining a feedback loop ensures prompt quality and alignment with project goals.

What is remote AI prompt writing?

Remote AI prompt writing involves creating clear and effective instructions or questions, known as 'prompts,' for artificial intelligence models, such as chatbots or language models, while working from a location outside of a traditional office. Prompt writers help guide AI systems to generate accurate, relevant, and useful responses or outputs based on user needs. This job requires strong communication skills, creativity, and an understanding of how AI models interpret and respond to language. Remote AI prompt writers often collaborate with teams online and may work for tech companies, content agencies, or as freelancers.

What skills and qualifications are needed to thrive as a remote AI prompt writer?

To thrive as a Remote AI Prompt Writer, you need strong written communication skills, creative problem-solving abilities, and a solid understanding of AI language models or natural language processing concepts. Familiarity with prompt engineering tools, AI platforms like OpenAI's GPT, and sometimes basic coding or data annotation systems is often required. Attention to detail, adaptability, and the ability to work independently are crucial soft skills in this remote role. These competencies ensure the creation of effective, clear prompts that drive accurate AI outputs and support diverse project needs.

What are the most commonly searched types of Ai Prompt Writing jobs in Alabama?

The most popular types of Ai Prompt Writing jobs in Alabama are:

What are popular job titles related to Remote Ai Prompt Writing jobs in Alabama?

For Remote Ai Prompt Writing jobs in Alabama, the most frequently searched job titles are:

What cities in Alabama are hiring for Remote Ai Prompt Writing jobs?

Cities in Alabama with the most Remote Ai Prompt Writing job openings:

AI Training Specialist - Cheminformatics

micro1 AI

Huntsville, AL • Remote

$80 - $110/hr

Part-time

Posted 12 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.