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Freelance Science Writer Jobs in Oregon (NOW HIRING)

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Freelance Science Writer information

See Oregon salary details

$7

$24

$34

How much do freelance science writer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for freelance science writer in Oregon is $24.61, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $27.69 per hour, depending on experience, location, and employer.

What does a freelance science writer do?

A freelance science writer writes scientific content. Your duties are to research topics, write appropriate material, proofread and edit, check for accuracy, and then submit to a platform. You create content for all levels of understanding and work to explain complex issues in a relatable way. In some situations, you need to have your writing peer-reviewed before publishing. Freelance science writers can write articles for magazines, newspapers, journals, blogs, websites, and even their own books. You can write first and then search for a publisher or find a job looking to contract an independent writer for the job.

What does a freelance science writer do?

A freelance science writer researches, writes, and edits content about scientific topics for various clients, including magazines, websites, academic institutions, and businesses. Their work may involve translating complex scientific information into clear, engaging articles, blog posts, press releases, or technical documents for a general audience. Freelance science writers often pitch story ideas, conduct interviews with experts, and work on a project-by-project basis, allowing for flexibility and a diverse range of assignments.

What are the key skills and qualifications needed to thrive as a freelance science writer, and why are they important?

To thrive as a Freelance Science Writer, you need a solid background in science or journalism, excellent research abilities, and strong writing skills, often supported by a relevant degree or writing portfolio. Familiarity with citation management tools, publication platforms, and content management systems is typically required. Outstanding communication, adaptability, and the ability to translate complex scientific concepts for diverse audiences are crucial soft skills. These skills ensure accurate, engaging content that meets client needs and builds credibility in the competitive science communication field.

What are some common challenges freelance science writers face when working with multiple clients?

Freelance science writers often juggle projects for different clients with varying editorial styles, deadlines, and subject matter expertise requirements. Managing time effectively and adapting writing tone and complexity for distinct audiences can be challenging, especially when switching between academic, industry, and popular science publications. Building strong communication with editors and maintaining a well-organized workflow are key strategies to overcome these challenges and consistently deliver high-quality work.

What is the difference between Freelance Science Writer vs Scientific Content Writer?

AspectFreelance Science WriterScientific Content Writer
CredentialsTypically requires a background in science or related fields, strong writing skillsSimilar credentials, often with specialized knowledge in scientific topics
Work EnvironmentIndependent, remote, project-basedOften employed by organizations or agencies, but can also freelance
Industry UsageUsed across scientific publishing, media, and educationCommon in scientific journals, educational content, and corporate communication

Freelance Science Writers and Scientific Content Writers share similar educational backgrounds and work remotely, often on a project basis. The main difference lies in their employment setting: Freelance Science Writers operate independently, while Scientific Content Writers may work within organizations. Both roles require strong scientific knowledge and writing skills, making them closely related in the scientific communication industry.

More about Freelance Science Writer jobs

What are the most commonly searched types of Science Writer jobs in Oregon?

The most popular types of Science Writer jobs in Oregon are:

What are popular job titles related to Freelance Science Writer jobs in Oregon?

For Freelance Science Writer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Freelance Science Writer jobs in Oregon look for?

The top searched job categories for Freelance Science Writer jobs in Oregon are:

What cities in Oregon are hiring for Freelance Science Writer jobs?

Cities in Oregon with the most Freelance Science Writer job openings:

Freelance Science Writer jobs near you
Infographic showing various Freelance Science Writer job openings in Oregon as of August 2026, with employment types broken down into 77% Full Time, 10% Part Time, and 13% Contract. Highlights an 76% In-person, 4% Hybrid, and 20% Remote job distribution, with an average salary of $51,185 per year, or $24.6 per hour.

AI Engineer/Anthropic-Campus Hire - US West

NewRocket

OR • On-site, Remote

Full-time

Posted 6 days ago

Job description

AI Engineer - Campus and Graduate Level

Experience: 1-3 years of relevant experience through internships, academic projects, research, freelance work, or professional roles
Location: [Location / Hybrid / Remote]
Reports to: Agentic AI Architect / Senior Forward Deployed AI Engineer

Why NewRocket

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.

With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners-uniquely focused on enabling enterprises to adopt AI they trust and that delivers lasting business value.

NewRocket is also a proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls.

As an early-career AI Engineer at NewRocket, you will have the opportunity to learn and apply these emerging enterprise AI practices while helping build practical solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, and business workflows.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

Role Overview

NewRocket is seeking a hands-on AI Engineer - Campus and Graduate Level to support the design, development, testing, and deployment of AI-enabled solutions for enterprise clients.

This role is ideal for an early-career engineer with foundational experience in software development, data, and generative AI who is eager to work on practical, high-impact applications of AI-including Claude-powered applications, agentic workflows, intelligent automations, retrieval-augmented generation (RAG), and ServiceNow-based solutions.

You will work closely with AI engineers, product managers, data scientists, platform teams, and client-facing consultants to prototype and deliver scalable AI capabilities. You will gain exposure to the full AI solution lifecycle, from use-case discovery and proof-of-concept development through production rollout, evaluation, monitoring, and continuous improvement.

Travel to clients and conferences as needed.

Key Responsibilities

AI Solution Development

  • Assist in building, testing, maintaining, and documenting AI-enabled applications, workflows, and reusable accelerators.
  • Develop prototypes and proof-of-concepts using generative AI, large language models (LLMs), including Claude and other model providers as appropriate, RAG, APIs, and workflow automation tools.
  • Support the development of agentic AI solutions that can use enterprise context, call approved tools or APIs, and help orchestrate enterprise processes.
  • Assist with prompt and context engineering, including instruction design, examples, structured inputs, response formatting, and output constraints.
  • Help build AI applications using structured outputs, tool use/function calling, human-in-the-loop review, and workflow orchestration patterns.
  • Help integrate AI capabilities with enterprise platforms, including ServiceNow, where applicable.
  • Write clean, maintainable, secure, and well-documented code following engineering best practices.

Retrieval, Data, Evaluation & Quality

  • Support data preparation, document ingestion, chunking, embedding, retrieval, prompt development, evaluation, and testing activities for AI solutions.
  • Assist with RAG solutions that ground AI responses in authorized enterprise knowledge sources and data.
  • Help assess model and workflow performance across accuracy, relevance, groundedness, reliability, latency, cost, safety, and user experience.
  • Assist with the development of test cases, evaluation datasets, monitoring approaches, and feedback loops for AI applications.
  • Support techniques that improve reliability and user trust, such as output validation, citation or source-grounding patterns, fallback handling, confidence thresholds, and escalation workflows.
  • Identify issues, document findings, and contribute to iterative improvements across AI prototypes and production solutions.

Responsible AI & Security

  • Apply responsible AI principles in the development and testing of AI solutions, including awareness of model limitations, hallucinations, bias, privacy, and appropriate human oversight.
  • Help implement safeguards for sensitive data, access controls, authorized data use, prompt-injection risks, and unsafe or unintended tool execution.
  • Support human-in-the-loop workflows for sensitive, high-impact, low-confidence, or exception-based AI decisions.
  • Document solution behavior, known limitations, test results, and operational considerations for internal teams and client stakeholders.

Cross-Functional Collaboration

  • Collaborate with product, engineering, design, data science, ServiceNow platform, and consulting teams to translate business needs into technical solutions.
  • Participate in requirements gathering, solution-design sessions, sprint planning, code reviews, and retrospectives.
  • Support client-facing teams with technical research, demos, proof-of-concept development, and implementation activities.
  • Communicate technical concepts, solution behavior, and findings clearly to both technical and non-technical stakeholders.
  • Contribute to internal documentation, technical playbooks, reusable components, prompt libraries, evaluation assets, and knowledge-sharing sessions.

AI Innovation & Research

  • Stay current on emerging AI technologies, frameworks, Anthropic and Claude capabilities, and enterprise use cases.
  • Complete relevant Anthropic training, partner enablement, and technical education opportunities as available through NewRocket's partnership.
  • Research opportunities to apply generative and agentic AI to improve operational efficiency, employee experiences, customer service, knowledge management, and enterprise workflows.
  • Contribute ideas for new AI capabilities, reusable intellectual property, Agent Packs, accelerators, and product enhancements.

Required Qualifications

  • Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
  • 1-3 years of relevant experience through internships, co-ops, research, freelance work, academic projects, or professional roles.
  • Experience with one or more programming languages, preferably Python, JavaScript/TypeScript, Java, or similar languages.
  • Foundational understanding of software engineering concepts, APIs, databases, source control, and cloud-based applications.
  • Exposure to generative AI, LLMs, prompt engineering, machine learning, data science, or automation concepts.
  • Familiarity with LLM application concepts such as context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation.
  • Familiarity with tools or frameworks such as Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services.
  • Foundational understanding of responsible AI concepts, including data privacy, model limitations, human oversight, and safe AI deployment.
  • Strong problem-solving skills, curiosity, attention to detail, and willingness to learn in a fast-paced environment.
  • Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.

Preferred Qualifications

  • Experience building AI, automation, chatbot, workflow-based, or data-driven projects through coursework, research, internships, hackathons, or personal projects.
  • Exposure to Claude, the Anthropic API, Anthropic Console, Anthropic Academy learning, or Claude-focused implementation guidance.
  • Experience using LLM APIs to build conversational AI, document-processing, summarization, search, knowledge-assistant, or workflow-automation applications.
  • Understanding of RAG, vector databases, embeddings, semantic retrieval, AI agents, tool use, or human-in-the-loop workflow design.
  • Familiarity with ServiceNow, including platform development, workflow automation, Virtual Agent, Predictive Intelligence, Now Assist, AI Agents, IntegrationHub, or Flow Designer.
  • Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
  • Familiarity with Model Context Protocol (MCP) concepts, secure API integration patterns, or connecting AI applications to enterprise tools and data sources.
  • Experience working in an agile software-development environment.
  • Interest in enterprise consulting, digital transformation, and applying AI to real-world business challenges.

What You Will Gain

  • Hands-on experience building enterprise-grade generative and agentic AI solutions, including Claude-powered applications where appropriate.
  • Exposure to Anthropic-aligned practices for prompt and context engineering, RAG, tool use, structured outputs, model evaluation, and responsible AI.
  • Experience across the end-to-end lifecycle of AI product and solution development-from discovery and prototyping to deployment, monitoring, and continuous improvement.
  • Mentorship from experienced AI, engineering, product, ServiceNow, and consulting professionals.
  • Opportunities to contribute to client-facing proofs-of-concept, reusable AI accelerators, Agent Packs, and production implementations.
  • A strong foundation for a career in AI engineering, software development, data science, enterprise technology consulting, or AI product development.

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace.We value and celebrate diversity, believing that every employee matters and should be respected and heard.We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status.For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.

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