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Feature Writer Jobs in Ohio (NOW HIRING)

Effective written and verbal communication skills * Meticulous attention to detail and quality of ... Deliver governed datasets and feature engineering/serving for ML training and real-time inference ...

Effective written and verbal communication skills * Meticulous attention to detail and quality of ... Deliver governed datasets and feature engineering/serving for ML training and real-time inference ...

AI and Data Science Engineer III

Cleveland, OH · On-site +1

$111K - $133K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning ... Effective written and verbal communication skills * Meticulous attention to detail and quality of ...

Effective written and verbal communication skills * Meticulous attention to detail and quality of ... Deliver governed datasets and feature engineering/serving for ML training and real-time inference ...

AI and Data Science Engineer III

Columbus, OH · On-site +1

$110K - $132K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning ... Effective written and verbal communication skills * Meticulous attention to detail and quality of ...

Effective written and verbal communication skills * Meticulous attention to detail and quality of ... Deliver governed datasets and feature engineering/serving for ML training and real-time inference ...

Effective written and verbal communication skills * Meticulous attention to detail and quality of ... Deliver governed datasets and feature engineering/serving for ML training and real-time inference ...

As part of this position, you'll work closely with our magazine's writer and directly with families/feature subjects to capture the perfect shots that tell their stories. This opportunity requires ...

As part of this position, you'll work closely with our magazine's writer and directly with families/feature subjects to capture the perfect shots that tell their stories. This opportunity requires ...

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... computer vision tasks. • Write clean, efficient, and well-documented Python code for data ... feature engineering, and model evaluation. • Familiarity with version control (Git) and Jupyter ...

Sr. Product Manager

Columbus, OH

$122K - $161K/yr

... feature requests * Proven ability to build a product from the ground up * Experience in Fintech or mortgage preferred * Demonstrated ability to build and maintain relationships * Excellent written ...

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature ... Strong written and verbal communication skills, with the ability to influence others to take action.

... the feature * A builder's mindset about engineering systems - you don't just follow the SDLC, you improve it; writing runbooks, automating processes, and raising the baseline is work you seek out

... the feature * A builder's mindset about engineering systems - you don't just follow the SDLC, you improve it; writing runbooks, automating processes, and raising the baseline is work you seek out

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Showing results 1-20

Feature Writer information

See Ohio salary details

$10

$24

$53

How much do feature writer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for feature writer in Ohio is $24.99, according to ZipRecruiter salary data. Most workers in this role earn between $18.24 and $25.27 per hour, depending on experience, location, and employer.

What Does a Feature Writer Do?

A feature writer is a journalist at a magazine, newspaper, or online publication who is responsible for researching and writing feature stories, such as the cover story or a long-form article. As a feature writer, you produce pieces that are longer than a typical news story and rely on in-depth interviews and extensive research or investigative reporting. You typically work under a features editor, and you can work on either a freelance or salary basis. As a features writer, you may pitch stories to the editor, or you may be assigned topics.

What are the key skills and qualifications needed to thrive as a Feature Writer, and why are they important?

To thrive as a Feature Writer, you need strong storytelling abilities, excellent research skills, and a solid grasp of grammar and style, typically supported by a degree in journalism, English, or a related field. Familiarity with content management systems (CMS), SEO tools, and digital publishing platforms is often required. Creativity, adaptability, and the ability to meet deadlines help feature writers stand out in producing engaging and timely content. These skills are crucial for crafting compelling stories that attract and retain readers in a competitive media landscape.

What is the difference between Feature Writer vs Copywriter?

AspectFeature WriterCopywriter
Primary FocusCreating in-depth, engaging articles on specific topicsWriting persuasive content to promote products or services
Work EnvironmentMagazines, online publications, journalism outletsAdvertising agencies, marketing departments, online platforms
Required SkillsResearch, storytelling, journalistic writingPersuasive writing, marketing knowledge, creativity
Common UsagePublishing, journalism, editorial contentAdvertising, branding, direct marketing

While both roles involve writing, Feature Writers focus on producing detailed, informative articles for publications, whereas Copywriters craft concise, persuasive content aimed at marketing and sales. Understanding these differences helps employers and writers align their skills with the right job opportunities.

What is a feature writer?

A feature writer is a journalist who researches, writes, and produces in-depth articles that explore a topic, person, or event in greater detail than standard news reporting. Feature writers often focus on storytelling, offering insights, background, and human interest angles to engage readers. Their work can be found in newspapers, magazines, and online publications, covering a wide variety of subjects such as lifestyle, culture, or current events.

What are some common challenges feature writers face when working on in-depth stories, and how can they overcome them?

Feature writers often encounter challenges such as sourcing credible information, securing interviews with key subjects, and meeting tight deadlines while maintaining narrative quality. To overcome these obstacles, it's important to build strong research skills, cultivate professional relationships for access to sources, and develop efficient time management strategies. Collaborating with editors and fact-checkers also helps ensure accuracy and clarity. Staying organized and adaptable allows feature writers to produce compelling stories even in dynamic newsroom environments.
What are the most commonly searched types of Feature Writer jobs in Ohio? The most popular types of Feature Writer jobs in Ohio are:
What are popular job titles related to Feature Writer jobs in OH? For Feature Writer jobs in OH, the most frequently searched job titles are:
Infographic showing various Feature Writer job openings in Ohio as of May 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 52% Physical, 2% Hybrid, and 46% Remote job distribution, with an average salary of $51,985 per year, or $25 per hour.
AI Engineer III

AI Engineer III

Deloitte

Cincinnati, OH • Hybrid

Other

Posted 15 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

AI Engineer III

Position Summary

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions.

This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.

Recruiting for this role ends on 08/30/2026.

Work you'll do

As an AI Engineer III on the HC Forward team, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences.

  • Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product needs into secure, scalable technical designs and delivered solutions (APIs, services, pipelines, containers/serverless) meeting availability, performance, and security expectations.
  • Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including secure endpoints, tool/function calling, and reusable prompt/context patterns.
  • Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry.
  • Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills).

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Qualifications

Required:

  • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
  • 4+ years building and delivering LLM/GenAI solutions with Claude/GPT(Codex)/Gemini-class models, including prompt/context design, tool/function calling, evaluation, and production integration.
  • 4+ years implementing RAG/retrieval (document processing, embeddings, vector/hybrid search) with enterprise governance controls.
  • 4+ years of modern data & AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.
  • 4+ years building production, real-time inference services (API design, latency/performance, reliability patterns).
  • 4+ years leading platform/integration engineering across enterprise systems; strong API/integration experience (REST, GraphQL, event-driven, microservices, middleware).
  • 4+ years DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes, observability/monitoring).
  • 4+ years leading security/compliance efforts; familiarity with enterprise security controls (IAM, encryption, secrets, audit logging) and data/privacy (PII, retention, access controls); SOC 2/GDPR/HIPAA exposure a plus.
  • Ability to travel 0-25%, on average, based on client and project needs.
  • Limited immigration sponsorship may be available

Preferred:

  • Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML).
  • 4+ years of experience with Human Capital platforms and integrations (e.g., Workday, SAP SuccessFactors, Oracle HCM, Salesforce) and HR data domains.
  • 4+ years of experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management).
  • 4+ years of cloud experience on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns.
  • 4+ years of experience with structured problem solving, translating business needs into requirements, acceptance criteria, and shippable increments.
  • 4+ years of experience with stakeholder communication: ability to explain AI/GenAI trade-offs (quality vs. latency vs. cost vs. risk) and document decisions.
  • 4+ years of experience collaborating across product, data science/ML, data engineering, platform, and security.
  • 4+ years of experience with treat testing, monitoring, and operational readiness as core responsibilities.
  • 4+ years of experience with ethics and privacy awareness being able to recognize consent/PII/bias boundaries and escalate appropriately.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $$113,100 to $208,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.

For more information about Human Capital, visit our landing page at:https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html

#HCFY26 #IIOFY26

Qualifications:

AI Engineer III

Position Summary

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions.

This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.

Recruiting for this role ends on 08/30/2026.

Work you'll do

As an AI Engineer III on the HC Forward team, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences.

  • Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product needs into secure, scalable technical designs and delivered solutions (APIs, services, pipelines, containers/serverless) meeting availability, performance, and security expectations.
  • Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including secure endpoints, tool/function calling, and reusable prompt/context patterns.
  • Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry.
  • Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills).

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Qualifications

Required:

  • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
  • 4+ years building and delivering LLM/GenAI solutions with Claude/GPT(Codex)/Gemini-class models, including prompt/context design, tool/function calling, evaluation, and production integration.
  • 4+ years implementing RAG/retrieval (document processing, embeddings, vector/hybrid search) with enterprise governance controls.
  • 4+ years of modern data & AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.
  • 4+ years building production, real-time inference services (API design, latency/performance, reliability patterns).
  • 4+ years leading platform/integration engineering across enterprise systems; strong API/integration experience (REST, GraphQL, event-driven, microservices, middleware).
  • 4+ years DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes, observability/monitoring).
  • 4+ years leading security/compliance efforts; familiarity with enterprise security controls (IAM, encryption, secrets, audit logging) and data/privacy (PII, retention, access controls); SOC 2/GDPR/HIPAA exposure a plus.
  • Ability to travel 0-25%, on average, based on client and project needs.
  • Limited immigration sponsorship may be available

Preferred:

  • Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML).
  • 4+ years of experience with Human Capital platforms and integrations (e.g., Workday, SAP SuccessFactors, Oracle HCM, Salesforce) and HR data domains.
  • 4+ years of experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management).
  • 4+ years of cloud experience on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns.
  • 4+ years of experience with structured problem solving, translating business needs into requirements, acceptance criteria, and shippable increments.
  • 4+ years of experience with stakeholder communication: ability to explain AI/GenAI trade-offs (quality vs. latency vs. cost vs. risk) and document decisions.
  • 4+ years of experience collaborating across product, data science/ML, data engineering, platform, and security.
  • 4+ years of experience with treat testing, monitoring, and operational readiness as core responsibilities.
  • 4+ years of experience with ethics and privacy awareness being able to recognize consent/PII/bias boundaries and escalate appropriately.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $$113,100 to $208,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.

For more information about Human Capital, visit our landing page at:https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html

#HCFY26 #IIOFY26

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