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Hire remote UX Writer

Discover developers that match your project requirements.

No exact match for this specialty yet — here are related experts from our network.

Aditya P.
Available Now
Verified in SoftDoesAditya P.
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Andrea M.
Available Now
Verified in SoftDoesAndrea M.
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrea M.
Available Now
Andrea M.Verified in SoftDoes
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrea M.
Available Now
Andrea M.Verified in SoftDoes
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrii V.
Available Now
Verified in SoftDoesAndrii V.
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Andrii V.
Available Now
Andrii V.Verified in SoftDoes
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Andrii V.
Available Now
Andrii V.Verified in SoftDoes
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Boris S.
Available Now
Verified in SoftDoesBoris S.
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Boris S.
Available Now
Boris S.Verified in SoftDoes
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Boris S.
Available Now
Boris S.Verified in SoftDoes
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Eugene M.
Available Now
Verified in SoftDoesEugene M.
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Eugene M.
Available Now
Eugene M.Verified in SoftDoes
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Eugene M.
Available Now
Eugene M.Verified in SoftDoes
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Hripsime S.
Available Now
Verified in SoftDoesHripsime S.
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Hripsime S.
Available Now
Hripsime S.Verified in SoftDoes
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Hripsime S.
Available Now
Hripsime S.Verified in SoftDoes
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Mario J.
Available Now
Verified in SoftDoesMario J.
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Mario J.
Available Now
Mario J.Verified in SoftDoes
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Mario J.
Available Now
Mario J.Verified in SoftDoes
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Raphael O.
Available Now
Verified in SoftDoesRaphael O.
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Raphael O.
Available Now
Raphael O.Verified in SoftDoes
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Raphael O.
Available Now
Raphael O.Verified in SoftDoes
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Santiago G.
Available Now
Verified in SoftDoesSantiago G.
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Santiago G.
Available Now
Santiago G.Verified in SoftDoes
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Santiago G.
Available Now
Santiago G.Verified in SoftDoes
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Thierry M.
Available Now
Verified in SoftDoesThierry M.
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thierry M.
Available Now
Thierry M.Verified in SoftDoes
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thierry M.
Available Now
Thierry M.Verified in SoftDoes
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thomas S.
Available Now
Verified in SoftDoesThomas S.
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Thomas S.
Available Now
Thomas S.Verified in SoftDoes
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Thomas S.
Available Now
Thomas S.Verified in SoftDoes
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Tzechung K.
Available Now
Verified in SoftDoesTzechung K.
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

Tzechung K.
Available Now
Tzechung K.Verified in SoftDoes
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

Tzechung K.
Available Now
Tzechung K.Verified in SoftDoes
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

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What our UX Writers can build

Not sure which engagement model fits?

SoftDoes takes full ownership of delivery, combining project management, engineering, design, and QA into one accountable team focused on successful outcomes.

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RIGHT expert, FASTER

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How to hire a UX Writer

01
BROWSE PROFILESRIGHT NOW

Fill out a short form and see who's on the bench. Real profiles, verified histories.

02
Interview1-3 DAYS

Tell us what you need. We propose two or three candidates from the bench; you interview them directly.

03
OnboardWEEK ONE

Your engineer starts on your project. Contract, payments, and the guarantee run through us.

US VS. THE DATABASE

Time to Start
Talent Quality
Technical Vetting
Flexibility
Operational Overhead
Cost Efficiency
cursor
<SoftDoes>
Time to Start
1-2 weeks
Talent Quality
Senior-only engineers
Technical Vetting
Multi-stage screening
Flexibility
Scale up or down anytime
Operational Overhead
As managed as you want
Cost Efficiency
Competitive, fee-free
Talent Marketplaces
Time to Start
1-3 months
Talent Quality
Mixed experience levels
Technical Vetting
One screen, then gone
Flexibility
Contract restrictions
Operational Overhead
Partially managed
Cost Efficiency
Agency markup
In-House Hiring
Time to Start
2-6 months
Talent Quality
Depends on market
Technical Vetting
Internal responsibility
Flexibility
Long-term commitment
Operational Overhead
Fully internal
Cost Efficiency
Highest total cost

Frequently Asked Questions

Everything you need to know about deploying, scaling, and securing your neural agents with SoftDoes. Can’t find an answer?

How long does it take to hire a UX Writer through SoftDoes?

Most clients are matched with a qualified UX writer in under 24 hours. After a brief requirements conversation, we present two to three pre vetted candidates with relevant product and domain experience. From first conversation to a writer joining your team, the entire process typically takes days rather than the weeks or months you would spend with traditional recruiting channels. Our network is built for speed without sacrificing quality, so you are never left waiting for the right person to show up.

What does it cost to hire a UX Writer?

Costs vary based on seniority, engagement model, domain complexity, and whether you need a single specialist or a full pod. Senior UX writers in North American markets typically command salaries in the range of $90,000 to $160,000 per year for full time roles, with high end staff positions at major companies reaching well above $200,000. Through SoftDoes, you get access to senior level talent at competitive rates with the added benefits of replacement guarantees, flexible scaling, and zero overhead from traditional hiring processes. We scope pricing to your specific needs during our initial consultation.

What engagement models are available (dedicated hire, pod, contract)?

SoftDoes offers three core models. A single dedicated UX writer works best for focused product areas or specific content design projects. A UX writing pod, which can include a senior writer, content strategist, and design collaboration, is ideal for comprehensive product launches or content system overhauls. For enterprise scale initiatives spanning multiple product lines, we offer custom team configurations with dedicated account management and content governance. Every model is designed to scale up or down as your needs change, with no long term lock in.

How do you ensure time zone alignment with a UX Writer?

Every engagement begins with understanding your team's working hours and collaboration rhythm. Because SoftDoes focuses on serving clients across the US and Canada, our talent network includes writers across multiple time zones who can overlap with your core hours. We confirm availability and overlap requirements before presenting any candidate, so your UX writer participates in standups, design reviews, and sprint ceremonies in real time rather than asynchronously.

How does SoftDoes technically vet a UX Writer?

Our vetting process goes well beyond reviewing a resume or scanning a portfolio. Every candidate goes through a multi stage evaluation: a technical screening that assesses microcopy quality and the ability to work within real product constraints; a practical exercise based on a realistic product scenario; a process interview where they walk through past decisions, trade offs, and measurable impact; and a collaboration and culture assessment. We also conduct reference checks focused on outcomes like reduced support volume, improved task completion, and the ability to ramp quickly in unfamiliar domains. Only candidates who pass every stage join our network.

What happens if the UX Writer isn't the right fit, or I need to scale up or down?

If the writer is not the right match for your team or product, we replace them at no additional cost. Our guarantee is straightforward: you should never be stuck with someone who is not delivering results. Scaling works the same way. If your project scope expands and you need additional writers or a full pod, we can add capacity quickly. If a project wraps up or priorities shift, you scale down without penalty or lengthy contract renegotiation. The flexibility is built into every engagement model we offer.

How to Hire a UX Writer

Most companies burn weeks interviewing candidates who can write marketing copy but freeze when asked to craft an error message under a 40 character limit. The cost of a bad UX writing hire is not just the salary; it is the delayed product launches, confused users, and mounting support tickets that follow. This guide walks you through what a UX writer actually does, how to scope your needs, how to vet and onboard the right person, and how to avoid the most common hiring mistakes so you can move faster and build better products.

What a UX Writer Actually Does (and Why the Role Keeps Evolving)

The Daily Work Behind Every Button, Error Message, and Flow

A UX writer creates clear text for digital interfaces: the button labels, tooltips, onboarding sequences, error messages, notifications, and empty states that users see every time they interact with your product. Unlike a copywriter focused on persuasion or a technical writer focused on documentation, a UX writer sits inside the product design process itself, shaping the words that guide users through interactions with content. The title may vary (content designer, UX content specialist, product writer), but the core mission stays the same: make digital products intuitive through language.

Here is what the work looks like in practice:

  • Writing and refining microcopy. Crafting button text, labels, modals, tooltips, and error messages optimized for clarity, brevity, and efficiency under real constraints like character limits and localization requirements.
  • Conducting user research and validating copy. Using usability testing, A/B tests, surveys, and behavioral analytics to inform content decisions rather than relying on gut instinct. Effective UX writing involves using research and user testing to inform content decisions.
  • Owning voice, tone, and terminology. Defining and maintaining content strategy guidelines, auditing UI string consistency across product surfaces, and ensuring brand identity stays coherent across every screen.
  • Collaborating across disciplines. Working daily with designers, product managers, engineers, QA, localization, and compliance teams. UX writers often collaborate with design and development teams to integrate content decisions early in design reviews and sprint cycles.
  • Navigating technical and accessibility constraints. Handling edge cases, pluralization, gendered language, screen reader compatibility, and internationalization. UX writers should be comfortable working within tools like Figma and Sketch alongside their design partners.
  • Contributing to product strategy. Surfacing user comprehension risks, proposing naming improvements, and building scalable content systems or pattern libraries that protect consistency as products grow.

A great UX writer blends strong microcopy skills with product design thinking. They must advocate for the user while balancing business constraints, translating complexity into the kind of clarity that makes user interfaces feel effortless. Candidates should show evidence of curiosity, learning ability, and strong communication skills.

Why Getting This Hire Right Changes Your Product Trajectory

Hiring a UX writer requires looking beyond traditional copywriting. When you place the right person in this role, the business impact is concrete and measurable:

  • Reduced support costs and user errors. Clear copy guides users to complete tasks without confusion. Rewritten error messages and flow labels have helped companies see measurable reductions in support tickets and increased task completions.
  • Faster time to market. Reusable content patterns and a well maintained design system mean your team spends less time rewriting strings from scratch. A UX writer who builds these systems contributes to efficiency across every sprint.
  • Stronger conversion and retention. When UI language reduces friction and builds confidence, users complete more flows and come back more often. Research suggests UX investment can return up to $100 for every $1 invested.
  • Brand consistency and compliance. Especially in regulated industries like finance and healthcare, precise and consistent language avoids costly misunderstandings, supports accessibility standards, and reinforces trust with every interaction.

UX writers create content that aligns user needs with business goals. This is not a nice to have role. It is the difference between a product that users manage to use and one they actually want to use.

How to Prepare Before You Open the Role

Scoping Your Needs So You Hire the Right Person

Before you write a job description or reach out to your talent network, invest time in internal alignment. The most common hiring failures happen because the company did not define what it actually needed.

Project Scope and Requirements

Clarify which surfaces the UX writer will own. Will they handle UI strings across your entire platform, or focus on a specific product area like onboarding, checkout, or a new mobile apps feature? Identify domain complexity: machine learning workflows, healthcare regulations, and financial compliance each demand different expertise. Define project needs clearly before hiring a UX writer. Specify required languages or localization needs. Distinguish between isolated feature work and ongoing product maintenance.

Expect deliverables like UX content strategy plans, wireframes with annotated copy, voice and tone guidelines, and measurable improvements to specific flows.

Team Structure and Engagement Model

Decide where the UX writer sits. Do they report to product design, product management, or a centralized content team? Define the collaboration rhythm: will they join sprints, participate in design reviews, attend standups? Clarify who provides feedback on content decisions and who owns brand voice governance. The answers here determine whether you need someone who thrives in a deeply embedded role or someone comfortable operating with more autonomy.

In House vs. Dedicated Remote Talent

Weigh the trade offs honestly:

  • In house (full time): Deep domain immersion, easier collaboration, continuity. Higher overhead from salary, benefits, and infrastructure. Best when you have sustained, ongoing UX content needs.
  • Dedicated remote specialist: Access to broader talent pools, cost flexibility, faster ramp. Risks include potential misalignment, communication overhead, and timezone management.
  • Talent partner or pod model: Combines vetted expertise with replacement guarantees and the ability to scale up or down. A cost premium, but lower risk and faster time to productivity. Useful when internal capacity is limited or you need burst capacity for a launch.

Writing a Job Description That Attracts Senior UX Writers

A vague job post attracts vague candidates. The best UX writer jobs descriptions share four elements:

  1. The mission. What problem is this UX writer solving? "Streamline our checkout flow for regulatory compliance" is infinitely more compelling than "write microcopy." Explain why this hire is strategic, not just operational.
  2. The stack and context. Detail the product platforms (website, mobile apps, internal tools, voice interfaces), domain complexity, design tools, localization requirements, and accessibility standards. A passionate, qualified candidate wants to know what they are walking into.
  3. Team structure. Where the writer sits, who they work with (designers, product managers, engineers, compliance), reporting lines, and the maturity of UX content in the organization. Be honest about whether you are building this function from the beginning or joining an established team.
  4. Growth and impact. Define success metrics: reduced flow abandonment, fewer support tickets, faster iteration cycles. Outline opportunities for ownership like building a voice strategy or contributing to the design system. Show that this role has a career path, not just a task list.
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How to Find, Evaluate, and Onboard the Right UX Writer

A Vetting Process That Goes Beyond Portfolios and Resumes

Sourcing Strategy

Relying on a single channel is a recipe for a slow, frustrating search. Combine internal referrals, professional UX content communities, design and UX job boards, LinkedIn outreach, and vetted talent partners. For enterprise needs, using a partner like SoftDoes through our talent network helps you connect with senior, proven UX writers quickly and reduces interviewing overhead. The average time to match with a UX writer through a dedicated talent partner can be under 24 hours, compared to weeks or months through traditional recruiting.

A freelance UX writer found on a general marketplace may deliver adequate work for a one off project, but enterprise product teams need someone who can contribute to content strategy, manage complexity, and evolve with the product. UX writers on platforms like Fiverr typically charge around $43.00 per service and take an average of 15 days to deliver jobs, which rarely matches the pace or depth that a growing product organization demands.

Vetting Beyond the Resume

Do not stop at credentials. Here is how to evaluate whether a candidate can actually do the work:

  • Technical screening. Assess writing clarity and the ability to work within constraints. Review sample microcopy: can they write a compliant error message that a user actually understands? Look for clarity, brevity, and efficiency in every sample.
  • Practical real world task. Give a scenario that mirrors your actual product challenges (rewrite an onboarding flow, draft error states for a specific edge case, create button labels for a complex workflow). Ask the candidate to explain their thought process, rationale, and assumptions. Realistic exercises during interviews can assess a UX writer's practical skills far better than hypothetical questions.
  • Portfolio and process review. A strong portfolio should demonstrate problem solving skills rather than just visual layout. Have the candidate walk through past work, emphasizing decisions, trade offs, and measurable impact. Assess candidate portfolios for clarity, brevity, and efficiency.
  • Culture and collaboration interview. Explore how they work in cross functional teams, accept feedback, handle scope changes, and advocate for user needs when they conflict with business pressure. Structured interview scorecards ensure consistent candidate evaluation across every interview loop.
  • Reference checks. Focus on outcomes: did they reduce support tickets, improve task completion, or ship faster? Ask about their ability to learn a new domain quickly and deliver quality under pressure.

Setting Your New UX Writer Up for Success in the First 90 Days

Onboarding requires a clear understanding of project needs. A disorganized ramp up is one of the fastest ways to lose a good hire.

First 30 days: Introduce the new UX writer to the product, domain (business logic, regulations, policies), design system, and brand voice guidelines. Provide style guides and user personas during onboarding. Set a timeline for the UX writing project at the start. Have them shadow design reviews, meet key stakeholders, and begin owning small microcopy tasks to build context and confidence.

Days 30 to 60: Ramp into larger flows or features. The writer should contribute to voice and terminology audits, begin collaborating actively with engineers and designers, and receive structured feedback. Regular check ins improve communication with the UX writer and surface issues before they compound. Early wins, like improving a confusing flow or reducing a known pain point, help build trust and credibility with the team.

Days 60 to 90: Full ownership of content areas. The writer should propose and lead content pattern improvements, measure the impact of their work through analytics, usability findings, and bug reports, and demonstrate strong alignment with the engineering and design process. Clear guidelines help streamline the revision process as the writer takes on more responsibility.

Retention depends on giving the writer a clear career path, authority to make content decisions, visibility into the impact of their work, and a healthy balance between strategic and routine tasks.

How to Spot the Right (and Wrong) Candidate

Warning Signs and Winning Indicators in Every Interview

Red Flags:

  • Portfolio without process. The work looks polished, but there is no documentation of trade offs, constraints, or measurable impact. If they cannot explain why they made a decision, they may lack the deep understanding needed for complex products.
  • No connection to research or data. Strong writing skills without any method to validate assumptions or test copy with real users. UX writing without user research is just guessing.
  • Rigid voice and tone. Inability to adapt between formal and informal registers, or between consumer and enterprise contexts. Your product will evolve, and the writer's voice must evolve with it.
  • Poor collaboration stories. Defensiveness when receiving feedback, or inability to explain how they managed conflicting stakeholder demands. UX writers who cannot communicate effectively across teams become bottlenecks rather than accelerators.

Green Flags:

  • Impact stories with metrics. The candidate can showcase specific examples where their copy changes improved user task success, reduced errors, or cut support volume. They speak in outcomes, not just deliverables.
  • Content systems experience. They have built or contributed to style guides, terminology strategies, or reusable content patterns. This signals someone who can contribute beyond individual tasks and help your team manage quality at scale.
  • Comfort with constraints. Regulations, security requirements, localization, accessibility: they treat these as creative challenges, not obstacles. They translate complexity into clarity.
  • Early process involvement. They join design reviews, inform policy discussions, and collaborate with engineers before handoff. They demonstrate good judgment in ambiguous situations and earn trust across the organization.

Why Working with SoftDoes Gives You an Edge

Finding a UX writer who checks every box is hard. Finding one who is available, vetted, and ready to contribute to your product within days is harder. SoftDoes exists to solve exactly this problem for product teams across North America.

Here is what makes the partnership different:

  • Senior, vetted talent. Every UX writer in our network has been rigorously screened for writing quality, product thinking, collaboration skills, and domain expertise. No junior surprises.
  • Team delivery model. Unlike isolated freelancers or contractors, our writers integrate with your existing design and product teams. Need a full pod with a content strategist and UX designer? We scale to fit your needs.
  • Replacement and scaling guarantees. If the fit is not right, we replace the writer. If your project scope grows, we scale with you. If it shrinks, you scale down without penalty.
  • Flexible engagement models. From a single dedicated UX writer for a focused project to a full content design pod for a product launch, we match the model to your stage and budget.
  • Speed. We match clients with qualified UX writers in hours, not weeks. No waiting through months of job posts and interview loops.

Explore our user experience design services to see how we embed UX content expertise directly into the product design process.

Ready to Hire a UX Writer?

Stop burning time on mismatched candidates and slow hiring cycles. Whether you need a single senior UX writer or a full content design team, SoftDoes can connect you with the right person, fast.

Schedule a discovery call today. Tell us about your product, your team, and your timeline, and we will present vetted candidates who are ready to contribute from day one.

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