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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.
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Aditya P.Verified in SoftDoes
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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.
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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.
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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.
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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.
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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.
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Andrii V.
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Boris S.
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Boris S.
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Boris S.
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Eugene M.
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Eugene M.
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Eugene M.
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Mario J.
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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
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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
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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.
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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.
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Santiago G.Verified in SoftDoes
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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.
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Santiago G.Verified in SoftDoes
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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.
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US 🇺🇸English (C1)Senior
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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.
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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.
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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.
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LeadershipMentorshipGenerative AIPyTorch

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

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Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

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Tzechung K.
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Tzechung K.
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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.
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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 Copy Editors can build

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How to hire a Copy Editor

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 Copy Editor through SoftDoes?

For senior roles, expect a timeline of roughly four to six weeks from initial consultation through onboarding. This includes sourcing from pre vetted talent pools, conducting editing tests and interviews, finalizing contract terms, and beginning the first 30 days of structured ramp up. If the need is urgent, this timeline can be compressed, but quality vetting should never be rushed. SoftDoes maintains an active bench of professionals with extensive experience, which shortens the sourcing phase compared to starting a search from scratch.

What does it cost to hire a Copy Editor?

Good copy editors charge $35 to $85 per hour depending on experience, domain specialty, and location. Copy editors on Reedsy charge 2¢ to 3.2¢ per word, and the average cost for a 60,000 word book is $1,620. A full length book can cost between $4,000 and $17,500 to edit, while editing a 30 page article may cost up to $2,000. Copyediting rates vary by genre and manuscript condition, so the likely total cost depends on the depth of editing, the total electronic word count, and other factors like turnaround speed. For ongoing B2B content needs, a dedicated engagement model through SoftDoes typically provides more predictable pricing than assembling a patchwork of freelance relationships. Discuss pricing structures and have a clear contract with your editor before work begins to avoid surprises.

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

SoftDoes offers three primary engagement models. A dedicated hire places a full time copy editor (remote or embedded) who works exclusively on your content. A contract or freelance engagement provides flexible capacity for variable volume, ideal for businesses with seasonal or project based needs. A pod model embeds a copy editor within a cross functional content team alongside writers, designers, and strategists for organizations with high content volume. You can also use a blended model, starting with a single specialist and scaling to a full editorial team as your needs grow. Each model includes full vetting, onboarding support, and replacement guarantees.

How do you ensure time zone alignment with a Copy Editor?

SoftDoes sources talent primarily from North America, serving clients across the US and Canada. This ensures meaningful overlap during core business hours without requiring overnight shifts or asynchronous only workflows. During the initial consultation, SoftDoes defines collaboration windows based on your team's location and working hours. For teams spread across multiple time zones, editors are matched to maximize overlap with the stakeholders they interact with most frequently, whether that is your content lead, engineering docs manager, or marketing team.

How does SoftDoes technically vet a Copy Editor?

Every candidate goes through a multi stage process. First, SoftDoes reviews their portfolio for verified experience, looking at before and after edits, not just polished final output. Next, candidates complete a timed editing test with seeded errors covering grammar, style guide application, and domain specific content (for example, a product specification or compliance document). This is followed by interviews that assess judgment under real scenarios: handling conflicting style guides, editing AI generated copy, managing tight deadlines, and collaborating with subject matter experts. Finally, references are checked and communication style is evaluated to ensure compatibility with your team. Use professional directories to find vetted editors, but SoftDoes goes further by testing practical capability, not just credentials.

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

SoftDoes provides a replacement guarantee. If the editor does not meet expectations during the initial engagement period (typically evaluated within the first 30 to 90 days using clear milestones and quality metrics), SoftDoes sources and places a replacement at no additional recruitment cost. Scaling is equally straightforward: you can add more editors to handle increased content volume or reduce capacity during slower periods. Contractual terms are designed for flexibility, so you are never locked into a headcount that does not match your current needs. This is one of the core advantages of partnering with a talent delivery partner rather than managing individual freelancer relationships independently.

How to Hire a Copy Editor

Most companies treat hiring a copy editor as a last minute checkbox, then wonder why their product docs read like rough drafts, their blog posts contradict each other, and their compliance materials trigger legal reviews. The right copy editor transforms written material from a liability into a competitive advantage. This guide walks you through what a copy editor actually does, how to define your needs, where to find and vet top candidates, and how to onboard them so they deliver value from week one.

What a Copy Editor Really Does (and Why the Role Keeps Evolving)

The Daily Work Behind Great Copy Editing

A copy editor is the last expert pair of eyes between your draft and your audience. While many authors and businesses assume copyeditors edit only for grammar, the reality is far more involved. Copy editing occurs after developmental editing and before proofreading, sitting at the critical midpoint where written material must be polished into its final, publishable form. There are four types of editing: technical, style, correlation, and substantive. A strong copy editor operates fluently across all of them.

Here is what a professional editor actually does day to day:

  • Corrects grammar, spelling, and punctuation errors across all content types, from journal articles and nonfiction books to product documentation and marketing pages. Technical editing catches spelling errors, compound words misuse, and inconsistent punctuation that spell check alone will never flag.
  • Enforces style guide consistency by applying the Chicago Manual of Style, AP Press Stylebook, or your internal house guide to every piece of content. A good copyeditor can confirm mastery of relevant style guides and shift between them mid project without losing quality.
  • Improves clarity, cohesion, and consistency of prose so that each sentence serves a purpose. Substantive editing improves the logic and clarity of a manuscript, while line editing addresses creative content and copy editing handles mechanics. Together, these layers ensure a manuscript's clarity holds up under scrutiny.
  • Fact checks claims, data, and cross references including product version numbers, regulatory statements, statistics, and hyperlinks. This is especially critical for businesses operating in regulated industries like finance, healthcare, or energy.
  • Preserves the author's voice while improving text, knowing when not to change a writer's phrasing. Good editors balance active voice recommendations with respect for intentional stylistic choices, avoiding the trap of flattening every sentence into passive voice or overcorrecting deliberate tone.
  • Collaborates with writers, subject matter experts, and designers to resolve ambiguities, adjust difficult passages, and ensure formatting aligns with publication standards. This includes working in tools like Microsoft Word, Google Docs, CMS platforms, Markdown editors, and version control systems.

Copy editors typically edit 2 to 5 pages per hour, depending on the complexity and condition of the manuscript. Line editing addresses creative content while copy editing handles mechanics, meaning a skilled editor must judge exactly how many pages need light cleanup versus deep structural attention.

Why Getting This Hire Right Changes Your Business Trajectory

Hiring the right copy editor is not a nice to have. It is a strategic priority with measurable business impact. Here is what you gain:

  • Faster time to market. Fewer revision cycles and fewer back and forth corrections mean your product docs, release notes, and marketing collateral ship on schedule. When copyediting is handled by a professional editor with domain expertise, content moves through review stages without stalling.
  • Reduced risk from errors. A single compliance misstatement, an incorrect code snippet, or a factual error in a white paper can trigger legal exposure or erode trust with enterprise buyers. Copy editing corrects grammar, spelling, and style errors before they reach your audience.
  • Stronger brand credibility. Technical audiences and enterprise clients in the social sciences, finance, or healthcare judge poorly edited content harshly. Polished, consistent writing reinforces your expertise and positions you as an industry standard authority.
  • Scalable content operations. As you grow your content volume across multiple writers, geographies, or product lines, a dedicated copy editor ensures voice and quality remain consistent. This is the foundation of sustainable content editing at scale.

How to Prepare Before You Start Recruiting

Aligning Your Team on What You Actually Need

Before you post a job listing or reach out to a freelance editor, align internally on three dimensions. Skipping this step is the single most common reason companies end up with a bad fit.

Project Scope and Requirements

Define the types of content the editor will touch: product feature documentation, API docs, marketing content, white papers, compliance copy, blog posts, or short stories for brand publishing. Determine the volume and frequency (number of pieces per month, average page count, expected templates). Then determine the level of editing needed before hiring a copy editor. Light proofreading is different from substantive editing that improves logic and clarity. Make sure to define the project scope and specific editing needs upfront so you are not paying for developmental editing when all you need is a final proofread.

Team Structure and Engagement Model

Decide who the editor will report to (content lead, engineering docs manager, marketing head) and who they will work alongside (writers, designers, SMEs, legal). Map out where editing fits in your workflow: draft, content strategy, writer, editor, final review. This clarity prevents bottlenecks and ensures the editor can contribute from day one rather than spending weeks figuring out who owns what.

In House vs. Dedicated Remote Talent

An in house editor offers an immediate feedback loop, cultural fluency, and tighter alignment. A dedicated remote hire or a talent network gives you access to senior professionals across geographies, flexibility to scale up or down, and coverage across time zones. For many scaling tech companies, a blended model (one embedded editor plus access to a freelance team for overflow) delivers the best balance of consistency and flexibility. Consider other factors like budget constraints, headcount limits, and whether you need someone editing professionally full time or on a project basis.

Writing a Job Description That Attracts Senior Talent

A generic job description attracts generic candidates. To bring in editors with extensive experience in B2B tech, your listing must cover four elements:

  • Mission. Explain what the editor's work enables. "Help enterprises communicate technical competence and reduce risk in compliance materials" is far more compelling than "edit blog posts." Anchor the role in purpose, not just tasks.
  • Stack and context. List the authoring tools (CMS, GitHub, Markdown, XML, Microsoft Word, Google Docs), style guides used (Chicago Manual, AP Press Stylebook, in house), and domains of knowledge (AI/ML, cloud infrastructure, healthcare, finance). Editors who see their expertise reflected in the description self select in.
  • Team structure. Describe who the editor will collaborate with, reporting relationships, and cross functional exposure. Clarify whether this is a solo editor role or part of a squad. Many debut authors of their career path in editing want to know if mentorship or leadership opportunities exist.
  • Growth and impact. Outline the career path: owning style guides, influencing content strategy, leading quality metrics. Quantify the scope (content volume, error rate targets, publication speed goals). Editors who have worked on several bestsellers or at university presses want to know their expertise will be valued and stretched.
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Sourcing, Screening, and Setting Up Your Copy Editor for Success

A Vetting Process That Goes Beyond Portfolios

Sourcing Strategy

Use specialized talent networks and editorial communities rather than relying solely on generic job boards. The Editorial Freelancers Association offers a directory of copyeditors, and professional directories help you find vetted editors with relevant backgrounds. Supplement with outbound recruiting on LinkedIn, content strategy meetups, and technical writing forums. For B2B tech roles, look specifically in communities where editors discuss nonfiction, publication standards, and regulated content. If the need is urgent or variable in volume, a senior contract or freelance copyeditor can bridge the gap while you search for a permanent hire.

Vetting Beyond the Resume

Resumes tell you where someone worked. They do not tell you how well they edit. Structure your vetting to reveal real capability:

  • Technical screening. Provide a draft with seeded errors of grammar, spelling, style inconsistency, and domain specific inaccuracies (for example, a product spec with an incorrect API endpoint or a compliance claim that needs verification). Look for verified experience in a copy editor's portfolio and ask for before and after samples.
  • Sample edit. Request a sample edit to evaluate an editor's style and thoroughness. Have them improve an existing piece of your content for clarity, flow, and brand voice. This reveals whether they can preserve your tone while tightening your prose. Editing a 30 page article may cost up to $2,000 at professional rates, so a short sample (three to five pages) is a fair and standard ask.
  • Problem solving interview. Ask how they would handle conflicting style guides, tight deadlines, AI generated copy, or a domain gap they have never encountered. Questions like "Walk me through editing a 1,500 word technical article from first read to publication" or "Tell me about a time you caught a serious error others missed" reveal judgment under pressure.
  • Culture fit. Assess how they give and receive feedback, how they collaborate with subject matter experts, and how they communicate disagreements. Ensure the editor's communication style matches your preferences. A brilliant editor who cannot work with your team is not a good fit.

Structured Onboarding: The 30/60/90 Day Framework

A structured onboarding plan is the difference between a copy editor who delivers value in month one and one who spends three months figuring out your workflow.

  • Days 1 through 30: Immersion. Grant full access to your CMS, editorial tools, and collaboration platforms. Introduce existing content, style guides, and brand voice documentation. Schedule meetings with writers, SMEs, and designers. Assign small editing tasks (blog posts, release notes) to calibrate quality and speed. Understand turnaround time and availability from the start.
  • Days 31 through 60: Expansion. Increase responsibility to larger pieces: white papers, technical documentation, compliance copy. Have the editor contribute to style guide updates and review the content calendar. Establish regular feedback cycles so issues surface early, not at the quarterly review.
  • Days 61 through 90: Ownership. The editor leads editorial projects independently, proposes workflow improvements, and (if applicable) mentors junior writers. Define goals tied to quality metrics: error rates, publication speed, content owner satisfaction. By day 90, the editor should be a self sufficient contributor, not a supervised resource.

Evaluating Candidates and Choosing the Right Partner

Signals That Reveal True Editing Capability (and Signals That Should Worry You)

Red Flags:

  • Claims to "never miss errors" or insists on perfection. No professional editor makes this claim. Proofreaders and editors catch errors; they do not eliminate them entirely.
  • Cannot cite specific style guides or explain how they switch between them. If an editor has spent twenty five years in publishing but cannot name the guides they use, that is a problem.
  • Refuses a sample edit or fails to provide tracked changes showing their process. Transparency about editing decisions is an industry standard expectation.
  • Lacks examples of handling complex content, tight deadlines, or cross functional collaboration. Interested candidates should be eager to discuss past challenges.

Green Flags:

  • References concrete experience with multiple style guides (Chicago Manual, AP Press Stylebook, regulatory standards) and can explain when each applies.
  • Demonstrates judgment in retaining voice while ensuring clarity. Knows when not to change a writer's phrasing. Copy editing helps maintain the author's voice while improving text, and a good copyeditor understands this instinctively.
  • Speaks clearly about fact checking processes, domain research, and how they handle AI assisted content (spotting hallucinations, verifying claims, maintaining brand voice).
  • Shows comfort with relevant tools, strong collaboration examples, and a willingness to own the style guide and elevate the entire team's output. Seek an editor with genre and niche expertise relevant to your project.

How SoftDoes Removes the Risk from Your Hiring Decision

Finding, vetting, and retaining a senior copy editor is time consuming. SoftDoes removes the friction by giving you access to carefully vetted senior talent across North America through a team delivery model, not isolated freelancers. This means continuity, peer support, and coverage when someone is unavailable.

Through our services, you get:

  • Pre screened editors with domain experience. Every candidate goes through portfolio review, a technical editing test with seeded errors, a domain specific sample, and interviews that test judgment under real world scenarios.
  • Replacement guarantees. If the editor is not the right fit, SoftDoes provides a replacement without restarting the search from scratch.
  • Flexible engagement models. Scale from a single specialist to a full editorial pod depending on your content volume and business stage. Whether you need a dedicated hire, a contract resource, or an integrated freelance team, the model adapts to you.
  • Structured onboarding support. Every placement comes with a 30/60/90 day ramp plan so the editor contributes value immediately rather than drifting through a vague trial period.

For companies that also need support with corporate communications leadership, SoftDoes offers dedicated placements for communications managers who can work alongside your editorial hires.

Take the Next Step Toward Better Content Quality

If you have decided that your content deserves a professional editor who understands your domain, your tools, and your audience, the next step is straightforward. Schedule a discovery call with SoftDoes to define your editorial requirements, review matched candidates within days, and onboard a copy editor who is ready to improve every piece of written material your company produces.

No lengthy RFP process. No guesswork. Just a clear path from requirement to results.

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