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How much do remote workflow developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote workflow developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is the difference between Remote Workflow Developer vs Remote Business Analyst?

AspectRemote Workflow DeveloperRemote Business Analyst
Required CredentialsTechnical certifications, programming skillsBusiness analysis certifications, analytical skills
Work EnvironmentCollaborates with developers, IT teamsWorks with stakeholders, project managers
Industry UsageTech, software development, automationFinance, healthcare, consulting
Search & Comparison IntentFocus on automation, workflows, scriptingFocus on business processes, requirements

The Remote Workflow Developer primarily focuses on designing and implementing automated workflows using technical skills, while the Remote Business Analyst concentrates on analyzing business needs and translating them into solutions. Both roles often collaborate but serve different functions within project teams, with the Workflow Developer emphasizing technical automation and the Business Analyst emphasizing process improvement.

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Remote Workflow Developer jobs near you
Infographic showing various Remote Workflow Developer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.
OpenClaw Workflow Engineer (Remote)

OpenClaw Workflow Engineer (Remote)

Outlier AI

Chicago, IL • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About the Project

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw?

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.

Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.

Ideal Qualifications

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration.
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.

Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
  • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

Apply