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Remote Software Engineering Teaching Jobs in Ohio

micro1 AI

AI Software Engineering Consultant

Columbus, OH · Remote

$100 - $230/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for ...

micro1 AI

Software Engineer - AI Trainer

Columbus, OH · Remote

$100 - $230/hr

Software Engineering Job Type: Contractor (10-15 hours per week) Location: Remote Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems ...

ERP Suites

AI Software Engineer

Loveland, OH · On-site +1

This role blends software engineering, AI/ML implementation, systems integration, and production ... Although the position will be remote, there might be some occasional travel to ERPS facilities or ...

CHAMPtitles

Software Engineering Team Lead (UI)

Cleveland, OH · On-site +1

$100K - $134K/yr

As a UI Software Engineering Team Lead, you will work and lead a group of frontend developers using ... office)/Remote if located outside of Cleveland CHAMPtitles is an Equal Opportunity Employer.

SciTec

Senior Software Engineer

Dayton, OH · On-site +1

$119K - $157K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation ... Promote strong engineering practices, including testing, documentation, and maintainability

SciTec

Sr. Staff Software Engineer

Dayton, OH · On-site +1

$119K - $157K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation ... Promote strong engineering practices, including testing, documentation, and maintainability

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AI Software Engineering Consultant

AI Software Engineering Consultant

micro1 AI

Columbus, OH • Remote

$100 - $230/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Software Engineering


Job Type: Contractor (10-15 hours per week)

Location: Remote


Job Summary:


We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.


On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security vulnerabilities in code. Your task will be to create a reproducible RL env in which a known CVE is present/injected in the repository and must be fixed by the model.


As an expert you will be creating Reinforcement Learning Environments which test and AI model’s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.


Required Skills and Qualifications:


  1. 3+ years of hands-on software engineering experience.
  2. Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, , Java, C++, Go or Rust
  3. A Cybersecurity/SecOps background or exposure is highly preferred
  4. Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
  5. Ability to explain complex engineering decisions clearly and objectively.
  6. Comfortable reading and reasoning through unfamiliar code or technical requirements


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.


Apply