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Remote Tcs Software Engineer Jobs in Minnesota (NOW HIRING)

micro1 AI

Software Engineer - AI Trainer

Minneapolis, MN · Remote

$20 - $75/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 ...

Meyers Printing

Systems Software Engineer

Brooklyn Park, MN · On-site +1

$180K - $213K/yr

REMOTE OR ONSITE Why Meyers? At Meyers, we offer more than a job; we offer a chance to be part of a ... The Software Engineer works closely with manufacturing, operations, supply chain, finance, and ...

New

Tennant Company

Senior Software Engineer

Golden Valley, MN · On-site +1

$127K - $168K/yr

Mentor and support other software developers through design collaboration, code reviews, technical ... Hands-on experience leading projects and leading local and remote teams to build, enhance, support ...

Tennant Company

Senior Software Engineer

Golden Valley, MN · On-site +1

$127K - $167K/yr

Mentor and support other software developers through design collaboration, code reviews, technical ... Hands-on experience leading projects and leading local and remote teams to build, enhance, support ...

ProAg

Software Engineer

Maple Grove, MN · On-site +1

Software Engineer III Location: Maple Grove, MN Reports To: Software Development Manager Employment ... Employees report to the office Mondays - Thursdays, with Friday being remote. In this Exciting ...

ProAg

Lead Software Engineer

Maple Grove, MN · On-site +1

$130K - $145K/yr

Lead Software Engineer Location: Maple Grove, MN Reports To: Software Engineering Manager ... Employees report to the office Mondays - Thursdays, with Friday being remote. In this Exciting ...

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Remote Tcs Software Engineer jobs near you
Software Engineer - AI Trainer

Software Engineer - AI Trainer

micro1 AI

Minneapolis, MN • Remote

$20 - $75/hr

Part-time

Posted 19 days ago

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.


A Cybersecurity/SecOps background or exposure is highly preferred


No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.


Key Responsibilities:


  1. Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects.
  2. Review, debug, improve, and explain code across different technical environments.
  3. Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows.
  4. Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience.
  5. Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered.
  6. Collaborate with the customer’s team on technical reviews, implementation decisions, and problem-solving exercises.
  7. Adapt quickly to new codebases, frameworks, and technical requirements.


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, Node.js, Java, C++, Go or Ruby
  3. Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations.
  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


Preferred Qualifications:

  1. Experience with cloud environments such as AWS, GCP, or Azure.
  2. Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations.
  3. Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native.
  4. Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work.
  5. Experience mentoring engineers, reviewing code, or making architecture decisions.

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