micro1 is looking for experienced DevOps Engineers to contribute to customer projects involving cloud infrastructure, automation, AI training data, and evaluation of AI-generated technical work. The role is fully remote and focuses on creating realistic DevOps scenarios, developing reference solutions, and evaluating AI-generated outputs.
micro1 DevOps Engineer: Job Overview
| Particular | Details |
|---|---|
| Company | micro1 |
| Job Role | DevOps Engineer |
| Role Type | Contractor |
| Location | Remote |
| Pay | $50–$100/hour |
| Experience | 3+ years |
| Availability | Minimum 20 hours/week |
| Key Skills | Kubernetes, Terraform, CI/CD, Python, Linux |
| Cloud | AWS, GCP, or Azure |
| Other Technologies | Docker, Git, Bash, Go, TypeScript |
| English | Professional written and spoken English |
About micro1
micro1 is an AI-focused data and talent platform that works with experts across areas such as finance, healthcare, STEM, and engineering to create training data, evaluations, and feedback for next-generation AI systems.
The company uses an AI-driven recruitment and vetting process to identify technical experts who can contribute domain-specific knowledge to AI development.
About the Role
As a DevOps Engineer, you will contribute your infrastructure and automation expertise to customer projects designed to improve how AI systems learn and perform.
The role is particularly focused on production-style DevOps scenarios, including CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response.
No previous AI experience is required. The position emphasizes your existing DevOps expertise and ability to communicate technical concepts clearly.
Key Responsibilities
- Design realistic DevOps tasks based on production-style scenarios.
- Create tasks involving CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response.
- Develop working reference solutions with clear setup and validation instructions.
- Review AI-generated technical outputs and identify errors.
- Provide precise corrections and explain the reasoning behind them.
- Maintain high standards for correctness and reproducibility.
- Provide structured feedback to improve future AI training tasks.
Required Qualifications
Candidates should have:
- 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering.
- Strong programming ability in Python, Go, Bash, or TypeScript.
- Practical experience with CI/CD, including GitHub Actions, GitLab CI, or Jenkins.
- Hands-on experience with Docker and Kubernetes.
- Experience with at least one major cloud platform such as AWS, GCP, or Azure.
- Infrastructure as Code experience using tools such as Terraform, Ansible, Pulumi, or CloudFormation.
- Advanced knowledge of Linux and Git.
- Professional written and spoken English.
- Availability of at least 20 hours per week.
Preferred Skills
The following experience can strengthen a candidate’s profile:
- Prometheus
- Grafana
- Datadog
- OpenTelemetry
- Security and secrets management
- Platform reliability
- Open-source contributions
- Technical writing
- Previous AI training-data or model-evaluation experience
Who Should Apply?
This opportunity is best suited for experienced DevOps, SRE, Platform, and Infrastructure Engineers who have substantial hands-on experience with cloud infrastructure and automation.
Candidates should be comfortable not only building infrastructure but also explaining technical decisions, reviewing solutions, identifying failures, and creating reproducible technical tasks.
Work Location & Availability
The role is fully remote.
Candidates must be available for at least 20 hours per week. The position is offered as a contractor role.
Compensation
The listed compensation is:
$50–$100 per hour
The provided job information does not specify a fixed monthly salary or total contract duration.
Frequently Asked Questions
1. What is the position?
The role is DevOps Engineer at micro1.
2. Is this a full-time employee position?
No. The listing identifies it as a contractor opportunity.
3. Is the role remote?
Yes. The listed location is Remote.
4. How much does the role pay?
The advertised rate is $50–$100 per hour.
5. How much experience is required?
The role requires 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering.
6. Is AI experience mandatory?
No. The listing specifically states that prior AI experience is not required.
7. Which technologies are important?
The core skills include Kubernetes, Terraform, CI/CD, Python, and Linux, along with Docker, Git, cloud platforms, and infrastructure-as-code tools.
8. How many hours per week are required?
Candidates need availability for at least 20 hours per week.
9. What type of work will be performed?
The work involves creating DevOps tasks, developing reference implementations, reviewing AI-generated outputs, identifying failures, and providing structured technical feedback.
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Final Thoughts
This is a senior-level DevOps opportunity rather than an entry-level internship or fresher role. The combination of Kubernetes, Terraform, CI/CD, cloud infrastructure, Linux, and production experience means candidates need substantial practical expertise.
The AI component is interesting because you are essentially applying DevOps knowledge to train and evaluate AI systems, rather than simply operating infrastructure yourself. A rather modern way for machines to ask humans how to do the jobs they may eventually try to automate. Progress, apparently, has a sense of humor.