Senior Platform Engineer
Micro1 • Remote
Education
Any
Type
per_task
Pay Rate (by country)
$60–$130/task
Actively Hiring
5 openings
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What We Know About This Role
- Interview
- Required i As stated in the listing: “Complete AI interview (aprox. 30 minutes), reviewed by recruiters)”
- Start timeline
- Starts within 24–48 hrs of onboarding
About this Role
From the Micro1 listing
Role Title: Senior Platform Engineer Role Type: Contractor Location: Remote In this role, you'll apply your cloud infrastructure and platform engineering expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world engineering input. No prior experience in AI is required—your domain knowledge and hands-on production experience are what matter. As an expert, you will create Reinforcement Learning Environments that test an AI model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. You will develop realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery, then build reproducible environments, deterministic validation tests, golden reference solutions, and intentionally defective variants.
Responsibilities
- Create realistic cloud infrastructure tasks involving distributed systems, networking, security, scalability, and reliability.
- Build reproducible, containerized environments with valid reference solutions and intentionally defective variants.
- Define measurable requirements across infrastructure configuration, deployed topology, and runtime behavior.
- Develop deterministic integration, load, security, failure-injection, deployment, and recovery tests.
- Debug environments, document technical decisions, and review tasks created by other experts.
Required Skills and Qualifications
- Senior-level cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE experience, including personal ownership of a production platform.
- Strong knowledge of distributed systems, scalable APIs, queues, autoscaling, durable storage, and partial-failure scenarios.
- Practical experience with IAM, private networking, least-privilege access, and service-to-service security.
- Experience with observability, measurable SLOs, rolling deployments, rollback strategies, and disaster recovery.
- Ability to write infrastructure automation or testing tools and debug containerized environments using a relevant programming language.
Preferred Qualifications
- Experience with Terraform or OpenTofu.
- Experience with AWS, Azure, GCP, Kubernetes, or multi-cloud infrastructure.
- Experience building internal developer platforms, edge infrastructure, or shared platform services.
- Experience with chaos engineering, fault injection, local cloud emulators, or resilience testing.
- Experience creating technical evaluations, automated grading systems, or AI environments is helpful but not required.
Process
- Apply to the role, filling out the screening questions
- Complete AI interview (aprox. 30 minutes), reviewed by recruiters)
- Hiring Manager review
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.
Requirements
- Cloud Benchmark Task Authoring
- Cloud and Distributed Systems Architecture
- Production Infrastructure Ownership
- Must be eligible to work in Remote
Why This Role
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.
Skills & Categories
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Frequently Asked Questions
Can I apply to Micro1 from outside the US or UK?
Yes. Micro1 accepts applicants from most countries worldwide, unlike DataAnnotation or Outlier, both of which cap access to a handful of English-speaking countries. Most roles still require strong written and spoken English.
Does Micro1 monitor your computer while you work?
On many projects, yes, through time-tracking tools that take periodic screenshots to verify active hours. Check the specific project's requirements before accepting if desktop monitoring is a dealbreaker.
What does the Micro1 application process look like?
Expect a screening interview with Zara, Micro1's AI recruiter. Prepare for it like a real video call: good lighting, clear audio, verbal answers to technical questions. A human manager reviews the recording afterward, and some roles add a short skills assessment on top.
Is AI training work the same as traditional consulting?
No. Instead of client deliverables, you're given complex scenarios to evaluate: grading the AI's logic, correcting its hallucinations, and supplying expert-level reasoning it doesn't have on its own. The job is closer to teaching than consulting.
Why do these AI training roles pay so much?
Because general knowledge isn't what's being tested. The model already knows the basics; what it needs is expertise on edge cases, the rare, difficult, highly technical judgment calls only a senior professional in the field would make correctly.
What does the day-to-day workload look like for elite-expert AI training roles?
Slow and deep, not fast and repetitive. A single task can take 45-60 minutes of researching citations or verifying complex calculations. Quality is what's being measured here, not throughput.
What does STEM work look like for a Senior Platform Engineer?
Tasks here are scoped to STEM, not generic labeling. As a Senior Platform Engineer, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.
What does the 'openings' count on this listing mean?
It's Micro1's live count of how many candidates it's still trying to place for this specific role, 5 right now, not a countdown on your individual application. A higher number signals more active demand; it doesn't lower the bar for acceptance.
How does per-task pay translate to an hourly rate?
It doesn't directly, that's the catch. Each task has a listed price and an estimated completion time, but your actual effective rate depends on how fast you work. If a task is estimated at 20 minutes and pays $8, that is $24/hr for a fast worker and $12/hr for a slow one. Track your actual time on the first few tasks before treating the listed rate as your real hourly income.
What happens when I click Apply on this listing?
You'll be taken to Micro1's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Is there an interview?
Yes. Complete AI interview (aprox. 30 minutes), reviewed by recruiters)