micro1Domain experts
Senior Technical Architect
up to $130/hr
About this role, in micro1's words
In this role, you'll apply your 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.
What you'll do
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.
Show all 5 itemsHide the other 2 in Responsibilities
- Develop deterministic integration, load, security, failure-injection, deployment, and recovery tests.
- Debug environments, document technical decisions, and review tasks created by other experts.
Candidate background
What this role asks for
- Cloud Benchmark Task…
- Cloud and Distributed…
- Production Infrastructure…
Read from the posting's own words: show the exact sentences
- Cloud Benchmark Task…: “listed by the platform under required skills: Cloud Benchmark Task Authoring”
- Cloud and Distributed…: “listed by the platform under required skills: Cloud and Distributed Systems Architecture”
- Production Infrastructure…: “listed by the platform under required skills: Production Infrastructure Ownership”
Quoted from selected sections of micro1's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in micro1's words
Posted by micro1, reproduced here so you can judge the role before clicking. Original posting ↗
Role Title: Technical Architect
Role Type: Contractor
Location: Remote
In this role, you'll apply your 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 technical architecture, 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.
Working with micro1Pay, getting started and work, from micro1's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Paid in US dollars twice a month through Deel, usually landing around the 5th and the 20th. Nothing is paid until Deel's identity check is done. library.micro1.ai/working/faqs, library.micro1.ai/working/payroll-policy
- Before your first paid task
- An AI interview with micro1's recruiter Zara, then your profile, ID verification, a KarmaCheck background check and the Deel contract. Some pipelines add a quiz or test task. micro1.ai/experts, micro1.ai/ai-interview-guide, library.micro1.ai/getting-started/next-steps-after-certif..., library.micro1.ai/working/faqs, library.micro1.ai/working/what-to-expect
- How much work
- Certification makes you eligible but does not guarantee placement. micro1's FAQ puts the usual commitment at about 15 to 20 hours a week, depending on the client. micro1.ai/experts, library.micro1.ai/working/faqs
- Contract
- Independent contractor, with the contract issued through Deel. library.micro1.ai/policies/understanding-your-expert-agre..., library.micro1.ai/working/deel
Read on the pages linked above on 23 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
Alex's experience on micro1A personal account, not a promise about your project
Alexruns this site and has worked on micro1 himself. Written 31 Aug 2026.
- Every interview I took used an AI interviewer, and some included a timed business exercise of around 25 minutes.
- On later applications, interview reuse on micro1 was often partial, and I still answered questions about one to three additional skills.
- I entered a requested rate for the job. One listing showed about $180 an hour. I requested about $160 and received the rate I entered. Those amounts are approximate, and this describes my application, not proof that a lower request caused acceptance.
- Onboarding and setup came to about 2 hours, with clear materials. Of the three platforms I worked on, it was the easiest transition into work. That is an estimate from my projects, not a platform average.
- On my micro1 project, Hubstaff showed time and mouse or keyboard activity, not screenshots, app names or website history. That describes what I saw, not every possible setup.
- I was paid for hours logged, once every 14 days, and I have not experienced late or incorrect payments. That was my arrangement.
One person's applications, not a promise about yours.
What happens after you apply, first-handHow does the pay compare?Across Domain experts roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from micro1's posting. How we count.
Pay across the field: Domain experts
Across 692 roles in this field with a stated hourly rate in US dollars, on 18 platforms, the middle half pays $65 to $130 an hour at the top of the range, and the median is $100. This role's top rate, $130, is in the top quarter. Of the 258 distinct rates we count, 192 are lower and 61 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr | 149 | $24 to $200 · median $80 |
| micro1 (this platform) | 129 | $28 to $400 · median $110 |
| AfterQuery | 88 | $45 to $175 · median $100 |
| Handshake AI | 79 | $30 to $300 · median $85 |
| Mercor | 78 | $55 to $450 · median $120 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 24 Aug 2026, and still on micro1's list when we last read it on 13 Oct 2026.
- The listed pay has not changed since then.
- Posted by micro1
- First seen by AIPayList
- Last seen live
- Listing ID
- cf633740-7783-442e-881b-bbad6912770b
Pay as the source states it: “micro1 job record, ideal_hourly_rate: $60–$130/hr”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
Keep exploring
More like this
Related field, different requirements. Check each role's own page before you apply.