MercorCoding & software eval
Software Engineer (AI-Native Platform & Integrations)
up to $110/hr
About this role, in Mercor's words
This is an open application for future contract opportunities that match your background and interests.
What you'll do
Responsibilities
- Ship production features across backend + frontend .
- Design and implement a scalable integrations framework
- Build real-time analytics experiences
Show all 6 itemsHide the other 3 in Responsibilities
- Architect an agentic tool-use layer compatible with MCP-style patterns
- Set up strong engineering hygiene: testing, observability, on-call readiness for the pilot.
- Iterate quickly and pragmatically.
Candidate background
What we’re looking for
- Strong, practical software engineering skills; you can ship end-to-end and unblock yourself.
- Experience building SaaS products with APIs, data models, and production constraints.
- Deep comfort with integrations (OAuth2, webhooks, API pagination, rate limiting, sync semantics).
- “ Vibe coding ” mindset: you use AI tools effectively (Copilot/ChatGPT/etc.) to move fast without sacrificing correctness—good taste around tests, interfaces, and guardrails.
- Familiarity with MCP-style tool interfaces and/or building tool servers.
- Clear communicator who can explain tradeoffs and keep stakeholders aligned.
Quoted from selected sections of Mercor'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 Mercor's words
Posted by Mercor, reproduced here so you can judge the role before clicking. Original posting ↗
About Mercor’s talent network
This is an open application for future contract opportunities that match your background and interests.
Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis. Role Overview
We’re building an AI-native platform that replaces spreadsheet-driven operations with real-time dashboards and agentic workflows . This engineer will own core product delivery end-to-end: platform foundations, integrations, analytics surfaces, and the pilot launch.
What you’ll build
• AI-native platform (core entities, workflows, permissions, multi-tenant foundations)
• Omni-tool integration layer (connectors to common tools; event ingestion; sync; actions)
• Real-time analytics dashboard (live metrics, drill-downs, exports)
• MCP-compatible agentic integration architecture (tool registry, permissions, runtime, observability)
• Pilot launch support with hands-on technical execution (shipping, debugging, iteration with real users)
Responsibilities
• Ship production features across backend + frontend .
• Design and implement a scalable integrations framework
• Build real-time analytics experiences
• Architect an agentic tool-use layer compatible with MCP-style patterns
• Set up strong engineering hygiene: testing, observability, on-call readiness for the pilot.
• Iterate quickly and pragmatically.
What we’re looking for
• Strong, practical software engineering skills; you can ship end-to-end and unblock yourself.
• Experience building SaaS products with APIs, data models, and production constraints.
• Deep comfort with integrations (OAuth2, webhooks, API pagination, rate limiting, sync semantics).
• “ Vibe coding ” mindset: you use AI tools effectively (Copilot/ChatGPT/etc.) to move fast without sacrificing correctness—good taste around tests, interfaces, and guardrails.
• Familiarity with MCP-style tool interfaces and/or building tool servers.
• Clear communicator who can explain tradeoffs and keep stakeholders aligned.
About Cincinnatus
Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.
Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.
Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus.
Equal Employment Opportunity
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.
Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
Working with MercorPay, getting started and work, from Mercor's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Hourly work is paid every Wednesday for the previous week, through Stripe Connect or Wise, whichever Mercor assigns to your region. Stripe holds the first payout for 7 days. talent.docs.mercor.com/how-to/payments, talent.docs.mercor.com/policies/contracts
- Before your first paid task
- An AI interview of about 20 minutes, reused for other roles that need it, then any assessments the role asks for. Before logging hours: ID verification through Persona, a tax form, the contract documents, the Insightful time tracker, and a background check the onboarding guide says usually takes one to two weeks. talent.docs.mercor.com/support/ai-interview, talent.docs.mercor.com/how-to/apply, talent.docs.mercor.com/policies/contracts, talent.docs.mercor.com/how-to/id-verification, talent.docs.mercor.com/working/project-onboarding
- How much work
- Hearing back after the AI interview usually takes 2 to 4 weeks. When a project ends you are not moved to a new one automatically. talent.docs.mercor.com/support/ai-interview, talent.docs.mercor.com/support/project
- Contract
- Independent contractor with Mercor.io Corporation of San Francisco, which deducts no taxes. talent.docs.mercor.com/policies/taxes-work-authorization, talent.docs.mercor.com/support/legal
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 MercorA personal account, not a promise about your project
Alexruns this site and has worked on Mercor himself. Written 31 Aug 2026.
- Every interview I took used an AI interviewer. They always checked my microphone and camera and asked me to share my screen, and some included a timed exercise of around 25 minutes.
- Many later applications needed no new interview from me. With the required assessments complete and no other outstanding steps, applying could be close to one click.
- The application I checked did not ask for a rate. My offer matched my minimum in Work Preferences. That does not establish that Mercor always caps higher offers at your preference.
- Onboarding and setup came to about 4 hours, with more security and tool setup. Of the three platforms I worked on, it was the most complicated for me. That is an estimate from my projects, not a platform average.
- Mercor required the Insightful tracker on my project. I observed app and website usage monitoring, and I am unsure which screenshot settings applied, so check the configuration.
- I was paid for hours logged, once every 14 days, and I have not experienced late or incorrect payments. That was my arrangement. Mercor's current documentation describes weekly payout cycles, so check your own offer.
One person's applications, not a promise about yours.
What happens after you apply, first-handHow does the pay compare?Across Coding & software eval roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Mercor's posting. How we count.
Pay across the field: Coding & software eval
Across 393 roles in this field with a stated hourly rate in US dollars, on 14 platforms, the middle half pays $65 to $120 an hour at the top of the range, and the median is $95. This role's top rate, $110, is in the middle half. Of the 140 distinct rates we count, 90 are lower and 46 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr | 137 | $50 to $400 · median $100 |
| micro1 | 46 | $35 to $350 · median $110 |
| Handshake AI | 43 | $47 to $125 · median $80 |
| Meridial (Invisible) | 34 | $22 to $150 · median $60 |
| Mercor (this platform) | 32 | $60 to $200 · median $105 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 19 Aug 2026, and still on Mercor's list when we last read it on 13 Oct 2026.
- Posted by Mercor
- First seen by AIPayList
- Last seen live
- Listing ID
- list_AAABnJxZFVfIEAN0_ZNOCrGk
Pay as the source states it: “70–110 USD HOUR”.
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.
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