micro1Coding & software eval
CFD Engineer
up to $150/hr
About this role, in micro1's words
micro1 is engaging CFD Engineers to contribute to a project focused on advancing the capabilities of AI technologies within engineering simulation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity enables you to impact the future of engineering by ensuring that AI systems can accurately interpret, solve, and explain complex computational fluid dynamics challenges across mesh generation, turbulence modeling, multiphase and heat-transfer simulation, solver setup, and verification & validation. Contributors who value accuracy, technical depth, and clear communication—both written and verbal—will find this engagement uniquely rewarding and influential.
What you'll do
Scope of Work
- Evaluate and solve advanced CFD challenges involving mesh generation, turbulence modeling, multiphase flow, heat transfer, and solver configuration.
- Review and assess AI-generated technical responses for correctness, accuracy, and engineering integrity.
- Apply practical engineering judgment to simulation scenarios and theoretical fluid-dynamics questions.
Show all 7 itemsHide the other 4 in Scope of Work
- Analyze and troubleshoot CFD problems using best practices such as mesh independence, turbulence model selection, boundary-condition specification, and convergence analysis.
- Contribute domain expertise to refine and inform the reasoning capabilities of AI in computational fluid dynamics.
- Document feedback and provide clear written and verbal explanations that enhance AI learning and performance.
- Collaborate remotely within a distributed network of technical experts and project participants.
Candidate background
Preferred Qualifications
- Bachelor’s degree or higher in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, or a related field with a focus on fluid dynamics or thermofluids; or equivalent practical experience (3+ years) in CFD.
- At least 3 years of hands-on experience conducting and validating CFD simulations, including mesh generation, solver setup, turbulence modeling, multiphase/heat-transfer analysis, or post-processing in industries such as aerospace, automotive, energy, marine, HVAC, process, or biomedical.
- Deep understanding of Navier-Stokes equations, turbulence modeling (RANS, LES, DES), meshing strategies, boundary-condition specification, and verification & validation practices.
Show all 7 itemsHide the other 4 in Preferred Qualifications
- Proven ability to analyze and validate fluid flow, heat-transfer, and multiphysics problems using CFD tools, cross-referencing with experimental or analytical data.
- Familiarity with relevant standards and practices (e.g., ASME V&V 20, AIAA CFD verification & validation, ITTC procedures).
- Excellent English proficiency with outstanding written and verbal communication skills.
- Experience with CFD software (such as ANSYS Fluent, STAR-CCM+, OpenFOAM, COMSOL, or Converge) is a strong plus, as is a documented history of problem-authoring, technical committee service, competition leadership, or peer-recognized contributions in the CFD community.
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: CFD Engineer
Role Type: Contractor
Location: Remote
micro1 is engaging CFD Engineers to contribute to a project focused on advancing the capabilities of AI technologies within engineering simulation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity enables you to impact the future of engineering by ensuring that AI systems can accurately interpret, solve, and explain complex computational fluid dynamics challenges across mesh generation, turbulence modeling, multiphase and heat-transfer simulation, solver setup, and verification & validation. Contributors who value accuracy, technical depth, and clear communication—both written and verbal—will find this engagement uniquely rewarding and influential.
Scope of Work
• Evaluate and solve advanced CFD challenges involving mesh generation, turbulence modeling, multiphase flow, heat transfer, and solver configuration.
• Review and assess AI-generated technical responses for correctness, accuracy, and engineering integrity.
• Apply practical engineering judgment to simulation scenarios and theoretical fluid-dynamics questions.
• Analyze and troubleshoot CFD problems using best practices such as mesh independence, turbulence model selection, boundary-condition specification, and convergence analysis.
• Contribute domain expertise to refine and inform the reasoning capabilities of AI in computational fluid dynamics.
• Document feedback and provide clear written and verbal explanations that enhance AI learning and performance.
• Collaborate remotely within a distributed network of technical experts and project participants.
Preferred Qualifications
• Bachelor’s degree or higher in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, or a related field with a focus on fluid dynamics or thermofluids; or equivalent practical experience (3+ years) in CFD.
• At least 3 years of hands-on experience conducting and validating CFD simulations, including mesh generation, solver setup, turbulence modeling, multiphase/heat-transfer analysis, or post-processing in industries such as aerospace, automotive, energy, marine, HVAC, process, or biomedical.
• Deep understanding of Navier-Stokes equations, turbulence modeling (RANS, LES, DES), meshing strategies, boundary-condition specification, and verification & validation practices.
• Proven ability to analyze and validate fluid flow, heat-transfer, and multiphysics problems using CFD tools, cross-referencing with experimental or analytical data.
• Familiarity with relevant standards and practices (e.g., ASME V&V 20, AIAA CFD verification & validation, ITTC procedures).
• Excellent English proficiency with outstanding written and verbal communication skills.
• Experience with CFD software (such as ANSYS Fluent, STAR-CCM+, OpenFOAM, COMSOL, or Converge) is a strong plus, as is a documented history of problem-authoring, technical committee service, competition leadership, or peer-recognized contributions in the CFD community.
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 Coding & software eval 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: 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, $150, is in the top quarter. Of the 140 distinct rates we count, 122 are lower and 11 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr | 137 | $50 to $400 · median $100 |
| micro1 (this platform) | 45 | $35 to $350 · median $110 |
| Handshake AI | 43 | $47 to $125 · median $80 |
| Meridial (Invisible) | 34 | $22 to $150 · median $60 |
| Mercor | 33 | $60 to $200 · median $105 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 7 Sep 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
- a5de9ba8-ba95-4737-b985-327e48c2b8d9
Pay as the source states it: “micro1 job record, ideal_hourly_rate: $50–$150/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.
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