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Remote Fluid Engineering Jobs in Texas (NOW HIRING)

Your deep expertise in fluid dynamics, thermodynamics, structural mechanics, and more will be used ... Remote * Commitment : 10-40 hours/week What You'll Do * Design Advanced Engineering Problems ...

Application Security Engineer

Dallas, TX · Remote

$58.25 - $78/hr

Remote Duration: Fulltime Skills: System Z Salary: 100K-120K/Year Roles and Responsibilities: Must ... the fluid continuity of compliance programs across the enterprise Number of years working with:

PLANO, TX (Need only locals) Tues Thursday onsite work (Mon & Fri remote) Required Skills Minimum 5 ... in a fluid, fast-changing environment Flexibility to shift priorities and approaches as needed ...

Controls Engineer

Houston, TX · On-site +1

$72 - $110/hr

Essential Skills * 8-10 years of experience in controls engineering. * Strong PLC programming ... Experience with cooling systems, CDUs, or fluid systems. * Experience in commissioning and startup ...

Controls Engineer

Houston, TX · On-site +1

$72 - $110/hr

Essential Skills * 8-10 years of experience in controls engineering. * Strong PLC programming ... Experience with cooling systems, CDUs, or fluid systems. * Experience in commissioning and startup ...

Controls Engineer

Austin, TX · On-site +1

$72 - $110/hr

Essential Skills * 8-10 years of experience in controls engineering. * Strong PLC programming ... Experience with cooling systems, CDUs, or fluid systems. * Experience in commissioning and startup ...

Principal Fuel Systems Engineer (X-BAT)

Dallas, TX · On-site +1

$209.20K - $313.80K/yr

On-site or hybrid work is preferred; however, for highly qualified candidates, a remote arrangement ... S. or M.S. in Aerospace, Mechanical, or related engineering discipline. * 12-15+ years of ...

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Remote Fluid Engineering information

What are the key skills and qualifications needed to thrive as a Remote Fluid Engineer, and why are they important?

To thrive as a Remote Fluid Engineer, you need a solid background in fluid dynamics, mechanical or chemical engineering, and a relevant engineering degree. Proficiency in simulation software like ANSYS Fluent or COMSOL Multiphysics, as well as familiarity with remote collaboration tools, is typically required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for remote work environments. These skills ensure accurate analysis, successful project delivery, and efficient teamwork despite geographical distances.

What are some common challenges faced by remote fluid engineers, and how can they be addressed?

Remote fluid engineers often encounter challenges such as limited access to on-site equipment, difficulties in real-time collaboration with colleagues, and ensuring accurate data transfer between teams. To address these, many teams utilize advanced simulation software, maintain clear communication channels through regular virtual meetings, and establish standardized data-sharing protocols. Additionally, remote engineers can benefit from strong documentation practices and leveraging cloud-based engineering platforms to stay aligned with project goals and updates.

What is remote fluid engineering?

Remote fluid engineering involves the analysis, design, and optimization of systems involving fluids (liquids and gases) by professionals who work remotely, often utilizing advanced simulation software and digital collaboration tools. These engineers may work on projects such as pipelines, HVAC systems, or fluid dynamics in industrial processes, providing solutions without being physically present on-site. This role requires a strong background in fluid mechanics, computational modeling, and effective communication to collaborate with teams across different locations.

What is the difference between Remote Fluid Engineering vs Remote Mechanical Engineering?

AspectRemote Fluid EngineeringRemote Mechanical Engineering
Required CredentialsBachelor's in Mechanical, Civil, or Chemical Engineering; relevant certificationsBachelor's in Mechanical Engineering; certifications vary by specialization
Work EnvironmentDesign, analysis, and simulation of fluid systems remotelyDesign, analysis, and testing of mechanical systems remotely
Industry UsageOil & gas, aerospace, HVAC, energy sectorsManufacturing, automotive, aerospace, consumer products
Search & Comparison IntentOften compared for roles involving fluid dynamics and system designCompared for broader mechanical system roles

Remote Fluid Engineering focuses on fluid systems, requiring expertise in fluid dynamics and related certifications, often within energy or aerospace sectors. Remote Mechanical Engineering covers a wider range of mechanical systems, with similar credentials but broader application areas. Both roles are performed remotely, but their industry focus and technical scope differ.

What are the most commonly searched types of Fluid Engineering jobs in Texas? The most popular types of Fluid Engineering jobs in Texas are:
What are popular job titles related to Remote Fluid Engineering jobs in Texas? For Remote Fluid Engineering jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Remote Fluid Engineering jobs? Cities in Texas with the most Remote Fluid Engineering job openings:

Mechanical Engineering

Alignerr

Dallas, TX • Remote

Full-time

Posted 29 days ago


Job description

Mechanical Engineering - AI Training Specialist
About the Role
What if your engineering knowledge could help shape the next generation of AI? We're looking for mechanical engineers to work with Alignerr - a company partnering with the world's leading AI research labs - to train and improve advanced AI models.
Your deep expertise in fluid dynamics, thermodynamics, structural mechanics, and more will be used to challenge, evaluate, and refine how AI systems reason through complex engineering problems. This is a unique opportunity to apply your technical skills in a high-impact, flexible freelance role.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
  • What You'll Do
    • Design Advanced Engineering Problems
      - Create challenging, domain-specific problems across areas like FEA (Finite Element Analysis), heat transfer, kinematics, fluid mechanics, and material science to rigorously test AI performance.
    • Author Ground-Truth Solutions
      - Develop precise, step-by-step technical solutions and "golden responses" that serve as benchmarks for AI learning and evaluation.
    • Audit AI Reasoning
      - Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO).
    • Identify and Correct Logical Errors
      - Spot flaws in AI reasoning - such as incorrect force distributions or energy conservation violations - and provide structured, actionable feedback to improve model accuracy.
    • Who You Are
      • Advanced Degree
        - Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
      • Domain Expertise
        - Strong foundation in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
      • Strong Technical Writer
        - Able to communicate complex physical phenomena and mathematical concepts clearly and concisely in written form.
      • Detail-Oriented
        - High precision when reviewing mathematical derivations, unit conversions, and physical system constraints.
      • No prior AI experience required
        - if you know engineering, we'll handle the rest.
      • Nice to Have
        • Prior experience with data annotation, quality evaluation, or technical review workflows
        • Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS
        Why Join Us
        • Meaningful work
          - Your expertise directly improves how AI understands and applies engineering principles
        • Fully remote and flexible
          - Work on your schedule, from anywhere
        • Freelance autonomy
          - Choose your hours (10-40/week) with no micromanagement
        • Cutting-edge exposure
          - Get a front-row seat to how advanced large language models are trained and evaluated
        • Ongoing opportunity
          - Strong performers are considered for contract extensions and future projects
        • Global collaboration
          - Work alongside a diverse, expert community contributing to real AI research