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Hydraulics Engineer – AI Model Training

SME Careers Remote Posted 2 days ago

Education

Any

Type

Pay Rate

$120/task

Posted

2d ago

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About this Role

If you’re a senior hydraulics engineer who thrives on precision, systems thinking, and technically rigorous problem-solving, this is a unique opportunity to contribute directly to how the next generation of AI systems understand and reason through complex fluid power, hydraulic infrastructure, and flow-control problems. We’re looking for experienced Hydraulics Engineers who can challenge and evaluate advanced language models on job-specific topics. Your work will help strengthen model reasoning, improve technical accuracy, and shape how AI communicates complex engineering concepts. Your expertise as an Hydraulics Engineer will directly help improve the world’s premier AI models and will play an important role in shaping the future of AI.

### Your Profile
- 4+ years of professional experience as a Hydraulics Engineer, Fluid Power Engineer, Hydraulic Systems Engineer, Water Resources Engineer, Mechanical Engineer, Civil Engineer, or closely related technical role.
- Significant hands-on work with hydraulic system design, analysis, troubleshooting, commissioning, testing, or maintenance in industrial, mobile, civil, municipal, or manufacturing environments.
- Deep knowledge of hydraulic circuits, pumps, valves, actuators, reservoirs, accumulators, filtration, hoses, fittings, seals, fluids, pressure control, and flow-control principles.
- Strong understanding of fluid mechanics, pressure loss calculations, pump curves, system efficiency, cavitation, laminar and turbulent flow, and hydraulic power transmission.
- Bachelor’s degree in Mechanical Engineering, Civil Engineering, Agricultural Engineering, Water Resources Engineering, or a closely related field; a master’s degree or professional engineering license is preferred for highly specialized work.
- Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.

### Key Responsibilities
- Evaluate AI-generated responses for technical accuracy, completeness, and practical relevance across hydraulics engineering topics.
- Challenge advanced language models with complex hydraulics engineering prompts involving fluid mechanics, pressure-flow relationships, system sizing, component selection, and failure diagnosis.
- Review and refine AI-generated prompts, solutions, calculations, and explanations to ensure they reflect sound engineering judgment.
- Provide structured feedback on model reasoning, identifying where outputs are incomplete, unsafe, overly generalized, or technically incorrect.
- Create high-quality examples of ideal engineering responses that demonstrate clear assumptions, step-by-step reasoning, and defensible conclusions.
- Support benchmarking efforts by helping define what strong, acceptable, and weak AI performance looks like in hydraulics-related technical tasks.
- Help shape AI communication standards so models explain hydraulics concepts clearly to technical and non-technical audiences.

🌍 Geographic Availability
This role is available to qualified experts globally. However, as a U.S.-based company, SME Careers complies with U.S. export control and sanctions regulations. Eligibility depends on your country of residence and any applicable trade restrictions. Some projects may have additional language or region-specific requirements.

💰 Pay Rate May Vary Based on Your Location
Your actual compensation will be determined based on your location and local market conditions. See regional job listings for localized pay information, or the application process will clarify your specific rate.

If you're unsure whether you're eligible, proceed with the application—SME's screening will determine your jurisdiction status and applicable compensation.

Requirements

  • Advanced degree or strong hands-on professional experience in the domain
  • Ability to pass domain-specific qualification assessments
  • Eligible to create a verified account on Deel (for payments/compliance)
  • Proficiency in English (for instructions and feedback)
  • Available to applicants in 40+ countries

Compensation Analysis

Don't just label data—build a career. SME Careers is unique in the AI training space because it offers a transparent growth ladder. High performers aren't just kept in the queue; they are promoted to Quality Analysts and Project Managers. With weekly transparent payments via Deel and the freedom to work on your own schedule, this is built for modern experts who want long-term engagement.

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Frequently Asked Questions

Is there room for advancement?

Yes. This is a key feature of the platform. They explicitly list a career path: Data Trainer -> Quality Analyst -> QA Lead -> Project Manager. Consistent high-quality work can lead to leadership roles.

How do payments work?

Payments are processed weekly through Deel. This ensures tax compliance and allows them to hire freelancers from over 40 countries securely.

Is the work ongoing or project-based?

Work is project-based, which means assignments can vary in duration and availability. However, top performers often get priority access to new projects.

Is this traditional consulting?

Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.

Why is the pay so high?

This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"—the rare, difficult, or highly technical nuances that only a senior professional would know.

What is the workload like?

This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.

Who is behind SME Careers?

SME Careers is the expert talent division of SuperAnnotate, a leading AI data infrastructure platform. They connect domain experts with high-level AI training projects.