Hydraulics Engineer - AI Model Training – Remote

YO IT Consulting

United States

On-site

USD 80,000 - 110,000

Full time

12 days ago
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Job summary

YO IT Consulting is looking for a Senior Hydraulics Engineer to evaluate and refine AI-generated content in hydraulics engineering. The role requires over 4 years of experience and a solid background in hydraulic systems design and fluid mechanics. Responsibilities include providing technical feedback on AI responses and ensuring accuracy in engineering communications. This remote position allows the successful candidate to shape the future of AI in technical fields while leveraging their hydraulic engineering expertise.

Qualifications

  • 4+ years of professional experience in hydraulics or related fields.
  • Hands-on experience with hydraulic system design and troubleshooting.
  • Deep knowledge of hydraulic circuits and flow-control principles.

Responsibilities

  • Evaluate AI-generated responses for technical accuracy.
  • Challenge advanced language models with hydraulics engineering prompts.
  • Provide structured feedback on model reasoning.

Skills

Hydraulic system design
Fluid mechanics
Pressure control
AI data training

Education

Bachelor’s degree in Mechanical Engineering
Master’s degree or professional engineering license

Job description

Job Type

Contractor

Location

Remote

Role Description

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.
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