AI Training Expert – Science & Engineering

Recruit Recruit Ltd

. Review and evaluate AI-generated responses to science and engineering prompts, including analyses, calculations, experimental designs, and technical explanations .

Posted 10/26/2026contractRemote • Texas • United StatesJuniorMid-Level💰 $40 - $125 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in evaluating AI-generated technical responses and applying scientific reasoning to complex engineering problems. Proficient in analyzing real-world data and providing clear, expert-level written solutions while maintaining high-quality standards in a remote work environment.

Highest-signal resume keywords

Applied Science Or Engineering ExperienceStatistical And Experimental ReasoningTechnical Writing And Communication SkillsHands-On Technical Work ExperienceFamiliarity With AI/LLM Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Technical Problem DesignData AnalysisExperimental DesignMeasurement Error AnalysisCAD Model AnalysisSimulation Output EvaluationTechnical Explanation WritingGrading Against RubricsCorrective Guidance ProvisionAI Model Evaluation

Soft Skills

Strong Written CommunicationAttention To DetailIndependent Work CapabilityConstructive Feedback ParticipationWillingness To Revise

Tools & Technologies

Cloud File ToolsDesktop ApplicationsBrowser Profile ManagementTest And Measurement FilesLab Records

Certifications & Qualifications

Professional Licensure (PE)Bachelor's Degree Or Higher

Industry Keywords

Mechanical EngineeringElectrical EngineeringCivil EngineeringMaterials ScienceChemical EngineeringEnvironmental SciencePhysicsData JudgmentTechnical AnalysisAI/LLM Familiarity

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Review and evaluate AI-generated responses to science and engineering prompts, including analyses, calculations, experimental designs, and technical explanations
Design realistic and challenging technical problems based on professional experience in science or engineering
Write clear, expert-level solutions and explanations that can serve as model training examples
Grade model outputs against detailed rubrics and identify errors, flawed reasoning, ambiguity, or unsupported conclusions
Provide corrective guidance that improves the accuracy, rigor, and reliability of AI-generated responses
Run tasks against AI models and iterate based on expert reviewer feedback
Apply scientific reasoning, statistical reasoning, experimental reasoning, and data judgment to realistic technical scenarios
Analyze real-world measurement, test, and process data, including instrument data, test and measurement files, CAD models, simulation outputs, and lab records
Follow detailed written instructions precisely, including document and upload format requirements
Maintain consistent quality and throughput throughout project-based sprint engagements while working independently
Explain technical conclusions in complete, clear written English and participate constructively in feedback and revision cycles

Requirements

What you’ll need

Approximately 2+ years of applied science or engineering experience in industry or advanced research
Experience in a science or engineering discipline such as mechanical, electrical, civil, materials, energy, chemical, environmental, physics, or a similar field
An in-progress Bachelor's degree or higher
Undergraduate study does not count toward the experience minimum
Hands-on individual-contributor experience performing technical work such as design, test, process, or analysis rather than working solely in a managerial capacity
Hands-on practice with real-world technical data, including instrument data, test and measurement data, CAD models, simulation outputs, or lab records
Comfort with statistical and experimental reasoning, including experiment design, measurement error, and common statistical traps
Strong written communication skills and the ability to explain complex concepts clearly and concisely
Careful reading of written instructions and willingness to complete feedback and revision cycles
General familiarity with AI/LLM tools at the user level
Baseline tech literacy, including cloud file tools, browser profile management, desktop application installation, and everyday file handling
Ability to work independently in a remote, self-directed environment
Availability for project-based work; no minimum weekly commitment is required
Assessment submissions must reflect the candidate's own expertise; AI or LLM assistance is not permitted and results in disqualification
Preferred: advanced degree
Preferred: professional licensure, including PE

Benefits

Comp & perks

Fully remote, self-directed project-based work
Flexible participation with no minimum weekly commitment
Approximately 10 hours per week recommended as a starting point
Payment through PayPal on a regular cadence
Opportunities to contribute to AI training across generalist and specialized science and engineering projects
Work that applies professional expertise to improve the accuracy and reliability of AI systems
No fees or payments are required from candidates