AI Training Expert – Science & Engineering (contract, Remote)

Civil Recruit; Houston (TX); Remote; USD 55,000 - 172,000; Full time

Benefits offered by this job

Fully remote contract

Project-based work

Pay via PayPal

Flexible hours

Job summary

Civil Recruit is seeking an AI Training Expert – Science & Engineering for remote, contract-based work. You will evaluate AI responses, design challenging technical problems, and write expert explanations to train models.

The role emphasizes independent, self-directed work with strong written communication and a background in science or engineering. Responsibilities include grading outputs against rubrics, providing corrective guidance, and iterating based on expert feedback.

Qualifications

• Approximately 2+ years of applied science or engineering experience in industry or research.
• In-progress Bachelor's degree or higher; undergraduate study does not count toward the experience minimum.
• Hands-on experience with real-world technical data and instruments.
• Ability to work independently in a remote, self-directed environment.

Responsibilities

• Review and evaluate AI-generated responses to science and engineering prompts and analyses.
• Design realistic technical problems based on professional experience in science or engineering.
• Write clear, expert-level solutions and explanations for training AI models.
• Grade model outputs against rubrics and identify errors, ambiguity, or unsupported conclusions.
• Provide corrective guidance to improve accuracy and reliability of AI responses.
• Run tasks against AI models and iterate based on expert feedback.
• Analyze real-world measurement, test, CAD models, and simulation outputs.
• Follow detailed written instructions and maintain quality across project-based sprints.
• Explain technical conclusions in clear written English and participate in revision cycles.

Skills

Applied science

Engineering experience

Remote work ability

Strong written communication

Education

In-progress Bachelor's degree or higher

Tools

AI/LLM tools

Job description

AI Training Expert – Science & Engineering (contract, Remote)

Job Openings AI Training Expert – Science & Engineering (contract, Remote)

About the job AI Training Expert – Science & Engineering (contract, Remote)

About the role

We are seeking experienced science and engineering professionals for fully remote, project-based contract work training and improving AI systems. Contributors evaluate AI-generated responses, create realistic technical problems, write expert explanations, and grade model outputs against detailed rubrics. The role requires approximately 2+ years of applied science or engineering experience, an in-progress Bachelor's degree or higher, hands-on experience with real-world technical data, strong written communication, and independent working ability.

Key Responsibilities

• 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.

Required Qualifications

• 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.
• Ability to work independently in a remote, self-directed environment.
• Availability for project-based work; no minimum weekly commitment is required, although approximately 10 hours per week is recommended as a starting point.
• Assessment submissions must reflect the candidate's own expertise. AI or LLM assistance is not permitted and results in disqualification.

Benefits and Perks

• Fully remote, self-directed project-based work.
• Flexible participation with no minimum weekly commitment and approximately 10 hours per week recommended as a starting point.
• Pay of $40–$125+ per hour on a project basis.
• 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.

Skills

• Scientific reasoning
• Data judgment
• Engineering analysis
• Applied problem-solving
• Real-world measurement
• Test data analysis
• Process data analysis
• Statistical reasoning
• Experimental reasoning
• Measurement error
• Data analysis
• AI/LLM tools
• Evaluating AI-generated responses
• Annotating AI-generated responses
• Designing technical problems
• Writing expert-level solutions and explanations