AI Trainer (Engineering Sciences) - Remote
First seen by Alion on Nov 10, 2026.
AI TRAINER (ENGINEERING SCIENCES) - REMOTE
Location: Global, Fully Remote
Employment Type: Contractor
Time Commitment: 15+ hours per week
Schedule: Flexible
Compensation: $60-$120/hour equivalent, paid per accepted task
ABOUT THE ROLE
We are seeking Computational Engineers with prior professional AI-training or model-evaluation experience to support a project focused on improving advanced AI systems.
You will apply your engineering expertise and programming skills to develop challenging technical tasks, evaluate model-generated code and analyses, identify failures, and establish objective standards for correct solutions. Candidates should have substantive experience training or evaluating AI systems on engineering or technical content.
KEY RESPONSIBILITIES
Create realistic computational engineering tasks that challenge advanced AI models.
Develop task instructions, reproducible environments, reference solutions, and evaluation criteria.
Evaluate model-generated code, calculations, simulations, designs, analyses, and technical deliverables.
Identify technical errors and assess the accuracy, reliability, and reproducibility of results.
REQUIRED QUALIFICATIONS
Prior paid experience training, evaluating, benchmarking, or improving AI systems on engineering or technical tasks.
Deep expertise in at least one relevant engineering specialization.
Strong programming or scripting ability, preferably in Python.
Hands-on experience with computational methods for engineering analysis, simulation, modeling, optimization, testing, automation, or data processing.
Experience creating or validating technical results with clear, reproducible answers.
RELEVANT ENGINEERING SPECIALIZATIONS
Mechanical and aerospace engineering.
Electrical and computer engineering.
Electronics and embedded systems.
Chemical and process engineering.
Civil and structural engineering.
Manufacturing and industrial engineering.
Robotics and controls.
Energy systems.
Biomedical engineering.
PUBLIC PROOF OF SKILL
Applicants should provide verifiable evidence of their expertise, such as:
Designs taken into production.
Simulations validated against test data.
Complex engineering failures personally diagnosed.
Patents, publications, or technical reports.
Public engineering code, scripts, models, or simulations.
Open-source hardware or engineering software contributions.
Engineering competition results.
Reproducible notebooks, benchmarks, or technical projects.
Confidential employer or customer materials must not be shared.
PREFERRED QUALIFICATIONS
Experience creating AI-training tasks, reference solutions, rubrics, graders, or benchmark problems.
Experience reviewing technical submissions from other AI trainers.
A master's degree, PhD, or substantial professional experience in a relevant engineering discipline.
Experience with command-line tools, scripting interfaces, configuration files, solver APIs, or programmatic engineering software.
Experience validating computational results against calculations, simulations, measurements, or physical tests.
Experience with long-horizon or agentic AI evaluations.
Availability to begin immediately.
APPLICATION PROCESS
Submit your application, AI-training experience, engineering specialization, and public technical evidence.
Complete an AI interview covering technical and integrity checks.
Undergo a hiring-manager review.
Complete project onboarding and begin your first assigned task if selected.
COMPENSATION AND WORK ARRANGEMENT
Compensation is output-based, with an estimated equivalent of $60-$120 per hour. Payment is made for tasks that meet project specifications and quality requirements. Task availability and completion time may vary.
This is a global, fully remote contractor opportunity with a flexible schedule and a minimum commitment of 15 hours per week.