AI Trainer (Engineering Sciences) - Remote

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

1. Submit your application, AI-training experience, engineering specialization, and public technical evidence.

2. Complete an AI interview covering technical and integrity checks.

3. Undergo a hiring-manager review.

4. 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.