AI training jobs for engineers

Translate engineering requirements into SysML v2 textual models and create evaluation rubrics for assessing AI-generated SysML v2 models.

Design embedded systems and kernel engineering tasks, write solutions, and develop rubrics assessing correctness, safety and performance.

Create CAD modeling tasks and reference models, and develop rubrics assessing geometric accuracy and manufacturability.

Review and create expert content on semiconductor fab hazards, emergency procedures, and safety documentation.

Create self-contained hardware engineering problems and develop reference solutions using engineering calculations, simulations, or scripts.

Develop SysML v2 reference models and create evaluation rubrics to assess the correctness of AI-generated SysML v2 models.

Review mechanical engineering tasks and reference outputs, checking calculations, design assumptions, and conclusions against applicable standards.

Review electrical engineering tasks and reference outputs for technical accuracy and check engineering calculations against applicable standards.

Review civil engineering tasks and reference outputs for technical accuracy and check engineering calculations against applicable standards.

Build reproducible network topologies and device configurations, and develop automated checks that verify routing, policy enforcement, and failover behavior.

Build circuit and power systems tasks and develop reference solutions with verification code that checks outputs.

Create engineering problems with native geometry and loads, and build analysis models with reference solutions.

Construct enterprise mechanical engineering scenarios and author rubrics that distinguish authentic engineering judgment from generic textbook or coursework-level recall.

Construct enterprise electrical engineering scenarios and author rubrics that distinguish authentic engineering judgment from generic textbook or coursework-level recall.

Design civil engineering scenarios, draft reference outputs, and write rubrics capturing how senior civil engineering leaders think.

Design and simulate electronic circuits in Ngspice, performing AC, DC, and transient analysis, and explain your workflows step by step.

Design and simulate analog, digital, and mixed-signal circuits in Qucs-S, running AC, DC, and transient analyses.

Create and simulate electronic circuits in LTspice and perform transient, AC, and DC circuit analysis.

Create and edit 3D CAD models of mechanical parts and assemblies, then document workflows step by step.

Write realistic chemical engineering tasks from your own work and judge frontier AI model responses against professional standards.

Turn robotics problems from your own work into realistic tasks and judge frontier AI model responses.

Write realistic tasks from your own work and judge frontier AI model responses against professional standards.

Create and modify 3D CAD models of mechanical parts and document the design process step by step.

Create and edit electronic circuit designs in DesignSpark PCB, including schematics, component placement, and PCB layouts, and explain each step.

Define evaluation scope and standards for nuclear and radiological safety, and develop frameworks for safe abstraction of sensitive information.

Review mechanical installation drawings and millwright documentation, and answer trade-specific questions from real project documents with step-by-step reasoning.

Write realistic mechanical engineering problems and evaluate AI-generated analysis and designs for errors, ignored failure modes, and manufacturability.

Write realistic electrical engineering problems with expert answers and evaluate AI-generated analysis and designs for errors and unrealistic assumptions.

Evaluate AI-generated air defense and missile scenarios and provide clear written feedback on technical inaccuracies.

Create, solve, review, and validate engineering tasks by translating physical requirements into computational models and running simulations.

Solve and validate aerodynamic problems by running CFD workflows and using Python to automate preprocessing and postprocessing.

Build realistic electrical engineering tasks, give them to frontier AI models, and write grading rubrics for them.

Build and operate Kubernetes-based production infrastructure on AWS, and investigate production incidents to implement durable fixes.

Analyze multi-part mechanical assemblies and write challenging technical questions with answers validated directly from CAD models.

Review advanced machining drawings and GD&T specifications, and evaluate construction plan sheets for potential issues or missing information.

Review and annotate aircraft maintenance manuals and evaluate borescope engine inspection data, identifying anomalies and recommending corrective actions.

Review PCB CAM and Gerber files for manufacturability and quality, and inspect PCB assembly builds visually.

Build mechanical engineering tasks, give them to AI models, and write grading rubrics for the results.

Produce detailed 2D and 3D CAD models and engineering drawings, applying GD&T and tolerancing for manufacturing.

Classify user requests as benign, dual-use or adversarial, judge three model answers safe or unsafe, and rank them.

Evaluate AI answers to chemical engineering scenarios, checking material and energy balances and assumptions.

Write engineering design problems with reference answers and grade model-written analysis for governing failure modes and assumptions.

Write mechanical design problems with reference answers and grade model-written analysis for correct free body diagrams and failure modes.

Write circuit or systems problems with reference answers, and grade model-written electrical design and analysis for topology, margins, and timing.

Write materials problems with reference answers, and grade model-written structure-property reasoning for microstructure, characterization, and processing realism.

Classify chemical requests, mark model answers safe or unsafe, and write the answer the model should have given.

Review AI-generated chemical, biological, radiological, and nuclear content for accuracy and safety, flagging unsafe or operationally enabling material.

Review AI-generated materials science content for scientific accuracy, and write gold-standard answers while ranking multiple AI responses by correctness.

Classify requests as benign, dual-use or adversarial and mark model answers as safe or unsafe.

Analyze RF/EM systems, antennas, and circuits, and evaluate design trade-offs, calculations, and proposed solutions.

Design automated test systems and sequences for electrical hardware, and analyze test results to identify root causes of failures.

Evaluate electrical designs against technical requirements and perform calculations such as voltage drop and short-circuit analysis.

Review deployed network logs, configs, and telemetry, then label and classify network anomalies and incident patterns.

Review AI-generated architecture and design content and trainer work, giving precise written feedback against project guidelines and rubrics.

Review AI-generated biomedical engineering content and trainer/QA work against project guidelines, giving precise written feedback.

Review AI-generated civil engineering content and trainer/QA work against project guidelines, providing precise written feedback.

Review AI-generated chemical engineering content and trainer/QA work against project guidelines, and provide precise written feedback.

Review AI-generated electrical engineering content and trainer work, giving written feedback on technical accuracy against project guidelines.

Review AI-generated mechanical engineering content and trainer/QA work for technical accuracy, and give written feedback against project guidelines.

Evaluate AI-generated responses for technical accuracy and challenge language models with realistic chemical engineering scenarios and calculations.

Evaluate AI-generated responses for technical accuracy and challenge language models with realistic biomedical engineering scenarios.

Evaluate AI-generated responses for technical accuracy and challenge language models with realistic electrical engineering scenarios and calculations.

Evaluate AI-generated responses for technical accuracy and challenge language models with realistic civil engineering scenarios.

Review AI-generated engineering solutions, evaluating reasoning quality, and rate and compare multiple responses with written feedback on correctness.