Remote part-time contract work (about 10–20 hours per week) for a research project with a leading AI lab: on your own Mac, carry out and narrate real engineering design workflows so the work can be used to benchmark and improve AI models. The work is done on your own computer: read the privacy terms on the official page before applying.
Remote part-time contract work (about 10–20 hours per week) for a research project with a leading AI lab: on your own Mac, carry out and narrate real design and drafting workflows so the work can be used to benchmark and improve AI models. The work is done on your own computer: read the privacy terms on the official page before applying.
Remote part-time contract work (about 10–20 hours per week) for a research project with a leading AI lab: on your own Mac, carry out and narrate real process, operations and production engineering workflows so the work can be used to benchmark and improve AI models. The work is done on your own computer: read the privacy terms on the official page before applying.
Remote part-time contract work (about 10–20 hours per week) for a research project with a leading AI lab: on your own Mac, carry out and narrate real research workflows so the work can be used to benchmark and improve AI models. The work is done on your own computer: read the privacy terms on the official page before applying.
We are seeking an experienced Mechanical or Aerospace Engineering expert to lead a team of technical trainers developing realistic, terminal-based engineering tasks for a frontier AI training and evaluation initiative. In this role, you will oversee a pod of approximately 5–10 trainers, review engineering tasks for technical accuracy, reproducibility, and evaluation quality, and ensure that tasks reflect authentic mechanical and aerospace engineering workflows. Main tasks listed: Lead and mentor a pod of technical trainers, ensuring consistent quality, productivity, and timely delivery of engineering tasks; Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests; Validate tasks involving finite-element analysis (FEA), computational fluid dynamics (CFD), thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics; Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful multi-step technical reasoning.
We are seeking an experienced Mechanical Design & Analysis Expert with top-tier automotive or aerospace engineering pedigree to design datasets that will help our customers train and evaluate advanced AI models against real-world mechanical engineering workflows. Main tasks listed: Convert real-world mechanical engineering challenges into structured test scenarios with defined inputs, requirements, kinematic/geometric constraints, and verified golden reference solutions; Design clear scoring rubrics & programmatic validation rules for automated task verification by software engineers (e.g., verifying stress concentrations, mesh convergence, boundary conditions, tolerance stacks, GD&T adherence); Assess the behavior of state-of-the-art AI agents to diagnose & analyse failure modes; Design and manage automated and human-expert-in-the-loop QA/QC workflows to ensure dataset quality.
We are hiring US-based academic chemists to support the curation and evaluation of high-quality chemistry data for frontier AI models and research laboratories. This is the Senior Reviewer track of the project. You will review complex chemistry problems and AI-generated solutions, resolve disagreements among reviewers, develop evaluation frameworks, and serve as a subject-matter advisor to client teams assessing AI model outputs.
Responsible for developing electronic hardware designs from initial requirements through component selection, schematic design, PCB layout, and design validation, with a focus on power electronics and automotive applications. Main tasks listed: Analyze product requirements and translate them into hardware specifications; Develop circuit architectures and select appropriate electronic components based on electrical ratings, performance, reliability, availability, and cost; Design schematics for DC-DC converters, power supplies, battery management, protection circuits, and automotive power electronics; Perform component-level calculations and assess voltage, current, power dissipation, thermal performance, and protection requirements.
Responsible for end-to-end electronic hardware development, from requirements analysis and circuit design to component selection, schematic capture, PCB layout, and design verification for analog, mixed-signal, sensor, communication, and RF applications. Main tasks listed: Interpret functional and electrical requirements and convert them into circuit-level specifications; Develop circuit architectures and select suitable components using datasheets, application notes, and design calculations; Design analog, mixed-signal, sensor-interface, signal-conditioning, industrial-interface, and RF circuits; Develop schematics and associated BOMs, including suitable component alternatives where required.
Responsible for developing digital and high-speed electronic hardware from requirements definition and component selection through schematic design, PCB layout, and design verification. Main tasks listed: Analyze system requirements and develop hardware specifications and circuit architectures; Select processors, microcontrollers, FPGAs, memories, interface ICs, power-management components, and supporting circuitry; Design schematics for embedded systems, digital interfaces, communication boards, and high-speed electronic products; Develop multilayer PCB layouts with appropriate stack-up planning, reference planes, controlled impedance, differential-pair routing, and timing constraints.