Language: English

We are seeking experienced in Medical Expert – Dermatology help evaluate and enhance large language model (LLM) outputs related to nutrition, dietary habits, and healthy eating. You’ll assess AI-generated content for scientific accuracy, safety, and relevance — contributing to the development of responsible AI in nutrition and wellness. Main tasks listed: Annotate food items, portion sizes, meal composition, and nutrient content from text, images, or logs; Classify dietary patterns (e.g., macronutrient balance, meal timing, dietary restrictions/preferences); Verify accuracy of nutritional data against trusted references (e.g., food composition databases); Identify and flag mislabeled, inconsistent, or culturally ambiguous food entries.

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.

We are seeking an experienced Electrical Engineering or Computer Science expert to lead a team of technical trainers developing realistic, terminal-based scientific and engineering tasks for a frontier AI training and evaluation initiative. In this role, you will oversee a pod of approximately 5–10 trainers, review technical tasks for accuracy, reproducibility, and evaluation quality, and ensure tasks reflect authentic computer science, software systems, and electrical engineering workflows. Main tasks listed: Lead and mentor a pod of technical trainers, ensuring consistent quality, productivity, and timely delivery of scientific and engineering tasks; Review technical tasks end to end, including problem statements, codebases, circuit netlists, hardware description languages (HDL), datasets, computational environments, reference solutions, and automated tests; Validate tasks involving high-performance computing (HPC), parallel computing, algorithms, distributed systems, compilers, operating systems, databases, ML systems, GPU computing, circuit design, signal processing, power systems, and embedded systems; Ensure tasks reflect realistic software engineering, research, and electrical engineering workflows requiring meaningful multi-step technical reasoning.

Support the daily resource planning and deployment of 1,800+ contributors across multiple AI training projects. Reporting to the Supply Manager, you will allocate contributors, maintain accurate workforce data, monitor capacity, and coordinate with Project, Training, and Onboarding Leads. Main tasks listed: Allocate and move contributors based on project demand; Coordinate access, training, and instructions for resource movements; Maintain accurate deployment, status, performance, and capacity data; Monitor project capacity, throughput, onboarding, and offboarding.

Own resource planning and deployment for a large-scale AI training program, managing 1,800+ contributors across multiple projects. You will align capacity with client demand, oversee resource tracking systems, identify supply risks, and lead a team of Supply Coordinators to ensure smooth 24/7 operations. Main tasks listed: Make data-driven resource allocation and deployment decisions; Forecast capacity gaps and guide recruiting and fulfillment teams; Manage and improve centralized resource and throughput tracking systems; Integrate data from recruiting, onboarding, performance, and project delivery.

Serve as the subject-matter expert for complex quality decisions in AI annotation projects. You will guide QA Leads, resolve ambiguous cases, lead calibration efforts, and use audit insights to improve guidelines, training, and overall data quality. Main tasks listed: Convert complex client guidelines into clear internal instructions; Validate project setup before production begins; Mentor and calibrate QA Leads and annotation teams; Lead calibration sessions and maintain reviewer consistency.

Manage day-to-day quality operations for multimodal AI annotation projects. Reporting to the Quality Manager, you will lead QA teams, monitor quality performance, resolve issues quickly, and ensure deliverables meet client standards within tight turnaround times. Main tasks listed: Lead Senior QA Leads and QA Leads across shifts; Set review priorities, sampling plans, and quality coverage; Implement audits, scoring rubrics, and calibration processes; Track accuracy, agreement, error rates, review throughput, and turnaround time.

Lead the quality strategy for large-scale AI training data and annotation programs. You will define quality standards, manage quality teams, oversee audits, and ensure accurate, consistent, and timely delivery in a fast-paced environment with tight turnaround times. Main tasks listed: Define quality standards, metrics, and targets across data types; Build and lead Quality Leads and QA teams; Develop audit, sampling, calibration, and escalation frameworks; Lead client quality reviews and manage quality-related escalations.