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Lead a pod of about 5–10 trainers building terminal-based materials science tasks for a frontier AI training and evaluation project: review tasks end to end (DFT, molecular dynamics, thermodynamics, crystallography), check scientific correctness and reproducibility, review automated graders and mentor trainers.
Lead a pod of trainers building terminal-based chemistry tasks for Terminal Bench Science: review tasks end to end for chemical correctness, reproducibility, safety and grader reliability (units, convergence, stereochemistry, force fields), and coach trainers.
Lead a pod of trainers building terminal-based physics tasks for Terminal Bench Science: review every task end to end (datasets, simulation inputs, environments, reference solutions, automated tests) for physical correctness, reproducibility and grader reliability, and coach trainers.
Lead a pod of 5–10 trainers building terminal-based mathematical tasks for Terminal Bench Science: review problem statements, environments, reference solutions and automated tests for correctness, stability and reproducibility, design graders and mentor trainers.
Non-coding remote project: evaluate AI responses in single- and multi-turn conversations against safety policies, give 1–5 ratings and write short evidence-based justifications. Content includes sensitive topics such as self-harm, violence and abuse. Hourly pay; 1–2 weeks with possible extension, starting around 23 October.
Remote AI audio project for music professionals: listen to short clips and identify the instrument family and the specific instrument, following annotation guidelines and audio references. Getting started requires a short (about 15-minute) qualifying assessment; pay is in USD.
Five-week contract for computational life science experts: design realistic multi-step agentic workflows where AI agents analyse scientific data, write and run code and produce verifiable results, with reproducible expert solutions and grading criteria. At least 6 hours a day and 40 hours a week, with 4 hours' overlap with U.S. Pacific time.
Remote quality-review role on an AI safety project for a US AI company: audit trainers' evaluations for policy misapplication, incomplete reasoning, scoring drift, schema errors and inconsistent annotations, apply a detailed AI safety policy framework, give corrective feedback and document recurring error patterns. The listing states that the project includes sensitive content (self-harm, violence and abuse), with waivers and wellbeing support.
16-week remote AI evaluation project (with possible extension): review AI-generated prompts and responses in English that use selected data from your own Google apps, Google Messages and device SMS, and rate them for relevance, accuracy, helpfulness and personalization. This work uses your personal account data: read the privacy and consent terms on the official page before applying.
Remote project of 8–10 weeks for 3D and digital artists: create stylized 3D models and digital assets from briefs and references (low-poly, voxel, handcrafted and material-driven styles), recreate textures such as clay, fabric and paper, and produce consistent, optimized variations. The listing describes earnings as based on approved tasks, paid in USD, with work starting after portfolio approval and onboarding.
We are seeking creative and detail-oriented Image Annotation QA who can create high-quality stylized assets from briefs and references. The ideal candidate should have strong skills in 3D modeling, texturing, lighting, shading, rendering, and material creation. Estimated earning potential of approximately $7hour Up to 40 hours/week; Full-time artists working up to 20 hours/week are welcome Main tasks listed: Create stylized 3D models and digital assets; Work with low-poly, voxel, handcrafted, and material-driven styles; Recreate textures such as clay, fabric, paper, and textiles; Apply strong skills in topology, UV mapping, lighting, shading, and rendering.
We’re seeking detail-oriented annotators to evaluate how well audio and video clips align. You’ll review an audio or video query, compare two options (A and B) in the complementary format, and select the best match. Main tasks listed: Review each audio or video query and compare the two provided options; Select the video that best matches an audio query, or the audio that best matches a video query; Follow annotation guidelines to deliver accurate, consistent judgments; Aim for an average handling time (AHT) of 30 seconds per annotation while maintaining quality.
We are seeking US-based generalist raters to participate in Gemini Personalization Evals. In this role, raters will perform generalist evaluation work using personalized prompts designed to retrieve context and data across connected Google apps. This work may involve recording or sharing personal data (for example voice, video or account activity): read the consent and 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 looking for a detail-oriented Business Analyst to support a project involving the evaluation of multiple chatbot responses. The role will require analyzing business requirements, comparing chatbot outputs, conducting structured evaluations, and providing final assessments based on defined criteria. Main tasks listed: Gather, analyze, and document business requirements; Collaborate with stakeholders to understand business needs and objectives; Translate business requirements into clear functional specifications; Analyze workflows, processes, and data to identify gaps and improvement areas.
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.
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.