OpenJob database
Filter by language, expertise, location eligibility and work mode. Pay and verification details are shown consistently.
Opportunities
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 productivity and automation 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 paid recording work in the United States: film your everyday household chores from a first-person view with your smartphone and a head mount shipped to you, following project guidelines. Pay is per hour of accepted recorded video. Onboarding includes a device check and an AI interview. This work involves filming your own household activities at home with a head-mounted phone: read the consent and privacy terms on the official page before applying.
Remote contract work for law students and recent graduates who have cite-checked for a law review or journal: review citation-checking rubrics, identify unclear rules and edge cases, and build sample cite-checking tasks across citation types and difficulty levels, from formatting errors to pincite and source-support problems. No prior AI experience is required.
Remote contract work for law students and recent law graduates with law review or journal experience on a legal citation project: review Bluebook and pincite grading rubrics, flag unclear or inconsistent rules and uncovered edge cases, and create sample cite-checking tasks with realistic errors, correct answers and rule explanations. No prior AI experience is required.
Remote contract work for professional photographers on an AI training project: provide accurate descriptions, labels and context for images, analyse and explain visual content so AI systems can interpret it, and organise and submit high-quality data following project guidelines. No AI experience is required.
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.
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.
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.