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About Micro1: Job DescriptionRole Title: Dentist (DDS/DMD) - Dental TechnologyRole Type: ContractorLocation: Remotemicro1 is engaging Dentist (DDS/DMD) - Dental Technology experts to contribute to a unique customer project at the intersection of clinical dentistry and digital innovation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Scope of WorkReview and evaluate dental cases, treatment plans, and clinical workflows based on real-world experience.Analyze dental radiographs, digital impressions, intraoral scans, and other dental imaging outputs.Evaluate workflows using dental practice management software, digital imaging tools, CAD/CAM systems, and treatment planning platforms.Identify inaccuracies and provide clear, detailed feedback based on clinical knowledge and dental best practices.Create and review realistic dental scenarios based on practical clinical experience.Review, annotate, and evaluate dental-related content to improve AI model accuracy and quality.Document findings and provide clear written explanations and recommendations.Preferred QualificationsDDS, DMD, or equivalent dental qualification with proven clinical dentistry experience and an active dental license.Hands-on experience using dental software and digital dentistry tools in clinical practice.Experience with dental software such as Dentrix, Eaglesoft, Open Dental, 3Shape, CEREC, or similar platforms.Strong understanding of dental practice management, digital imaging, CAD/CAM, and treatment planning workflows.Prior Human Data experience, including data annotation, data labeling, RLHF, AI model evaluation, or similar projects (required).Experience reviewing dental imaging, digital treatment plans, and clinical documentation.Strong analytical skills, attention to detail, and the ability to provide structured feedback.

About Micro1: Job DescriptionRole Title: Dentist for AI trainingRole Type: ContractorLocation: Remotemicro1 is engaging experienced dentists to participate in AI data training opportunities for a customer’s project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.Scope of WorkAnalyze, annotate, and label clinical dental data to support AI model development.Evaluate outputs from dental AI models for accuracy, clinical relevance, and workflow realism.Provide expert insights on digital dentistry, including CAD/CAM workflows, digital imaging, and treatment planning software.Review and validate dental charting, imaging, and case scenarios for use in machine learning tasks.Collaborate with cross-functional project teams to clarify dental practices and software usage.Deliver structured feedback and guidance to help refine and enhance AI-driven dental applications.Preferred QualificationsLicensed dentist (DDS, DMD, or internationally recognized equivalent).Proven hands-on experience with clinical dental software (practice management, digital imaging, CAD/CAM, or treatment planning solutions).Prior involvement in human data projects (data labeling, annotation, RLHF, evaluation, or similar tasks).Comprehensive understanding of digital dentistry workflows and technologies.Strong analytical skills and attention to detail for data review and annotation.English language proficiency at B2 level or above.Comfort with remote, software-based project participation and virtual collaboration.

About Mercor: Property, Real Estate, and Community Association ManagersCompany: MercorCompensation: $70-$110 per hourCommitment: Hourly contractLocation: RemoteReferral Reward: Earn up to $440 per successful referral.Referral Link: https://t.mercor.com/k1CNWLocation requirementsUnited StatesAbout the Role Mercor is hiring experienced Property, Real Estate, and Community Association Managers to help evaluate and improve cutting-edge AI systems. In this role, you'll evaluate AI-generated property management content and workflows, leveraging your real-world expertise in operating and maintaining residential, commercial, and industrial properties and managing community associations. Key Responsibilities Evaluate AI-generated property operating budgets, lease analyses, maintenance plans, association governance documents, and other property management artifacts for quality and accuracy. Compare AI-generated responses head-to-head based on financial soundness, regulatory and lease compliance, and operational feasibility. Review scenarios involving tenant and owner relations, rent collection, vendor contracts, capital improvements, and association board matters and provide expert feedback. Required Qualifications 4+ years of experience as a Property Manager, Real Estate Manager, Community Association Manager, HOA Manager, Leasing Manager, or another closely related property or association management role. Experience planning, directing, or coordinating the leasing, operation, maintenance, or governance of residential, commercial, or industrial real estate properties or community associations. Ability to commit 20+ hours per week. Strong written English communication skills. Additional Information Start date: Immediate Duration: Approximately 4–6 weeks Payment: task-based (payment upon first task approval). Experts who complete their first task within the required timeline will then be qualified to be paid hourly for the remainder of the project. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.Contract and Payment Terms You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time. About Mercor Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.

About Mercor: Network Engineer - Talent Network (Data for Autonomous Systems)Company: MercorCommitment: Talent networkLocation: RemoteReferral Link: https://t.mercor.com/WyaTrLocation requirementsCanadaUnited StatesAre you a hands-on enterprise network engineer — Level 3 / Tier 3 support, network operations, or the person your team escalates to — interested in data science and autonomous infrastructure? Our client is building vertically integrated networking systems and using the data they generate to power the next generation of AI-driven infrastructure. They're looking for engineers experienced in troubleshooting, escalations, packet analysis and RCA workflows to help label, annotate, and structure networking data from real production systems. This is a hands-on role that blends your troubleshooting and incident-response experience with a growing understanding of how data pipelines are built and used in AI systems. About this talent network This is an ongoing talent network rather than a single open vacancy. Applications are reviewed on a rolling basis, and interview rounds run periodically as the client opens new headcount. Completing the technical practicum now means your profile is ready to be put forward as soon as the next round opens — there's no need to reapply later. In this role, you'll: Review real-world data from deployed networks: logs, configs, telemetry, event streams Label and classify network behaviors, issues, anomalies, and incident patterns Help define schemas and structure for large-scale data pipelines that downstream ML models will train on Must have: Hands-on experience operating enterprise production networks — switches, access points and firewalls — in end-customer environments such as retail, healthcare, financial, manufacturing, university or hospitality At least 5 years of experience in network engineering, network operations or network support roles Currently, or most recently, working in a hands-on network engineering, network operations or network support role Strongly preferred: Experience as an escalation point for network incidents — Tier 3, final escalations, on-call rotation, RCAs, troubleshooting outages Hands-on enterprise Wi-Fi — WLAN controllers (Cisco WLC/9800, Aruba, or Meraki), 802.1X / RADIUS, and wireless troubleshooting Packet-level troubleshooting you do yourself — Wireshark, tcpdump, SPAN captures Exposure to a wide variety of network environments, vendors and customer types — whether through an MSP, VAR or systems integrator, or a single enterprise with a genuinely diverse estate Networks operated across multiple sites or a large campus environment Curiosity about how raw infrastructure data becomes machine learning input This is a maintainer role — likely not the right fit if your current work is mainly network design/architecture, cloud/SRE, security/SOC, or IT helpdesk. Your work will directly feed into the pipelines that power client's AI models, and help shape how intelligent systems reason about networks in the real world. Here are more details about the role: You will interface directly with the client team. You are expected to work 30-40 hours/week, with your hours overlapping the Pacific (PT) business day. This is an individual 1099 contract paid to a personal account — no corp-to-corp or agency billing. You must be authorized to work in the US or Canada without sponsorship. Please note this project cannot accommodate F-1 STEM OPT, as Mercor is unable to sign Form I-983. Standard F-1 OPT is fine. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.Contract and Payment Terms You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time. About Mercor Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.

About Mercor: PDF Annotation & Transcription Experts – OdiyaCompany: MercorCompensation: $10-$11 per hourCommitment: Hourly contractLocation: RemoteReferral Reward: Earn up to $60 per successful referral.Referral Link: https://t.mercor.com/V1sUALocation requirementsIndiaFluent Language Skills Required: Odiya. Native fluency in Odiya (Oriya), including full command of Odiya script and orthography, is required for this position. All annotation and transcription work is performed in Odiya. Why This Role Exists Document understanding breaks down fastest in the languages that parsing and vision-language models rarely see. This project builds training data for exactly those languages: Odiya, alongside four other Indic scripts, Japanese and Korean. Each task takes a real, publicly available PDF page and produces a complete structural map of that page, paired with a faithful transcription of every text region in the original script. The dataset deliberately concentrates on the material models handle worst: handwriting, dense multi-column layouts, tables, diagrams, and mixed-script pages. Documents are drawn from newspapers, textbooks, examinations, and everyday formats such as flyers, forms, manuals, menus, brochures, notices and worksheets, so that the corpus reflects the real diversity of Odiya documents rather than a narrow band of easily parsed ones. Delivered work is human-authored throughout. Component identification, component typing, reading order and all transcription are performed by people, not generated by parsing models. What You'll Do Open and check a task: pages are provided, so you do not source documents yourself. We find the PDFs and upload them for you. Before annotating, confirm the page is in Odiya, is legible, has real content, and shows no personal details Annotate structure: identify and bound every meaningful region of the page - document title, section heading, paragraph, list, table, figure, diagram, caption, formula, question, answer field - and assign each a component type and a reading-order index Record relationships: link each region to the figure or table it belongs to through a parent component identifier Transcribe faithfully: reproduce all text exactly as it appears in Odiya script, including handwritten content, flagging any region where the source is not legible Capture page metadata: language, document type, source, page dimensions, and flags for tables, formulas and handwriting Review a colleague's work: every task is reviewed end to end by a second Odiya expert, and experienced annotators take on that review Who You Are You are a native Odiya speaker with full command of the script, its diacritics and its conjunct forms You have worked with documents: annotation, transcription, translation, localization, subtitling, proofreading, journalism, or regional-language data review You are exact: character-level accuracy matters more here than speed, and a single wrong diacritic is a defect You are systematic: you apply a taxonomy consistently across hundreds of pages rather than improvising per document You are comfortable with unfamiliar layouts: multi-column newspapers, exam papers, handwritten forms Nice-to-Have Specialties Regional-language AI data: annotation, labeling, grading, or bilingual evaluation for training datasets Transcription and localization: MTPE, subtitling, bilingual QA, OCR correction or post-editing Document production: typesetting, copy-editing, proofreading, or digitization of Odiya-language material Script and encoding: Unicode normalization, Odiya input methods, numeral-form and character-form accuracy What Success Looks Like Every meaningful region on the page is captured, correctly bounded and correctly typed Reading order reflects how the page is actually read, including across columns Transcriptions match the source character for character, in Odiya script rather than transliteration Your tasks pass second-expert review the first time Unsuitable pages are flagged up front rather than after thirty minutes of work Why Join Mercor Build the training data that makes document AI work in scripts it currently handles badly Work from real published Odiya documents rather than synthetic or templated pages Quality leads on this project: accuracy is the first measure, with handling time tracked alongside it We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.Contract and Payment Terms You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time. About Mercor Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.