Role Description The Operations Associate (File Monitoring & Processing) will be responsible for: - Monitoring a designated internal system for newly uploaded attachments throughout the day. - Downloading and organizing files into the appropriate folders within a shared Dropbox environment. - Verifying that files have been transferred correctly and are accessible to relevant stakeholders. - Maintaining accurate file organization and naming conventions. - Escalating missing files, upload issues, or process exceptions when necessary. - Following documented workflows and operational procedures with high accuracy. Qualifications - Strong attention to detail and organizational skills. - Comfortable working with cloud storage platforms such as Dropbox, Google Drive, or OneDrive. - Ability to perform repetitive operational tasks accurately and consistently. - Reliable internet connection and availability for extended daily coverage. - Strong written communication skills. - Prior operations, administrative, data processing, or back-office experience (preferred). Requirements - Immediate start. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com .

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Spanish (Spain) Audio Generalist Evaluator Expert Type: Contract Compensation: $50/hour Location: Remote Commitment: 10–20 hours/week Role Responsibilities - Transcribe and optimize audio and video content in Spanish (Spain), ensuring clarity and accuracy. - Develop evaluation rubrics and grading guidelines in Spanish and English to ensure consistency. - Conduct model testing and grading to assess outputs for accuracy and fluency. - Provide structured feedback to improve AI model performance in Spanish audio tasks. - Participate in QA and review cycles to maintain quality and reliability in datasets. - Collaborate with project leads to resolve ambiguities and improve task design. Qualifications - Strong writing, editing, and critical thinking skills. - Ability to work independently and manage time effectively. - Native or near-native fluency in Spanish (Spain) and professional fluency in English. - Familiarity with Peninsular Spanish, regional vocabulary, and contemporary language usage. - Ability to transcribe and analyze Spanish audio content accurately. Requirements - College students or recent graduates. - Background in linguistics, humanities, social sciences, journalism, translation/localization, or technical disciplines. - Experience with transcription, annotation, localization, evaluation, or research workflows in Spanish. - Familiarity with differences between Peninsular Spanish and Latin American Spanish varieties. - Interest in AI, language models, or applied research environments. Application Process - Complete a short AI-led interview (approximately 15 minutes). - If selected, you will be onboarded and invited to begin project work. Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description Transcribe and optimize audio and video content in Basque. Ensure clarity and accuracy while adhering to guidelines. - Produce high-quality written outputs in Basque and English. Capture nuances like tone, intent, and dialectal variations. - Develop evaluation rubrics and grading guidelines in Basque and English. Document standards for consistency. - Conduct model testing and grading. Evaluate outputs for accuracy, completeness, and fluency. - Support benchmarking and quality assurance. Participate in QA cycles to ensure quality and consistency. Qualifications - Strong writing, editing, and critical thinking skills. - Ability to work independently and manage time effectively. - Native or near-native fluency in Basque and professional fluency in English. - Familiarity with spoken Basque, regional vocabulary, and dialects. - Ability to transcribe and analyze Basque audio content. - Available to commit 10–20 hours/week. Requirements - College students or recent graduates. - Background in linguistics, humanities, social sciences, journalism, translation/localization, or technical disciplines. - Experience with transcription, annotation, localization, evaluation, or research workflows in Basque. - Familiarity with Standard Basque and regional dialects. - Interest in AI, language models, or applied research environments. Application Process - Complete a short AI-led interview (approximately 15 minutes). - If selected, you will be onboarded and invited to begin project work. Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

• Take ownership of one or more core areas of the localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration) and drive it to production reliability on real hardware at active airports • Contribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environments • Help design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture • Develop tooling for diagnostics, health logging, and post-mission analysis across the stack • Contribute to the regression, validation, and release-gating approach for localization changes deployed to active airports • Deploy, test, and iterate using data from real autonomous operations