AI Language Annotator - Chinese Traditional

AI Tutor - Chinese

xAI

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: * Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. * Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. * Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. * Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: * Native proficiency in Chinese with exposure to diverse accents, dialects, or regional variations. * Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. * Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. * Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. * Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. * Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. * Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. * Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. * Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: * Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. * Deep understanding and taste of what good/useful Audio data is. * Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. * Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. * Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. * Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. * Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. * Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. * Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: * Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. * For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. * Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. * For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. * We are unable to provide visa sponsorship. * For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Ecosystem Integration Engineer

Axelera AI

About Us Axelera AI is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just four years, we have raised a total of $370 million and have built a world-class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), both remotely from 18 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge? Position Overview Axelera AI is building the world’s most efficient AI inference silicon. As we scale deployments of our Metis and Europa-based platforms through ODM, OEM, and CM partnerships in the Asia-Pacific region, we need a technically strong Integration Engineer embedded in Taiwan. This role is the primary technical interface between Axelera’s AI Integrated Systems (AIS) engineering team and our external partners in Taiwan — covering ODM system integrators, contract manufacturers during NPI/production ramp, and component suppliers. You will ensure that Axelera hardware integrates correctly into partner platforms, that production quality issues are resolved rapidly, and that partners can successfully deploy a complete solution. Key responsibilities: ODM / OEM System Integration Support • Act as the primary technical point of contact for ODM partners adopting Axelera PCIe accelerator cards, M.2 modules, and AI SBCs into their systems. • Guide partners through hardware integration: compatibility, power budget, cooling, mechanical clearances, and BIOS/firmware settings. • Support partner bring-up: OS/driver installation, Voyager SDK deployment, and first-inference validation on customer platforms. • Produce and maintain integration guides, application notes, and FAQs tailored to key ODM accounts. Contract Manufacturer (CM) NPI & Production Support • Provide on-site or remote support to CMs during Mass Production Introduction (MPI) phases, including first-article inspection and pilot-run reviews. • Review and validate CM production test procedures against Axelera ATE/ICT requirements; escalate deviations to the AIS engineering team. • Own in-field production defect triage: collect failure evidence, replicate issues on bench, and drive root-cause analysis in collaboration with R&D engineers. • Maintain a defect log and track corrective/preventive actions (CAPA) through to closure. Supplier Technical Interface • Coordinate with power component suppliers (DCDC converters, PMUs, DDR, passive components) on qualification questions and field-reported anomalies. • Perform bench characterisation of power-related issues (efficiency, regulation, transient response) and communicate findings to internal power integrity engineers. • Support BOM change evaluations for sourced alternatives, providing electrical equivalency data to the AIS team. Component & Design Qualification • Contribute to the qualification of new components (power ICs, passives, memory, connectors) for Axelera in-house hardware products, leveraging proximity to the Taiwan supply chain and key component manufacturers. • Evaluate pin-compatible or functionally equivalent alternatives proposed during BOM reviews or component end-of-life transitions; provide electrical characterisation data and board-level validation results to the AIS design team. • Support design verification activities for new PCB revisions or new product introductions: perform bring-up, functional testing, and regression against previous hardware baselines. • Act as the local technical interface with design partners or EMS providers during engineering prototype builds (EVT/DVT), collecting build feedback and coordinating issue resolution with Axelera HW engineers. • Document qualification outcomes, test reports, and design deviation assessments in Axelera’s PLM/document control system. Qualifications: Essential • 5+ years of hands-on experience in electronic hardware engineering, with a focus on embedded or system-level PCB design. • Solid understanding of digital interfaces: PCIe, USB, I2C/SPI/UART, LPDDR — at both schematic and signal-integrity level. • Proficiency with lab instruments: oscilloscope, logic analyser, power analyser, JTAG debugger. • Ability to read and annotate schematics and PCB layouts. • Proven experience integrating add-in cards or modules (PCIe, M.2, MXM, or similar) into OEM/ODM host platforms. • Familiarity with mechanical and thermal constraints: heatsink mounting, TIM selection, chassis airflow, and IEC/JEDEC temperature classifications. • Understanding of EMC/ESD considerations at board and system level. • Comfortable installing and configuring Linux (Ubuntu/Debian) from scratch, including kernel module loading and device tree basics. • Ability to follow SDK documentation, execute inference pipelines, and interpret performance results — formal ML/AI expertise is not required. • Familiarity with EMS/CM processes: BOM review, first-article inspection, IQC, production test, and failure analysis workflow. • Experience supporting a product through at least one MPI or EVT/DVT/PVT cycle. Preferred • Basic working knowledge of Python: scripting, data manipulation, and test automation. • Basic working knowledge of Linux Bash: scripting, test automation, and system log management. • Supplier management experience: power component qualification, DCDC/PMU issue diagnosis with vendors. • Mandarin Chinese language skills to facilitate direct ODM/CM communication within the Taiwan supply chain. • Familiarity with embedded RTOS or BSP environments, helpful for SBC-based deployment scenarios. • Experience with Altium Designer for schematic review and PCB layout annotation. Location This position is located in Taiwan, in a hybrid / on-site capacity What we offer  This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.    An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.  At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.

Language Data Annotator (US)

RWS

We are looking for Language Data Annotators to support the improvement of AI-generated content in English.   Job Type: Freelance Location: Texas, work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work when available Start Date: Immediately Duration: TBC Rate: 15 USD/hour   Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models?   What You’ll Do The role involves performing diverse data-related tasks, including: Identify and label languages and dialects from model-generated responses. Review outputs from two different AI models and determine which model correctly identified the proposed language. Compare model responses and select the appropriate evaluation outcome from predefined options Ensure annotations are accurate, consistent, and aligned with project guidelines. Support quality improvement efforts by providing reliable language identification evaluations.   What we’re looking for: English Proficiency: Fluent or advanced proficiency in English (levels B2–C2) AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.   What We Offer Flexible schedule Opportunity to earn extra income Timely payments The job is ideal for students, part-timers, or stay-at-home parents