Role Description We are sharing a specialised part-time consulting opportunity for Norwegian language experts with strong linguistic, cultural, and written communication skills. This role supports collaborations with leading AI research laboratories working to improve advanced AI systems through language evaluation, annotation, cultural nuance review, and quality assurance for Norwegian. Selected professionals will help evaluate AI-generated content, identify linguistic and contextual errors, provide structured feedback on fluency and tone, and contribute to improving the overall quality and reliability of multilingual AI systems. Key Responsibilities - Language Evaluation & Annotation - Review, evaluate, and annotate AI-generated text in Norwegian for fluency, accuracy, and linguistic quality. - Assess grammar, syntax, semantics, style, and tone across a variety of language tasks. - Identify subtle linguistic, contextual, and cultural issues in model outputs. - Linguistic Review & Feedback - Provide expert feedback to improve the quality and consistency of AI-generated content. - Help define language-specific edge cases, ambiguities, and usage patterns. - Support the refinement of linguistic rules and evaluation criteria. - Guideline Development & Documentation - Develop and improve guidelines to ensure consistency across language review workflows. - Contribute to structured documentation that supports scalable linguistic quality assurance. - Help standardise best practices for evaluating Norwegian-language AI outputs. - Collaboration with AI Research Teams - Collaborate with researchers and engineers to identify language-specific challenges. - Suggest improvements for datasets, linguistic coverage, and model behaviour. - Contribute domain expertise to help strengthen multilingual AI performance. Qualifications - Native-level proficiency in Norwegian and strong fluency in English. - Strong grasp of grammar, syntax, semantics, and stylistics in Norwegian. - Ability to identify and correct subtle linguistic, contextual, and cultural nuances. - Bachelor's degree in Linguistics, Translation, Literature, or a related field. - Strong written communication skills and attention to detail. - Ability to provide structured, analytical feedback on language quality. Requirements - Advanced degree in Linguistics, Translation, Literature, or a related field (preferred). - Prior experience in linguistic annotation, translation, localisation, or content review (preferred). - Familiarity with AI, NLP, or language technologies (preferred). - Experience developing language guidelines, evaluation rubrics, or documentation (preferred). - Comfort working independently in remote, project-based environments (preferred). Benefits - Contribute directly to cutting-edge AI research and multilingual model improvement. - Help improve the fluency, cultural relevance, and reliability of Norwegian-language AI systems. - Collaborate with teams building next-generation AI technologies. - Flexible remote work with competitive compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Part-time commitment of approximately 10 hours per week. - Compensation range of $35–$50 per hour. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or concluded early depending on project needs and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. - Please note: We are unable to support H1-B or STEM OPT candidates at this time. About the Platform This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects. Experts contribute to improving advanced AI systems by providing specialised expertise in language evaluation, annotation, multilingual quality assurance, and cultural review. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

Role Description The Boeing Company is looking for a Principal Fight Icing Specialist to join the Sustainable Flight Demonstrator Technology Team in Everett, WA, or Huntington Beach. Depending on experience, remote work is an option. We are seeking an experienced aerospace research leader to direct and grow multidisciplinary research focused on flight-in icing prediction capabilities for aircraft and propulsion systems. The successful candidate will combine deep technical expertise in aerodynamic icing analysis and testing with demonstrated leadership as a principal investigator and program manager to execute research projects, develop strategic technology roadmaps, and maintain strong partnerships with government, industry, regulators, and academia. Position Responsibilities - Provide technical and strategic leadership for a research portfolio addressing aircraft and engine icing hazards. - Serve as Principal Investigator or technical lead for developing enhanced analytic and testing methods for ice crystals and ice shape prediction. - Support wind tunnel testing, ground testing, and flight testing at local and remote facilities. - Mentor early and mid-career engineers in a multidisciplinary team to develop a talent pipeline. - Define and implement long-range research priorities informed by stakeholder needs. - Develop and manage program budgets, schedules, and risk mitigation plans. - Oversee and participate in development, validation, and dissemination of icing analysis tools and models for enterprise use. - Lead coordination with government agencies, regulators, suppliers, and academic partners to align technology development outcomes with design and certification needs. - Represent the organization in professional societies (e.g., AIAA, SAE) and standards committees; serve as a trusted external point of contact for icing research topics. Qualifications - Bachelor’s Degree or higher in Aerodynamics Engineering, Aerospace Engineering, or Mechanical Engineering. - 10+ years of progressively responsible research and technical leadership experience in aircraft icing, propulsion system icing, or closely related aeronautics disciplines. - Fundamental understanding of convective heat and mass transfer and compressible flow physics. - Demonstrated experience as a Principal Investigator (PI) for large-scale research campaigns or program lead of multi-disciplinary teams. - Strong background in experimental and analytic methods. Requirements - Experience working with federal research organizations (e.g., NASA) or national laboratories or equivalent industry R&D leadership. - Familiarity with icing certification guidance, regulatory processes, and interaction with FAA/EASA. - Flight experience or operational knowledge of icing flight research. - Successful record of securing and managing collaborative research awards or interagency partnerships. - Experience with icing analysis tools, including LEWICE, GlennICE, or FENSAP-ICE. - Active engagement in professional societies (AIAA, SAE), standards committees, or conference leadership. Benefits - Competitive base pay and variable compensation opportunities. - Health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs. - Programs that provide for both paid and unpaid time away from work. - Pay is based upon candidate experience and qualifications, as well as market and business considerations. - Summary Pay Range: $175,100 - $273,700.

Role Description We are seeking a highly skilled Digital Signal Processing (DSP) Specialist to join our engineering and research team. The ideal candidate will have strong expertise in signal processing algorithms, mathematical modeling, and software development to support the design and optimization of advanced signal processing systems. The Digital Signal Processing Specialist will work closely with engineers, researchers, and product teams to develop innovative solutions involving: - Signal analysis - Filtering - Data transformation - Algorithm optimization This role requires a strong background in applied mathematics, programming, and real-time signal processing applications. Important Eligibility Requirement: This position is open exclusively to residents of the United States. Applicants must currently reside in the United States and be legally authorized to work in the country. Applications submitted from outside the United States will not be considered. Qualifications - Bachelors or Masters degree in Electrical Engineering, Computer Engineering, Applied Mathematics, or a related technical field. - 3–6+ years of experience in digital signal processing or related engineering roles. - Strong understanding of DSP concepts such as Fourier transforms, filtering, sampling theory, and spectral analysis. - Proficiency in MATLAB, Python, or C/C++ for signal processing development. - Experience implementing and optimizing DSP algorithms. - Strong mathematical and analytical problem-solving skills. - Experience working with data analysis and algorithm optimization. - Ability to work independently and collaborate within multidisciplinary teams. Requirements - Design, develop, and implement digital signal processing algorithms for complex data analysis and system optimization. - Perform signal analysis, filtering, spectral analysis, and noise reduction techniques. - Develop and test real-time signal processing systems. - Create mathematical models and simulations for signal processing applications. - Implement DSP algorithms using programming languages such as Python, MATLAB, or C/C++. - Optimize algorithms for performance, accuracy, and efficiency. - Collaborate with engineering teams to integrate signal processing components into larger systems. - Analyze large datasets to identify patterns and improve system performance. - Document technical designs, algorithms, and development processes. - Stay current with advancements in signal processing theory, machine learning integration, and digital communications technologies. Preferred Qualifications - Ph.D. in Electrical Engineering, Signal Processing, or a related field. - Experience with machine learning applied to signal processing. - Familiarity with embedded systems and real-time processing environments. - Experience with FPGA, GPU acceleration, or high-performance computing. - Knowledge of audio processing, communications systems, radar, imaging, or sensor data processing. Compensation Annual Salary: $115,000 – $165,000 per year. Compensation will be determined based on experience, qualifications, and specialized technical expertise. Benefits - Medical, dental, and vision insurance - 401(k) retirement plan with employer matching - Paid time off (PTO) and company holidays - Flexible remote or hybrid work options - Professional development and research opportunities - Performance-based bonuses - Paid parental leave - Technology and home office stipend - Employee wellness programs - Tuition reimbursement for advanced technical training

• Architect and manage horizontally scalable systems that dramatically accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models. • Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company. • Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.