Deepdub is a pioneer in AI-powered voice and dubbing technology, enabling premium-quality, emotionally rich voice localization at global scale. Our proprietary eTTS™ (Emotional Text-to-Speech) technology creates natural, human-sounding performances while preserving the creative intent of the original actors. Deepdub works with leading Hollywood studios, streaming platforms, and global media companies, and is the only AI voice company with content already streaming on major platforms worldwide. As a foundational AI model company in the Media & Entertainment industry, Deepdub is rapidly expanding its global operations and redefining how stories are told, heard, and felt across languages. See more on our Sass product > https://www.youtube.com/watch?v=D50WEwvFN_0 Check what our Adapters say about Deepdub > https://www.youtube.com/shorts/_faGh5saulQ Read more about how we empower creative talent > https://www.advanced-television.com/2025/08/21/268867/ About the role We are building a Talent Pool of freelance Italian Dubbing AI Adaptors to support current and future production needs. This is not a full-time or permanent position. Work is offered on a project basis, and assignment volumes are directly dependent on client demand, production schedules, and incoming content volumes. Talent Pool freelancers will be contacted for paid projects as volumes become available and matched based on language, availability, and performance. Responsibilities - Adapt scripts for dubbing and generate new audio using AI-based TTS tools. - Review, correct, and refine automated translations to ensure natural, accurate localization. - Evaluate voice quality, emotional performance, timing, and overall audiovisual output. - Address client feedback, rejection notes, and revision requests. - Work independently and efficiently on multiple productions while meeting quality and delivery standards. Requirements - Italian (spoken and written). - Experience in dubbing or post-production workflows - a strong advantage. - 2+ years of experience in one or more of the following areas: Dubbing direction, adaptation, or performance, Voice acting, Transcription, translation, subtitling, proofreading, captioning, or media localization. - Tech-savvy, with the ability to quickly learn new platforms and tools. - Audio or video editing skills. You’ll know you’re a good fit if you null A few more reasons to join us null Why Should You Apply for this Position? null Nice to have null

Title: Supply Chain AI Developer Location: Cherry Hill, New Jersey; Fort Worth, Texas; King of Prussia, Pennsylvania; Orlando, Florida Job Description: Lockheed Martin's Supply Chain Analytics and Affordability (SCAA) Team is looking for a experienced AI Developer to support Corporate Supply Chain Operations. The individual must have a desire to work in a fast-paced environment, tackling both technical and business challenges in collaboration with cross-functional counterparts across the Enterprise. This person will work closely with the LM Data and AI offices to explore and develop AI capabilities specific to Supply Chain needs. This person will: - Be involved in the inception of ideas and implementation of AI Solutions from prototype through production ready AI technology to advanced Supply Chain capabilities - Serve as the algorithm expert with up-to-date knowledge on modern AI research - Applies latest research on AI algorithms and trains machine learning / deep learning models to solve a variety of problems - Optimizes the performance of AI algorithms, applications, and platforms - Develops and documents algorithm and implementation requirements Basic Qualifications: - Bachelor's degree in Data Science, Computer Science, or related field - Proficient in programming languages such as Python or R - Experience with machine learning algorithms and deep learning frameworks such as TensorFlow and PyTorch - Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning - Experience in LLMs and GenAI - Ability to design, develop, and deploy AI and machine learning solutions. - Proficiency in data processing and analysis using tools such as SQL, R, and/or Pandas. - US Citizenship Desired Skills: - Experience transitioning modern AI solutions from prototype to production, particularly GenAI solutions - Knowledge of LM supply chain processes and data - Knowledge of SAP ERP Systems, Applications and Processes and data constructs Clearance Level: None Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $125,100 - $216,890. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible. Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $108,800 - $191,820. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: No Career Area: Artificial Intelligence Type: Full-Time Shift: First

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original material engineering problems that simulate real engineering workflows; - Create problems requiring Python programming to solve engineering calculations and simulations; - Ensure problems are computationally intensive and require numerical methods or iterative solutions; - Develop problems involving system design, optimization, and analysis; - Base problems on real research challenges or practical applications from engineering practice; - Verify solutions using Python with standard engineering libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for material scientists & engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Material Science or related fields;  - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Understanding of practical engineering constraints and approximations; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may:  - Design original material engineering problems that simulate real engineering workflows; - Create problems requiring Python programming to solve engineering calculations and simulations; - Ensure problems are computationally intensive and require numerical methods or iterative solutions; - Develop problems involving system design, optimization, and analysis; - Base problems on real research challenges or practical applications from engineering practice; - Verify solutions using Python with standard engineering libraries; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for material scientists & engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Material Science or related fields;  - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Understanding of practical engineering constraints and approximations; - Strong written English (C1+). How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $17 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.