Texas Sports Academy is on the lookout for a Senior AI Engineer specializing in LLM (Large Language Model) Systems and RAG (Retrieval-Augmented Generation) Optimization. As we continue to push the boundaries of sports technology, your role will be pivotal in developing and optimizing AI-driven solutions that enhance our offerings for athletes and coaches. You will be responsible for designing, developing, and fine-tuning LLM systems that can offer personalized insights and performance recommendations based on data-driven analysis. Your expertise in retrieval-augmented generation will enable the integration of comprehensive data sources, empowering our systems to deliver high-quality, context-aware content and responses. You will work collaboratively with data scientists, software engineers, and domain experts to implement scalable AI solutions that drive innovation in our training programs. If you are passionate about harnessing the power of AI to transform the sports industry and have a strong foundation in NLP and machine learning, this is the perfect opportunity for you to make an impact. Responsibilities - Design and implement LLM systems tailored to the needs of athletes and coaches. - Optimize retrieval-augmented generation processes to improve the quality and relevance of AI-generated content. - Collaborate with cross-functional teams to define AI strategies and ensure alignment with business goals. - Conduct research on cutting-edge AI methodologies and integrate them into existing systems. - Monitor and evaluate system performance, making data-driven adjustments as necessary. - Mentor junior team members and help cultivate a culture of innovation within the department. - Document system architecture, processes, and best practices for future reference and team knowledge sharing.

Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. The Data Scaling team owns the Data Flywheel for AV Foundation model development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at scale and deliver the driving behaviors necessary for the product success. The team owns the definition and processes for data quality across the data loop. The team directly works on and delivers ML models to the product that successively go up the Data Scaling curves, thereby directly impacting AV product performance through smart use of data. As part of this work, the team builds scalable systems and pipelines that attempt to 10x the data used, its diversity and impact on the models with successive major releases. The team uses existing very large datasets that GM has access to internally as well as defines the next generation of highest value datasets that GM continues to collect - both from real driving by GM and retail fleets, but also synthetic sim-based datasets. Why Join Us? - Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity - into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example. - Work with cutting-edge technology and a collaborative, high-impact team of AI/ML engineers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications. - Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles. As a Senior AI/ML Engineer in the Embodied AI Data Foundations organization, you will develop and deploy machine learning solutions maximally leveraging multiple sources of data including real and synthetic datasets, directly impacting autonomous driving performance. You will contribute to designing and improving ML models that go up the data scaling curves and when deployed, support safe and reliable vehicle behavior across real-world scenarios. You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready solutions while contributing to engineering best practices and delivery execution. What You'll Do - Develop and improve ML solutions aligned with GM's autonomous driving objectives. - Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI. - Collaborate with cross-functional teams to deploy models into onboard driving systems. - Implement and evaluate models, incorporating research advancements into practical applications. - Contribute to taking ML solutions from experimentation through deployment and production support. - Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing. Your Skills & Abilities - Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, or related field. - Experience applying machine learning techniques to real-world systems or large-scale datasets. - Proficiency in PyTorch and Python. - Experience working with model training pipelines or large-scale data processing workflows. - Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark. - Ability to collaborate effectively within cross-functional engineering teams. - Experience deploying ML models into production or working within production ML environments preferred. Remote/Hybrid: This role is categorized as fully remote or hybrid. Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. - The salary range for this role is $159,300.00 to $230,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: - GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. #LI-CX1 #GM-AV-1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Title: Data Entry Specialist Job DescriptionAs a Data Entry Specialist, you will play a critical role in formatting, proofreading, and finalizing various documents, including reports, letter proposals, and task orders. You will apply company templates, margins, fonts, and letterheads while adapting to specific client style guides, especially for government agencies. This position requires managing and processing large, complex documents, potentially involving thousands of pages and hyperlinking, as well as converting documents to PDF and inserting signatures and dates. Responsibilities - Format, proofread, and finalize reports, letter proposals, and task orders. - Apply company templates, margins, fonts, and letterheads. - Convert documents to PDF and insert signatures and dates. - Adapt to specific client style guides, particularly for government agencies. - Manage and process large, complex documents with hyperlinking. - Utilize an admin log spreadsheet to track and manage incoming requests. Essential Skills - Proficiency in Microsoft Word, including advanced features like tables of contents and footers. - Ability to create and manage PDFs. - Familiarity with resources like ChatGPT for problem-solving. - Strong communication skills to clarify ambiguous requests. Additional Skills & Qualifications - Experience with MLA formatting or academic writing is beneficial. - Adaptable and quick to learn new processes and tools. - Independent and self-starting, able to work through challenges without constant supervision. - Resourceful in figuring out solutions such as using bookmarks and hyperlinks for complex numbering. - Patient and able to handle trial-and-error learning. Work EnvironmentThis is a fully remote position, allowing for work to be completed at the contractor's convenience as long as deadlines are met. The role is ideal for someone who prefers working independently with minimal direct interaction. You will have the opportunity to interact with project managers, field personnel, and other office staff as needed. Job Type & Location This is a Contract position based out of Boonton, NJ. Pay and BenefitsThe pay range for this position is $18.00 - $25.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace TypeThis is a fully remote position. Application DeadlineThis position is anticipated to close on Apr 16, 2026. About Aston Carter: Aston Carter provides world-class corporate talent solutions to thousands of clients across the globe. Specialized in accounting, finance, human resources, talent acquisition, procurement, supply chain and select administrative professions, we extend the capabilities of industry-leading companies. We draw on our deep recruiting expertise and expansive network to meet the evolving needs of our clients and talent community with agility and excellence. With offices across the U.S., Canada, Asia Pacific and Europe, Aston Carter serves many of the Fortune 500. We are proud to be a ClearlyRated Best of Staffing® double diamond winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email astoncarteraccommodation@astoncarter.com for other accommodation options.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the Team This team is building production AI that eliminates financial busywork for startups globally. We're delivering intelligent automation across payments, payroll, bookkeeping, and tax-freeing founders to focus on building their companies instead of managing finances. We leverage cutting-edge AI tooling across the spectrum: from prompt engineering and in-context learning to fine-tuned models and agentic systems, choosing the right approach for each problem. We work backward from real founder pain points, own customer outcomes, and ship fast. The team is small, elite, and builder-focused, led by operators with a track record of shipping AI products at scale. You'll solve hard technical problems with real autonomy and direct customer impact. About the Role You'll be a core builder in our AI team, designing and deploying intelligent systems that automate complex, multi-step workflows. You'll leverage agentic frameworks, advanced orchestration, and pragmatic model selection to take ideas from whiteboard to production. What You'll Do - Architect and deploy AI agents using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and emerging OSS stacks. - Apply the right techniques across the AI spectrum - prompting, RAG, fine-tuning, or training from scratch. - Design and optimize agent architectures for reasoning, tool use, and workflow automation. - Build systems that improve with usage, creating compounding AI flywheels. - Work with backend and frontend engineers to integrate AI reasoning into secure, production systems. What You Need to Have - 2+ years in applied AI/ML engineering with production deployments. - Strong Python skills and experience with ML frameworks (PyTorch, JAX, TensorFlow). - Track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems. - Understanding of monitoring, evaluation, and iteration in production AI systems. - Ability to balance innovation with reliability, scalability, and compliance. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. #BI-Hybrid