Computer Vision Engineer Remote Jobs in Texas (US)
This page tracks remote computer vision engineer openings that are location-eligible for Texas.
This page tracks remote computer vision engineer openings that are location-eligible for Texas.
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Title: Part-Time Faculty - Computer Science (Graduate Level - Online) Location: Remote, USA Job Description: The College of Arts and Science at Anderson University (South Carolina) invites applications for online instructional positions in our Computer Science M.S. degree. Areas of immediate need include online courses at the graduate level in algorithms/data structures, computational theory, hardware/architecture, and networking/OS. Minimum requirements: Master’s degree in Computer Science or Computer Engineering to include 18 graduate hours in the teaching discipline. College-level teaching experience preferred. Classes are fully remote; however opportunity for an in-person/hybrid component to the course is available. Anderson University is a selective, student-centered Christian university providing a challenging education grounded in the liberal arts, enhanced by professional and graduate programs and a co-curricular focus on the development of character, servant leadership, and cultural engagement. Our faculty strive to provide students with the knowledge to discover, build, serve, create, succeed, and innovate. Affiliated with the South Carolina Baptist Convention, we seek to attract culturally and academically diverse faculty of the highest caliber, active in the scholarship of teaching, discovery, application, and integration of faith. About our Commitment to Fairness in Employment Anderson University does not unlawfully discriminate on the basis of race, color, national or ethnic origin, sex, disability, age, religion, genetic information, veteran or military status, or any other basis on which the University is prohibited from discrimination under the local, state, or federal law, in its employment or in the provision of its services, including but not limited to its programs and activities, admissions, educational policies, scholarship and loan programs, and athletic and other University-administered programs. As a Christian institution of higher education, Anderson University is entitled to certain religious accommodations under federal and state law, including Title IX of the Education Amendments Act and Title VII of the Civil Rights Act. For questions or concerns contact the Office of Human Resources.
• Own the development and deployment of advanced CV models — object detection, multi-object tracking, camera calibration, and semantic segmentation — for player tracking across multiple sports • Build and scale high-performance pipelines for video and image data ingestion, processing, and analysis that hold up under the demands of professional and collegiate programs • Contribute across the full CV/ML lifecycle, from data gathering, model development and training through production deployment, monitoring, and iterative refinement • Drive R&D initiatives including 3D body pose tracking, real-time analysis systems, and integration with LLM/NLP research — with real latitude to explore within the scope of each project • Collaborate closely with Software Engineering, Product, and Data Ops to ensure your work is understood, integrated, and used correctly downstream
• Build and train CV models for sports video: player/ball detection, multi-object tracking, pose/keypoints, event/action recognition, identity association (re-ID). • Own the experimentation loop: hypotheses → ablations → error analysis → measurable improvements. • Design and maintain evaluation: task-appropriate metrics (e.g., MOT metrics, keypoint accuracy, event precision/recall), dataset slices, and failure taxonomy. • Improve data efficiency: augmentations, sampling strategies, handling label noise, weak/self-supervision where helpful. • Prototype and iterate on modern architectures (e.g., transformer-based detection/tracking, temporal models, multi-task setups). • Collaborate on dataset + labeling design: formats, schemas, tooling, versioning. • Help productionize models: packaging, batch/stream inference patterns, throughput/latency tradeoffs, robustness checks. • Add lightweight quality gates: reproducibility, automated eval, regression detection.
The Electric Reliability Council of Texas (ERCOT) oversees the delivery of electricity to residents across Texas and is dedicated to ensuring a reliable electri
Title: Power & Computer Engineer Location: Austin United States Job Description: At ERCOT, our diverse and dynamic work environment provides a platform on which employees can work together to build the future of the Texas power grid and wholesale market utilizing the latest technologies and resources. We encourage you to join our talented, dedicated workforce to develop world-class solutions for today and tomorrow's energy challenges while learning new skills and growing your career. ERCOT is committed to fostering inclusion at all levels of our company. It is the cornerstone of our corporate values of accountability, leadership, innovation, trust, and expertise. We know that individuals with a wide variety of talents, ideas, and experiences propel the innovation that drives our success. An inclusive and diverse workforce strengthens us and allows for a collaborative environment to solve the challenges that face our industry today and in the future. As a member of ERCOT Information Technology (IT) - Grid and Market Solutions (GMS) team, you will work on cutting edge technology solutions that run the electric power grid and wholesale markets within the state of Texas. You will use your creativity and technical expertise to implement industry leading solutions that will help shape the future of the global electric power industry. https://www.ercot.com/careers/programs/gdp ERCOT's GMS Development Program (GDP) is a 12-16-month program designed to provide entry level and early career professionals with the skills necessary to be successful Power System and Computer Engineers. The program, which is based in the Grid & Market Solutions (GMS) Department, will provide experience in day-to-day work and instruction in the fundamentals of electric power systems engineering, grid and market applications, software programming, and IT service and operations management. The GDP offers one-on-one mentoring, training, field trips, and special assignments. These assignments allow GDP engineers to become knowledgeable and familiar with the various business areas at ERCOT. The GMS leadership team prepares GDP engineers for a future career at ERCOT in power systems and computer engineering. Job Duties - Provide Engineering Support for a portfolio of Grid Applications that include Power Flow, State Estimator, Contingency Analysis, Load Frequency Control, Dynamic Stability Analysis, Load Forecasting, Operator Training Simulator (OTS) etc. - Provide Engineering Support for a portfolio of Market Applications that include Security Constrained Economic Dispatch (SCED), Day-Ahead Market (DAM), Reliability Unit Commitment (RUC), Congestion Revenue Rights (CRR), QSE Training Simulator etc. - Design, code, test, validate and implement modifications to Grid and Market applications while adhering to Software Development Life Cycle (SDLC) processes. - Install, configure, and support leading grid and market products from global vendors such as GE/Hitachi/Siemens/Aveva etc. Topics Covered in the Grid and Market Solutions Development Program: - Fundamentals of Grid and Market Solutions that help run the Texas Power Grid and Wholesale Markets. - Energy Management System (EMS) and Market Management System (MMS) - Supervisory Controls and Data Acquisition (SCADA) - IT services and operations management to effectively manage the grid and market systems and applications - Code utilizing a variety of programming languages and tools such as Angular, JavaScript, C++, Python, Shell Scripting, PL/SQL, Java, XML, APIs - Support applications on a variety of Operating Systems such as Windows/Linux - Artificial Intelligence (AI), Machine Learning (ML) - Support applications on databases such as SQL Server and Oracle - Support business intelligence and analytics tools Job Competencies - Functional/Technical Skills - Problem Solving/Analysis - Planning - Decision-making/Judgment - Quality - Communication (Verbal, Written and Presentation Skills) EXPERIENCE - No minimum work experience required in excess of degree requirements. PREFERRED EXPERIENCE - Previous internship in the power industry or power related project - Coursework in Power Systems EDUCATION - Bachelor's Degree Electrical Engineering, Computer Engineering, Computer Science or related field (Required). Focus in or coursework in Power Systems is Highly Preferred - Master's Degree: Electrical Engineering (major in Power Systems preferred) - or a combination of education and experience that provides equivalent knowledge to a major in such fields is required WORK LOCATION - Taylor, TX: - Employees will be required to be on-site in Taylor, TX at minimum 2 days per week, or more, as needed based on the business needs as determined by management - Remote work is required to be performed from your Texas residence. - Employees may opt to work on-site more than required or 100% of the time - Work arrangements are subject to business needs and are subject to change accordingly. Target Start Date: Between June-Aug 2026 The foregoing description reflects the minimum qualifications and the essential functions of the position that must be performed proficiently with or without reasonable accommodation for individuals with disabilities. It is not an exhaustive list of the duties expected to be performed, and management may, at its discretion, revise or require that other or different tasks be performed as assigned. This job description is not intended to create a contract of employment with ERCOT. Both ERCOT and the employee may exercise their employment-at-will rights at any time. #LI-Hybrid, #LI-MH1 ERCOT is firmly committed to equal employment for all qualified persons without regard to race, sex, medical condition, religion, age, creed, national origin, citizenship status, marital status, sexual orientation, physical or mental disability, ancestry, veteran status, genetic information or any other protected category under federal, state or local law. Are you an ERCOT Employee? If so please log in to Workday to apply.
SGS & Co is self-described as a collective of companies, talent, and expertise assembled to help brands own every possible moment when a consumer's desire can be converted into act
Title: CGI Coordinator Location: United States Remote Job Category: Digital Requisition Number: CGICO007211 Full-Time Job Description: Marks, part of the Propelis Group, Marks is a consumer experience agency creating engaging moments across the entire brand spectrum-from brand design and packaging, to content and consumer connections. We are a collaborative global network of 1,900+ team members across 25+ studios and 20+ countries, partnering with some of the world's most recognized brands to solve complex business challenges through design, strategy, and craft. Position Summary Provide data governance, workflow management and support the Production team. Essential Responsibilities, Accountabilities & Results - Maintain the workflow of the CGI Production process - Manage task assignments and priorities for the artists - Provide artists with support to enable them to complete assigned tasks - Responsible for data governance to ensure accuracy - Publish client notes within project management system - Manage incoming data, products and tasking Plus Skills - Shotgun/Shotgrid/Flow experience - Experience working in a CGI environment Competency Requirements - Excellent administrative, organizational, and interpersonal skills - General understanding of Microsoft Excel or equivalent experience - Strong analytical skills - Self-starter and strong initiative - Able to work well under pressure - Able to multi-task, troubleshoot and prioritize - Able to work effectively with a wide variety of personalities - Able to adapt quickly to ever-evolving tech and workflow adaptations - Able to communicate succinctly and professionally with staff and clients Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The following physical requirements are commonly performed in this job. There are times, on occasion, when the employee may be asked or expected to perform duties with physical requirements that are different from those listed here. It is the employee's duty to notify the management of any physical limitations or inability to perform a certain task. - Regularly required to sit; use hands to finger, handle, or feel and talk or hear - Frequently required to stand; walk and reach with hands and arms - Occasionally lift and/or move up to 10 pounds - Vision, color vision and ability to adjust focus Qualifications Experience Required - Excellent administrative, organizational, and interpersonal skills - Strong analytical skills - Self-starter and strong initiative - Able to work well under pressure - Able to multi-task, troubleshoot and prioritize - Able to work effectively with a wide variety of personalities - Able to adapt quickly to ever-evolving tech and workflow adaptations - Able to communicate succinctly and professionally with staff and clients About Propelis: Propelis is a portfolio of global marketing services and technology companies with a combined legacy of 150+ years, 2,000+ clients, 9,000 employees, and operations across 30 countries. Propelis provides the scale and support of a global organization while preserving the unique culture and identity of each company in its portfolio. EEO Statement: We are proud to be an equal opportunity workplace. All employment is decided on the basis of qualifications, merit, and business need. We offer equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, age, disability or any other characteristic protected by federal, state or local law. Equal Opportunity Employer Minorities/Women/Veterans/Disabled. We strive to make our employment website and application process accessible to all users and applicants. In doing so, we provide reasonable accommodations to applicants with disabilities. If you have a disability and require a reasonable accommodation or assistance completing the application process, please contact a member of our Human Resource Team. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $22.00 - $24.04 USD hourly. Ultimately, in determining pay, we will consider the successful candidate's location, experience, and other job-related factors. Group benefits currently include a selection of health care plans with prescription drug coverage, dental plan, vision plan, basic and supplemental life insurance, a flexible spending account for medical and dependent care expenses or a health savings account based on plan selection, short/long term disability and 401(k) Savings Plan. This is a remote position in the US. We are open to candidates in various states, with the exception of those residing in the following: AK, DC, DE, ME, NH, NM, OK, HI, MS, MT, NV, NE, ND, SD, VT, WY, and WV.
Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide. Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you. At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.
Role Description Southern New Hampshire University is looking for online adjunct faculty within our Graduate Computer Science program for Global Campus. You will engage students in an asynchronous and inclusive learning environment by providing guidance and resources in a pre-developed online course. You will support students by providing instruction, feedback, and experiential and application-based learning that helps our students achieve their learning and career goals. You will report to the faculty dean team. This is a remote position. What you'll do: - Prioritize Student Engagement – Work with students by responding within set timeframes and reaching out proactively to students needing additional support. Recognize student needs holistically and connect them with resources. Encourage participation, collaboration, and strong faculty-student relationships to enhance learning and build skills. - Share Expertise and Resources – Stay current in your field of expertise, share your experience, and recommend relevant supplementary materials to enhance student understanding of course content. Find accessible ways to explain complex topics. - Offer Feedback & Assessment – Evaluate student work and provide individualized, constructive feedback within set timeframes to promote growth and mastery of course outcomes. - Facilitate Discussions – Encourage student interaction through active participation in online discussions while fostering an inclusive, engaging, and respectful environment that promotes open dialogue and diverse perspectives. Courses: - CS-540: Data Literacy and Visualization - CS-550: Networking and Cybersecurity - CS-560: UIUX Design and Implementation - CS-570: Machine Learning - CS-580: Deep Learning - CS-590: Database Design and Development - CS-620: Natural Language Processing - CS-630: Software Testing and Quality Assurance - CS-640: Applied AI and Machine Learning Qualifications - Master's degree in Computer Science, Computer Engineering, AI, Information Technology, or a related field - 4+ years of professional experience in computer science, software engineering, software development, Full Stack Development, AI Engineering, IT, Network Engineering, Systems Engineering, UI/UX, etc. - Experience with Tableau, Power BI, Python - Experience with Mongo, PostgreSQL, Neo4J, SQL, Database modeling tools - Experience with Wireshark, Linux, Network simulators - Experience with Python, Scikit-learn, TensorFlow, Pandas, NumPy - Experience with Figma, HTML5, CSS3, JavaScript Benefits - Employer-funded retirement - Free tuition program - Professional development opportunities Compensation The standard compensation for courses is $2,200 per 8-week undergraduate course and $2,500 per 10-week graduate course. Actual pay is determined at the time of course assignment based on discipline.
Role Description Seize your opportunity to make a personal impact as a Computer Operator II supporting the Federal Government. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. GDIT has an opportunity at a dynamic and collaborative Contact Center to join our team that is developing and managing the ServiceNow platform for government clients. The new team member will provide customer assistance and problem resolution to a variety of multi-customer contact or help desk environments. They will respond to providers and recipient calls, providing a single point of contact for report problems, make inquiries and obtaining guidance about any or all services provided by the service center. HOW A COMPUTER OPERATOR II WILL MAKE AN IMPACT - Answers incoming phone calls, portal, and email inquiries on behalf of client; provides accurate and appropriate information to callers. - Places outbound customer service or follow-up calls, as required by client. - Completes call guides; gathers and verifies required information. - Attends telephone skills and program information training sessions; adheres to established levels of service. - Adheres to established customer service and documentation standards within required time frames. - Adheres to contact center scheduling, ensures telephone coverage during contact center hours of operation. - Performs clerical or administrative duties as assigned. Qualifications - Education: High School Diploma/GED - Required Experience: 1+ years of related experience - Required Technical Skills: CXone InContact, ServiceNow - Security Clearance Level: Must obtain Public Trust - Required Skills and Abilities: Communication, Problem Solving - Location: Remote - Full Time - US Citizenship Required Requirements - 1+ years of related experience - Must obtain Public Trust security clearance - US Citizenship Required Benefits - 401K with company match - Comprehensive health and wellness packages - Internal mobility team dedicated to helping you own your career - Professional growth opportunities including paid education and certifications - Cutting-edge technology you can learn from - Full flex work weeks where possible - Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave - 15 days of paid leave per calendar year - 10 paid holidays per year - Paid Family Leave program providing up to 160 hours of paid leave in a rolling 12 month period for eligible employees - Short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
Title: Math & Computer Science - Adjunct Position ClassificationAdjunct Employment TypePart-Time BenefitsPart-Time (Less than 30 hours) Not Benefitted DepartmentMath & Computer Science Summary Use appropriate teaching methods to facilitate student learning for Mathematic or Computer Science courses. Duties 1. Teach synchronous or asynchronous courses using current technology applicable to the discipline which may include face to face, online, and/or video-conferenced courses as needed. 2. Collaborate with Math and Computer Science faculty on course design and appropriately challenging coursework to help students realize their full potential as learners. 3. Ensure course content, activities, and assignments are established. Course content includes, but is not limited to, syllabus, course policies, video lectures, assignments and instructions, grading rubrics, etc. 4. Meet all designated course instruction guidelines, including but not limited to, posting weekly announcements with relevant information, monitoring/participating in discussions, grading student coursework within 72 hours of submission deadline, providing students timely and specific feedback, responding to student inquiries within 24 hours, maintaining weekly virtual office hours, and other requirements as established by the Math & Computer Sciences Department. 5. Maintain frequent and open communication with the Math & Computer Science Chair, faculty and staff through email, mail, telephone, and any other medium deemed appropriate. Be available at least once a semester to attend a virtual meeting with the Chair. 6. Submit mid-term and end of term grades by required deadline according to WNMU procedures. 7. Maintains a positive, safe, inclusive student-centric learning environment that supports success by enforcing WNMU policies to include student code of conduct policies, and those established by the Math & Computer Science Department and Office of Academic Affairs. 8. Models professional standards and ethics in accordance with WNMU and the Math & Computer Science Department mission and vision statements. 9. Performs other duties as assigned Education/Background A doctorate degree in mathematics with experience teaching mathematics courses such as number theory, linear algebra, discrete mathematics, abstract algebra, complex variables, and topology. Job Knowledge Teaching online courses. Teaching with technology, including the use of a graphing calculator, the use of a computer algebra system (such as Scientific Notebook, Maple, Matlab, or Mathematica), or the use of geometry software. Working with underprepared students in a small classroom environment. Experience in a supervisory position. Background in current evidence-based teaching strategies and innovative approaches to pedagogy will be an asset. Must be able to adapt to instructional needs of the department depending on circumstances. Must be knowledgeable of University policies and procedures. Must be able to handle multiple deadlines and maintain accuracy. Must be sensitive to cultural differences within the University and community. Fluent in Microsoft Office Applications. May be required to work additional hours or days depending on circumstances. Working Conditions/ Physical Demands (With or Without Accommodations) Normal office, may travel some within the community when needed. May be required to transport normal office equipment and materials. Ability to comprehend and work with a variety of information from various sources. Able to clearly communicate with a diverse population of individuals. Ability to compose correspondence and reports and remain in a sedentary position for prolonged periods of time. May be required to work additional hours or days depending on circumstances. Other Requirements LocationRemote Length of Contract9 Months Salary RangePer Credit by Rank: Instructor $910, Assistant Professor $963, Associate Professor $1,017, Professor $1,070
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations, and outcomes for the U.S. Department of Energy and other sponsors. At PNNL, you will find an exciting research environment and excellent benefits including health insurance and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living.
Role Description The intern will work with PNNL staff to: - Design, implement, and test an AI agent for two specific tasks: - Simplify user interactions and answer complex infrastructure planning queries for multi-criteria decision making in large-scale infrastructure planning. - Enable users of the C2M2 to advance the maturity of their cybersecurity program. The work will require an understanding of AI training, testing, and validation. - Furthermore, the intern may be required to work with PNNL staff in the deployment of the tool. Qualifications - Minimum Qualifications: - Candidates must be matriculated/enrolled in a Master's program at an accredited college or university. - Minimum GPA of 3.0 is required. - Preferred Qualifications: - Current enrollment in Computer Science, Electrical Engineering, Computer Engineering, Data Science, Cybersecurity, or a closely related field. - Preferred coursework or project experience in: machine learning/NLP, information retrieval, software engineering, and/or cybersecurity. - Nice-to-have (not required): relevant certifications or training such as Azure/AWS fundamentals, Security+ (or equivalent), or prior research/industry experience with applied AI. Requirements - Not Applicable for Hazardous Working Conditions/Environment. - This is not a Testing Designated Position (TDP). Benefits - Employees are offered an employee assistance program and business travel insurance. - Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. - At PNNL, you will find an exciting research environment and excellent benefits including health insurance and flexible work schedules. Company Description Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. - Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations, and outcomes for the U.S. Department of Energy and other sponsors. - PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. - The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
Role Description This 3-month internship is designed for current PhD students and candidates to partner with Reality Defender's AI team to generate cutting-edge research and publish peer-reviewed papers. Your primary collaborator will be Jacob Seidman, who will guide and advise your efforts within deepfake image and video detection. This internship can be performed remotely, although you're welcome to work from our HQ in New York City. What you'll do - Investigate new methods for generative image/video detection. - Collaborate with researchers in the team. - Perform research of deepfake image/video detection. - Write up results of research for internal reports and submission to academic journals/workshops. - Independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute, like AWS/GCP. Qualifications - PhD student in a relevant technical field. - Experience in computer vision. - Proficient in Python and in building deep learning models with PyTorch. - Published peer-reviewed research papers in reputable computer vision venues, e.g. CVPR, ICCV, NeurIPS. - Excited about Reality Defender's mission to build a best-in-class and comprehensive deepfake and AI-generated media detection platform. - Available to start a research project in Summer of 2026.
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Python, PyTorch, AWS, Cloud, Linux, FFmpeg