This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves supporting a leading AI research lab working on improving how advanced AI systems understand real-world software engineering workflows and open-source development practices. - Design and oversee evaluations for coding tasks across multiple programming languages including Python, Java, C, JavaScript, and TypeScript - Develop test cases to assess system behavior across diverse engineering scenarios - Analyze system performance on real-world software engineering workflows and use cases - Identify strengths, weaknesses, and improvement opportunities in AI-generated engineering outputs - Provide structured feedback to support the development and optimization of advanced AI systems - Collaborate with research teams to refine evaluation methodologies and technical benchmarks Qualifications - A strong GitHub or open-source presence with consistent, high-quality contributions to major repositories - Expertise in one or more languages such as Python, Java, C, JavaScript, or TypeScript - Deep familiarity with widely-used libraries, frameworks, and tooling ecosystems in their language of expertise - Strong understanding of software architecture, performance optimization, and scalable system design - Experience collaborating in distributed and asynchronous engineering teams - Strong analytical thinking and excellent technical communication skills Requirements - Experience working on large-scale open-source frameworks or infrastructure projects (Nice to Have) - Familiarity with CI/CD pipelines, Git workflows, and open-source governance practices (Nice to Have) - Experience contributing to widely adopted developer tools or libraries (Nice to Have) Benefits - Contribute professional expertise to frontier AI research projects - Help improve how AI systems understand real-world software engineering and open-source development workflows - Apply open-source engineering expertise to improve next-generation AI systems - Flexible remote project work with competitive compensation Contract Details - Independent contractor role - Fully remote and flexible scheduling - Part-time engagement - Compensation: $100–$140 per hour - Weekly payments via Stripe or Wise - Projects may extend or adjust depending on scope and performance About the Platform This opportunity is available through a leading AI-driven work platform partnering with top AI labs and enterprises to train frontier models using human expertise.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Parsons is looking for amazingly talented Software Engineers to join our team! Join Parsons and build your expertise in the Counter-UAS and AI/ML fields. Are you interested in being at the forefront of two of the highest growth and most innovative areas of engineering today? Parsons is seeking dynamic and driven individuals to join our CUAS team and help build, test, and deploy the next generation of CUAS systems to protect both our warfighters and critical infrastructure and events here at home. As a Software Engineer at Parsons, you will play a crucial role in troubleshooting and developing technical solutions to some of the most pressing safety issues of our time. This position requires a blend of creativity, technical expertise, a collaborative mindset, and the ability to complete assignments with limited supervision. What You'll Be Doing: - Adding new features and capabilities to Parsons DroneArmor CUAS C2 Software product line. - Integrating new CUAS sensors and effectors with the DroneArmor CUAS C2 software. - Working with Application Programming Interfaces (APIs), ICDs, etc. to ensure seamless integration and functionality. - Processing data from sensors to improve their effectiveness via the application of AI/ML based analysis of raw sensor data. - Controlling sophisticated effectors specifically designed to counter emerging CUAS threats. - Adding and improving system automation to ensure operators are rarely required to intervene in system operation and collateral damage is minimized when drones are mitigated. - Leveraging internally developed, CUAS specific AI/ML capabilities to improve system automation and provide customers’ actionable insights into the drone activity in their area. - Diagnosing and developing technical solutions related to complex software issues discovered during internal testing or by customers using deployed systems. - Developing and deploying integrations with other higher and lower level C2 and data sharing tools. - Directly supporting the demonstration and deployment of Parsons CUAS capabilities that you have helped to develop to protect and save lives. Qualifications - Bachelor's Degree or equivalent work experience in computer science, engineering, mathematics or a related STEM discipline. - 5+ years of work experience showing elevating levels of responsibility. - Must have a current/active Secret clearance or the ability to secure one. - Expertise with Java software development. - Proficiency in developing and implementing custom software algorithms and applications. - Experience with Application Programming Interfaces (APIs). - Proficiency in coding interface messaging software components. - Experience in designing, testing, debugging and documenting software. - Familiarity with Ansible and open/modular SW engineering best practices. - Ability to work collaboratively in a team environment and independently when required. - Excellent verbal and written communication skills. Requirements - Experience with Atlassian Products & GIT. - Experience with Docker, Swing, React. - Expertise in AI/ML algorithm development and training. - Familiarity with one or more of the following disciplines: CUAS, Electronic Warfare (EW), LIDAR, Command & Control (C2), Radars, EOIR/Cameras and/or Communications Electronics. - Experience working with or developing Geospatial Systems and processing/transforming geospatial data. - Ability to mentor peers and share knowledge effectively. - Ability to work locally full time or hybrid in our Summit Point, WV CUAS Integration and Test Facility. - Willingness to travel occasionally to customer sites. - Languages: Python (Expert), C++ (Intermediate/Advanced). - Tools: Docker, Git, CMake, Confluence, JIRA. Bonus if experience with Jenkins and Artifactory. - Experience deploying ML models to edge devices. - Experience optimizing inference pipelines. - Experience curating custom datasets. Benefits - Best-in-class benefits such as medical, dental, vision, paid time off. - Employee Stock Ownership Plan (ESOP). - 401(k). - Life insurance. - Flexible work schedules. - Holidays to fit your busy lifestyle. Security Clearance Requirement An active Secret security clearance is required for this position.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking an experienced Adjunct Instructor to join Stepful on a contract basis to teach virtual didactic courses within our Board of Nursing–approved Practical Nursing program. In this role, you will support student success by delivering engaging online instruction that helps prepare future nurses for clinical practice and licensure. This opportunity is well suited for a Registered Nurse with faculty experience in RN or LPN education who enjoys teaching in a virtual classroom environment. Didactic courses take place Monday–Thursday from 6:30–9:00pm EST. This is a 1099 contract role, with hours varying based on the number of courses taught. - Teach live, virtual didactic lessons via Stepful’s LMS - Deliver curriculum content, answer student questions, and provide timely feedback - Act as a subject matter expert in practical nursing education - Foster a positive and supportive learning environment for students Qualifications - 2+ years of experience as faculty in an RN or LPN education program - 2+ years of professional experience as a Registered Nurse, with 5+ years of varied nursing experience across clinical practice, nursing education, and/or administration - Bachelor’s degree in Nursing (BSN) - Active, unencumbered Ohio RN license - Ability to collaborate effectively with faculty, staff, students, and external partners Benefits The hourly pay rate for this opportunity is $50.00/hour. Individual pay may vary from the target range and is determined by a number of factors including experience, internal pay equity and other relevant business considerations. Company Description Stepful is reimagining allied healthcare training by offering affordable, online, instructor-led, and AI-supported programs that help learners—regardless of background or circumstance—launch high-demand healthcare careers. - Partners with leading healthcare institutions to address the growing national shortage of healthcare workers - Graduates form the talent pipelines at major employers like CVS, NY-Presbyterian, HCA, Providence, and Walgreens - Backed by Y Combinator, Reach Capital, and AlleyCorp, with a recent $31.5M Series B led by Oak HC/FT - Named the #1 EdTech company in the U.S. by TIME for 2025 - Improving access to quality healthcare for everyone, everywhere, and improving access to healthcare careers for those who need them most

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Leidos Chief Data & Analytics Office (CDAO) is a high-growth organization at the center of the company's technology strategy. Our Operational AI (Ops.AI) division is seeking a motivated and talented Principal AI/ML Engineer to join our team. This role is critical for transforming innovative AI/ML models into the robust, production-ready solutions that power our nation's most mission-critical applications. This is an exciting opportunity for a hands-on engineer who excels at bridging the gap between data science and software engineering. You will be a technical leader responsible for the entire lifecycle of our AI/ML models; from design and training to deployment, optimization, and monitoring. You will work with a team of experts to build the scalable, high-performance, and trusted AI systems that help Leidos accelerate innovation and improve mission outcomes. - Lead the secure design, training, and deployment of a wide range of AI/ML models, ensuring they meet stringent performance, scalability, and security requirements for mission-critical applications. - Architect and manage secure automated MLOps pipelines for model monitoring, retraining, and lifecycle management to ensure continuous delivery and operational reliability. - Drive the optimization of model performance, scalability, and resource consumption in production cloud and on-premise environments. - Collaborate closely with data scientists, software engineers, and systems architects to translate model prototypes into hardened, production-grade solutions. - Champion software engineering best practices, including robust version control, comprehensive automated testing, and mature CI/CD processes. - Provide expert guidance and mentorship to other engineers on MLOps, software development, and operational best practices. - Stay current with industry trends in MLOps and operational AI to continuously evolve the team's capabilities and technical strategy. Qualifications - A Bachelor's degree in Computer Science, Engineering, or a related quantitative field with 12+ years of professional experience, or a Master's degree with 10+ years of relevant experience. - Demonstrated programming proficiency in Python and hands-on experience with major ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Experience with software engineering best practices and tools, including version control, automated testing, and CI/CD pipelines. - Solid understanding of the full machine learning lifecycle, from data preparation and model training to deployment and monitoring. - A understanding of cybersecurity principles as they apply to AI systems, including threat modeling and vulnerability assessment. - Must be a U.S. Citizen and have the ability to obtain and maintain a U.S. security clearance. Requirements - Experience with MLOps platforms such as MLflow, Kubeflow, or AWS Sagemaker. - Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). - Familiarity with Infrastructure-as-Code (IaC) tools like Terraform or CloudFormation. - Experience with large-scale data processing tools (e.g., Apache Spark). - Hands-on experience with a major cloud platform (AWS, Azure, or GCP). - Knowledge of AI ethics, responsible AI practices, and federal compliance standards (e.g., NIST, CMMC). - Knowledge of AI security frameworks such as MITRE ATLAS, and the NIST AI Risk Management Framework (AI RMF). - Contributions to open-source ML projects. Company Description If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting January 6, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.