ai data visualization specialist

ai strategy and enablement principal Jobs in Washington

ai strategy and enablement principal

ai trainer/data annotator - remote Jobs in Washington

ai trainer/data annotator - remote

ai training, mathematics Jobs in Washington

ai training, mathematics

ai video producer | hybrid | reston, va Jobs in Washington

ai video producer | hybrid | reston, va

ai training mathematics

DataAnnotation

<div>
 We are looking for an advanced mathematician to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert level of mathematical reasoning. Other related fields include, but are not limited to: Applied Mathematics and/or Computer Science.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning
 </li>
 <li>
 A current, in progress, or completed Master&rsquo;s or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #math
</div>

AI Training, Mathematics

GONZAGA COLLEGE HIGH SCHOOL

<div><div><ul><li>19 I Street Northwest, North Capitol Street, D.C., DC 20001, USA</li><li>
55,000-110,000 per year</li><li>
Salary</li><li>
Full Time</li></ul><div><div> 
</div></div></div><div>Gonzaga College High School

Full-Time Faculty Position Opening &ndash; Computer Science/Mathematics 
Gonzaga College High School is seeking an experienced, full-time high school Computer Science and Mathematics teacher beginning in the 2026-2027 school year.

Candidates will possess a minimum of a bachelor's degree in Computer Science, Mathematics or a related field; a master's degree is preferred. The ideal candidates will have at least three years of successful teaching experience at the high school or college level and be able to support the school's mission of building young men who are religious, loving, academically competent, open to growth, and committed to doing justice. Strong preference will be given to candidates with experience teaching AP Computer Science.

Gonzaga College High School is committed to leadership in multicultural education and a culturally diverse faculty and staff. The school therefore seeks applications from candidates who will contribute to an atmosphere in which all are valued and supported. The salary for this position ranges from $55,000 to $110,000 per year, depending on experience and qualifications. We also offer comprehensive healthcare benefits, including medical, dental, and vision coverage. 
Gonzaga is a Catholic, Jesuit, college preparatory school founded in 1821, for young men in grades nine through twelve located in Washington, DC. Gonzaga offers a challenging college preparatory curriculum that provides a broad range of major course offerings including honors and advanced placement courses, complemented by a selection of electives and co-curricular activities. Retreats and Christian service, in the Jesuit tradition, are the hallmark of a Gonzaga education. There are seventeen interscholastic sports teams at Gonzaga, as well as musical and dramatic performing arts ensembles, and many clubs and student organizations. 
A resume and cover letter are a required part of the application process. Cover letters should highlight relevant experience and particular areas of expertise in the discipline, provide a short statement of educational philosophy, and demonstrate how said experience, education and philosophy would add value to the community at Gonzaga College High School.</div></div>

Computer Science/Math Teacher

Humana

<div><h1 class="jobSectionHeader">Become a part of our caring community and help us put health first 
</h1>
We are seeking a strategic and forward‑thinking AI Strategy and Enablement Principal to lead our enterprise approach to AI delivery, governance, and risk. With AI at the forefront of our transformation, this role ensures that innovation accelerates responsibly by integrating AI and IT risk practices into every phase of the SDLC. You will oversee demand planning, maintain the enterprise inventory of AI initiatives, and provide a single‑pane‑of‑glass view into delivery progress, initiative health, and risk posture. As a senior advisor to executive leadership, you will shape our AI risk strategy, enable decision‑making, and ensure that rapid AI delivery aligns with our Responsible AI standards and enterprise risk tolerance.
We are seeking an experienced AI Strategy and Enablement Principal to lead our enterprise approach to AI delivery, governance, and risk oversight. This strategic role places AI at the forefront of our technology agenda&mdash;ensuring our rapidly expanding AI portfolio is delivered with speed, transparency, and Responsible AI discipline.
You will own the enterprise inventory of AI initiatives, manage demand planning, and provide a unified, single‑pane‑of‑glass view into AI project status, risks, performance, and health. You'll ensure decision‑makers have real-time insights while embedding robust IT and AI risk management practices into every stage of the SDLC.
As a trusted advisor to senior executives, you will shape risk strategy, guide major AI initiatives, and help the organization accelerate innovation responsibly.
Key Responsibilities<ul><li>
Lead enterprise-wide IT and AI risk assessment, mitigation, and governance, integrating controls throughout the SDLC.</li><li>
Maintain a centralized inventory of all AI initiatives, including demand intake, prioritization, and lifecycle tracking.</li><li>
Deliver a single‑pane‑of‑glass dashboard showing AI delivery progress, risk posture, model health, and resource capacity.</li><li>
Oversee AI demand planning and partner with technology and business leaders to sequence and align work.</li><li>
Define and manage KPIs for AI initiative health, including:</li><li>
Delivery velocity and cycle-time trends</li><li>
Model performance and drift indicators</li><li>
Responsible AI control adherence</li><li>
Capacity and resource alignment</li><li>
Business value realization</li><li>
Operational stability and incident trends</li><li>
Provide strategic recommendations to senior executives on AI risks, opportunities, and organizational readiness.</li><li>
Ensure accelerated AI delivery remains aligned with enterprise risk tolerance, regulatory expectations, and Responsible AI standards.</li><li>
Serve as an advanced subject matter expert, supporting multiple programs, lines of business, and technology domain</li></ul><h1 class="jobSectionHeader"> 

Use your skills to make an impact 

</h1>Required Qualifications<ul><li>
Bachelor's degree in a technical related field</li><li>
10+ years of technical experience</li><li>
2-5 years of project/people leadership</li><li>
5+ years of experience in IT Risk Management</li><li>
2+ years of experience at leading and influencing leaders related to transformational IT strategy</li><li>
1+ years of experience implementing or advising on AI related strategy</li></ul>
Preferred Qualifications<ul><li>
PMP, PgMP, or PMI‑ACP for advanced delivery leadership</li><li>
Demonstrated ability to manage a portfolio of AI initiatives and enforce prioritization, demand planning, and resource allocation processes</li><li>
Proven ability to influence senior executives on matters of technology, AI risk, and organizational strategy.</li><li>
Experience working with AI regulatory expectations (e.g., NIST AI RMF, EU AI Act principles, industry RAI standards).</li></ul>
Additional Information
Remote/WAH requirements:<ul><li>
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.</li><li>
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.</li><li>
Satellite and Wireless Internet service is NOT allowed for this role.</li><li>
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information</li></ul>
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. 

$156,500 - $215,300 per year 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<h1 class="jobSectionHeader"> 
About Us 
</h1>
Humana Inc. (NYSE: HUM) is committed to putting health first &ndash; for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health &ndash; delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. 
 
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.</div>

AI Strategy and Enablement Principal

Fannie Mae

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
 
Job Description
 
As a valued colleague on our team, you will provide expert advice and guidance to the team responsible for applying mathematical models, advanced tools or techniques (such as Python, R, and C++), and financial industry knowledge to business or financial data, including model results. Your efforts will enable the team to analyze or report on business performance, solve business questions, or inform business decisions. Work may include developing models or prototypes to achieve these goals, but is not the core focus in the role.
 
THE IMPACT YOU WILL MAKE
 
The SF CFO- Financial Engineering Lead Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
 
Develop approach to processing or analyzing large amounts of data efficiently using advanced financial engineering tools and techniques.
 Determine customer's intended uses for a financial analysis or model.
 Lead financial analysis or forecasting, which may include scenario or sensitivity analysis, stress testing, or attribution analysis.
 Execute models and/or interpret model results. Translate the results from the analysis or models for the customer into understandable conclusions.
 Work directly with model builders to vet new models, suggest changes to existing models, or analyze model performance data.
 Perform advanced data and systems analysis, validation, and regression testing
 
THE EXPERIENCE YOU BRING TO THE TEAM
 
Minimum Required Experiences
 
4 years of experience
 Desired Experiences
 
Bachelors Degree
 Strong background in Computer Science, Mathematics, or other STEM disciplines, with working knowledge of Finance and Business
 Proficiency in Python and/or R preferred
 Experience with artificial intelligence or machine learning preferred
 Excellent verbal and written communication skills, including presentation abilities
 Ability to communicate complex technical concepts in a clear and meaningful manner
 
Target Salary Range: $123,000 - $161,000 a year
 
Qualifications
 Active Directory (AD), Active Directory (AD), Amazon Web Services (AWS), Artificial Intelligence (AI), Artificial Intelligence Techniques, Atlassian JIRA, Authentication Management, Backup and Recovery (Software), Business Insight Skills, Business Process Management Skills, C++ Programming Language, Calendar and Scheduling Tools, Cleaning and Transforming Data, Cloud Technology, Collaborating Cross-Functionally, Communicating in Technical Writing, Communicating Technical Information, Communication, Configuration Management (CM), Conflict Resolution, Coordination, Customer and Market Insights, Customer Relationship Management (CRM), CyberArk, Cybersecurity Analysis {+ 74 more}
 
Education: 
Bachelor's Level Degree (Required)
 
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
 
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
 
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .
 
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here .
 
Requisition compensation: 
123000
 to
 161000

SF CFO - Financial Engineering - Lead Associate

Warrant Technologies, LLC

<div>Description:

The Software Engineer I supports software design, development, and maintenance tasks in a NAVSEA Program Office Support role. This role contributes to coding, testing, and technical documentation under senior engineering direction. 
This position is contingent upon award. Award is expected in 3-6 months.
Requirements: 
<ul><li>Academic or internship experience developing software in structured project environments.</li><li>Familiarity with source control, issue tracking, and software testing fundamentals.</li><li>Strong problem-solving and debugging skills.</li><li>Bachelor&rsquo;s degree in a quantitative field such as engineering or mathematics.</li><li>No required professional experience.</li><li>Ability to support software lifecycle tasks and follow engineering standards/processes.</li><li>Strong written and verbal communication skills.</li><li>Active DoD Secret clearance (or clearable to that level) required due to support for classified programs and facilities.</li></ul></div>

Software Engineer I

<div>Description:

The Software Engineer II/III develops, tests, and maintains software capabilities in a NAVSEA Program Office Support role. This role supports design implementation, defect resolution, and integration with broader system architectures. This position is contingent upon award. Award is expected in 3-6 months. 
Requirements: 
<ul><li>Experience with team-based software development in mission or enterprise environments.</li><li>Familiarity with Agile workflows and version-controlled development practices.</li><li>Exposure to API development, automated testing, and integration tasks.</li><li>Bachelor&rsquo;s or Master's degree in a quantitative field such as engineering or mathematics.</li><li>3+ years of professional software engineering experience.</li><li>Experience with programming concepts in professional or academic settings.</li><li>Experience applying modern software development methodologies (e.g., Agile, DevOps/DevSecOps).</li><li>Active DoD Secret clearance (or clearable to that level) required due to support for classified programs and facilities.</li></ul></div>

Software Engineer II/III

General Dynamics Information Technology

<div><div><div>Your Impact
Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.
Job Description<div>
The AI/ML Engineer is responsible for designing, developing, and implementing machine learning models and artificial intelligence solutions to solve complex problems, optimize processes, and enhance decision-making. They work closely with data scientists and software engineers to build scalable, efficient systems while leveraging advanced algorithms and large datasets.<ul><li>
Design, develop, implement and use machine learning algorithms and models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommendation systems.</li><li>
Collect, clean, and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality, integrity and relevance for model training and evaluation.</li><li>
Train, validate, and optimize machine learning models using state-of-the-art techniques and frameworks. Evaluate model performance, interpret results, and iterate on model design as needed.</li><li>
Extract, select, and engineer relevant features from raw data to improve model performance and generalization capabilities. Utilizes domain knowledge and data exploration techniques to identify informative features.</li><li>
Deploy machine learning models into production environments, integrating them with existing systems and applications. Implements scalable, efficient, and reliable solutions for real-time batch inference.</li><li>
Monitor model performance, reliability, and scalability in production environments, implementing automated monitoring and alerting systems to detect anomalies and performance degradation.</li><li>
Document technical designs, implementation details, and best practices for AI solutions.</li><li>
Collaborate with cross-functional teams to include data scientists, software engineers, product managers, and other stakeholders to understand requirements, prioritize projects and delivery impactful AI Solutions.</li><li>
Perform additional duties as assigned.</li><li>
May coach and provide guidance to less experienced professionals.</li><li>
May serve as a team or task lead.</li><li>
Works independently under general supervision</li></ul>
To qualify, you must meet these basic qualifications:
Required Skills<ul><li>
Bachelor&rsquo;s degree in relevant field and 5+ years of experience</li><li>
Analytical &amp; Programming</li><li>
Strong Python (data manipulation, model development; libraries like Pandas, NumPy, scikit-learn).</li><li>
SQL proficiency (joins, window functions, performance-aware queries).</li><li>
Statistical foundations (probability, hypothesis testing, regression, experimental design/A-B testing).</li><li>
Data Modeling</li><li>
End-to-end ML workflow experience (feature engineering, training, validation, deployment, monitoring).</li><li>
Data wrangling &amp; ETL/ELT (building reliable pipelines; handling messy, large datasets).</li><li>
Model evaluation (metrics selection, bias/variance trade-offs, error analysis).</li><li>
AI Integration w/ MLOps</li><li>
Hands-on API integration for AI services (e.g., calling model endpoints, building microservices).</li><li>
Production deployment of models (packaging, versioning, CI/CD for ML).</li><li>
Model monitoring (drift detection, performance tracking, retraining triggers).</li><li>
Cloud Platforms</li><li>
Experience with at least one major cloud (Azure, AWS, or GCP) for data/AI workloads.</li><li>
Familiarity with containers (Docker) and source control (Git).</li><li>
Data visualization skills (Power BI or Tableau) to communicate insights and outcomes.</li><li>
Communication</li><li>
System analysis skills to identify viable AI insertion points in processes, products, or workflows.</li><li>
Stakeholder communication (translating technical findings into business value and concrete recommendations).</li><li>
Documentation of models, assumptions, data lineage, and decisions.</li><li>
Governance/Security</li><li>
Responsible AI awareness (fairness, explainability, privacy, and compliance considerations).</li><li>
Basic understanding of data security and access controls in production environments.</li></ul>
Preferred Skills<ul><li>
Advanced AI/LLM</li><li>
Experience with LLMs (e.g., Azure OpenAI Service/OpenAI API) for summarization, classification, or copilots.</li><li>
Prompt engineering and evaluation of LLM outputs for quality and safety.</li><li>
RAG pipelines (retrieval-augmented generation), vector databases (e.g., Azure AI Search, Pinecone, FAISS), and embeddings.</li><li>
Fine-tuning or model adaptation strategies for domain-specific use cases.</li><li>
MLOps Engineering</li><li>
Model orchestration/experiment tracking (MLflow, Weights &amp; Biases).</li><li>
Kubernetes and ML deployment tools (e.g., AKS/EKS, Argo, KServe).</li><li>
Feature stores, A/B testing frameworks, and event-driven/streaming data (Kafka, Kinesis).</li><li>
CI/CD pipelines (GitHub Actions, Azure DevOps) and Infrastructure as Code (Terraform, Bicep).</li><li>
Data Platform Integration</li><li>
Databricks, Snowflake, or BigQuery experience.</li><li>
Building robust APIs (REST/GraphQL) and microservices around models.</li><li>
Monitoring &amp; Observability (Prometheus, Grafana; app &amp; model logs).</li><li>
Responsible AI &amp; Compliance</li><li>
Practical experience with model risk management, documentation standards, and explainability (SHAP, LIME).</li><li>
Knowledge of privacy-by-design and PII handling (data minimization, anonymization).</li><li>
(If applicable to the environment) familiarity with FedRAMP or regulated environments.</li><li>
Additional Languages/Tools</li><li>
R, PySpark, or Scala for data-intensive workloads.</li><li>
LangChain or Semantic Kernel for LLM app development.</li><li>
Tableau/Power BI advanced (parameterized dashboards, Row-Level Security).</li><li>
Ability to support 24x7 environment for business critical and contractual SLA impacting issues</li></ul>
Clearance: Candidates must be eligible to obtain a federal security clearance<div> 
GDIT IS YOUR PLACE 
At GDIT, the mission is our purpose, and our people are at the center of everything we do. 
<ul><li>Growth: AI-powered career tool that identifies career steps and learning opportunities</li><li>Support: An internal mobility team focused on helping you achieve your career goals</li><li>Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off</li><li>Flexibility: Full-flex work week to own your priorities at work and at home</li><li>Community: Award-winning culture of innovation and a military-friendly workplace</li></ul> 
OWN YOUR OPPORTUNITY 
Explore a career in data science and engineering at GDIT and you&rsquo;ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.</div>
</div></div><div><div><div>Work Requirements</div></div><div></div><div><div>
Years of Experience<div>
5 + years of related experience</div><ul><li>may vary based on technical training, certification(s), or degree</li></ul></div><div></div><div>
Certification</div><div>
Travel Required<div>
None</div></div></div></div></div><div>
Salary and Benefit Information<div>
The likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. 
View information about benefits and our total rewards program.</div>
About Our Work<div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</div></div></div>

AI/ML Engineer

Explore 338+ Ai training mathematics in Washington this March. Find roles across top companies and apply now to boost your career.