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br 2620 bridge data ai engineering graduate intern

World Wildlife Fund

<div>Overview:
<div><b>
WWF Overview</b></div><div>
For 60 years, WWF has worked to help people and nature thrive. As one of the world&rsquo;s leading conservation organizations, WWF works in nearly 100 countries, connecting cutting-edge conservation science with the collective power of our partners in the field &ndash; nearly one million supporters in the United States and five million globally, as well as partnerships with communities, companies, and governments.</div><div></div><div><br>
At WWF, we are working to create an organization where the richness of all our unique views, experiences, and backgrounds combine to create the most sustainable and inclusive conservation outcomes possible, bringing the greatest benefit to the planet and every person who lives on it.</div><div></div><div><br>
Across the many cultures and individuals that represent WWF, we are unified by one mission, one brand, and one common set of values: Courage, Respect, Integrity and Collaboration.</div><div></div><div><br>
BRIDGE is WWF&rsquo;s summer internship program. Launched in 2021, it is a paid internship opportunity aimed at a pool of talented undergraduate and graduate students who could bring fresh thinking and innovation to the environmental sector. In particular, WWF aims to employ interns who have not previously had a breadth of professional experience and have not previously considered conservation as a career pathway.</div><div></div><div><b><br>
Position Summary</b></div><div>
WWF seeks a BRIDGE Wildlife Detection Technology Operationalization Graduate Intern.</div><div></div><div><br>
Join the Data and AI team at WWF and contribute to a team at the forefront of conservation technology. Our team is dedicated to leveraging the power of data and artificial intelligence to address the planet's most pressing conservation challenges. We leverage a sophisticated Azure environment, providing the foundation for developing and deploying targeted data and AI solutions. These solutions support critical use cases across WWF, enabling data-driven decision-making and amplifying our conservation impact. As an intern, you will be immersed in a collaborative and innovative environment, working alongside experts in data science, engineering, and conservation. This is a unique opportunity to apply your technical skills to real-world problems and contribute to a global movement for a sustainable future.</div>
Responsibilities:
<div><b>
Internship Description:</b></div><div>
As a BRIDGE Data and AI Engineering Graduate Intern, you will be an active member of our team, contributing to impactful projects that have a direct influence on our conservation efforts worldwide. Your primary responsibilities will include researching the latest advancements in AI products and technologies, and applying this knowledge to build custom machine learning and Generative AI solutions. You will have the opportunity to work with a diverse range of data, including both structured and unstructured datasets, to address specific conservation use cases. This could involve anything from analyzing satellite imagery to track deforestation to developing natural language processing models to understand community-based conservation reports. You will be involved in the entire project lifecycle, from conceptualization and architecture design, to development implementation and impact assessment. This internship provides a unique platform to develop your technical skills, gain hands-on experience in the rapidly evolving field of AI, and make a tangible difference in the fight to protect our planet.</div>
Qualifications:
<div>
Minimum Requirements:</div><ul><li>
Pursuing a graduate program in Machine Learning, Data Analytics, Data Science or similar. Those studying outside these areas are still highly encouraged to apply. <b>Must be an actively enrolled student and not received degree at time of internship start date (June 1, 202</b><b>6</b><b>).</b></li><li>
Identifies and aligns with WWF&rsquo;s core values: Courage, Integrity, Respect, and Collaboration.</li><li>
Demonstrates courage by speaking up even when it is difficult, or unpopular.</li><li>
Builds trust with colleagues by acting with integrity, owning mistakes, and holding oneself accountable.</li><li>
Welcomes other points of view and ideas, recognizing and embracing different and contrary perspectives with kindness, curiosity, and encouragement.</li><li>
Makes conscious efforts to promote cooperative practices, behaviors, and ways of working across many groups and individuals.</li><li>
Familiarity with cloud computing concepts.</li><li>
Coding proficiency in Python or R.</li><li>
Coding proficiency in SQL.</li><li>
Proficiency with Machine Learning algorithms and the ability to identify and apply the optimal algorithm to solve a given problem.</li></ul><div></div><div><b><br>
Learning Outcomes</b></div><div>
By the end of this internship, the intern will have gained valuable hands-on experience and developed a diverse set of skills, including:</div><ul><li>
Real-World AI Implementation: Direct experience in designing, building, and deploying AI and machine learning solutions to address tangible, real-world conservation challenges.</li><li>
End-to-End Solution Development: Proficiency in conceptualizing and implementing end-to-end data solutions using the Microsoft Azure suite, including Azure Fabric for data warehousing and PowerBI for data visualization and reporting.</li><li>
Generative AI Expertise: In-depth knowledge and practical application of Large Language Models (LLMs) such as Llama, GPT, Gemini, and Claude, including the development of Retrieval-Augmented Generation (RAG) and Agentic AI systems.</li><li>
Vector Database Management: Hands-on experience with vector databases for managing and querying unstructured data, a critical component of modern AI applications.</li><li>
Project Management: Foundational project management skills, including project planning, execution, and stakeholder communication in an agile environment.</li><li>
Professional Communication: Enhanced ability to articulate and present complex technical concepts and project outcomes to both technical and non-technical audiences.</li><li>
Interpersonal &amp; Collaboration Skills: Experience working effectively within a dynamic, cross-functional team, contributing to a shared mission and fostering a collaborative work environment.</li></ul><div></div><div><br>
WWF interns will be offered a set of professional development opportunities, aimed at increasing their exposure to conservation and sustainability careers. This includes:</div><ul><li>
Development discussions with their manager;</li><li>
Up to two online courses through Cornell University&rsquo;s eCornell program;</li><li>
Speed mentoring with different WWF teams;</li><li>
Opportunity to present their work to intern peers and WWF staff;</li><li>
Session on resume and interviewing best practices.</li></ul><div></div><div><br>
Interns will also have access to an array of networking opportunities. This includes meetings with WWF&rsquo;s staff and leadership team.</div><div></div><div><b><br>
Location:</b></div><div>
This position is flexible on location. The intern may complete the internship either in Washington DC or other states, with the exception of: Hawaii, Kentucky, Nevada, Oklahoma, Wyoming.</div><div></div><div><b><br>
Compensation:</b></div><div>
Paid - $23 per hour (full-time, 35 hours per week)</div><div></div><div><b><br>
Internship Dates:</b></div><div>
Internship will run from June 1 to August 7, 2026</div><div></div><div><b><br>
How to Apply:</b></div><div>
Please submit a resume &amp; cover letter through our Careers page. In your cover letter, please describe:</div><ul><li>
Your relevant skills and interest for this position</li><li>
Your connection to nature and the environment</li><li>
How you could contribute to the field of conservation.</li></ul><div></div><div><br>
If selected for the role, you will need to provide 1 letter of recommendation as part of the WWF application process.</div><div></div><div><b><br>
This job will be posted and open for applications until Monday, </b><b>March 16 11:59 PM Eastern Standard Time.</b></div><div></div><div><b><br>
Please note:</b> Applicants must be legally authorized to work in the U.S. This position is not eligible for employment visa sponsorship. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.</div></div><div></div>

BR-2620 BRIDGE Data & AI Engineering Graduate Intern

<div>Overview:
<div><b>
WWF Overview</b></div><div>
For 60 years, WWF has worked to help people and nature thrive. As one of the world&rsquo;s leading conservation organizations, WWF works in nearly 100 countries, connecting cutting-edge conservation science with the collective power of our partners in the field &ndash; nearly one million supporters in the United States and five million globally, as well as partnerships with communities, companies, and governments.</div><div></div><div><br>
At WWF, we are working to create an organization where the richness of all our unique views, experiences, and backgrounds combine to create the most sustainable and inclusive conservation outcomes possible, bringing the greatest benefit to the planet and every person who lives on it.</div><div></div><div><br>
Across the many cultures and individuals that represent WWF, we are unified by one mission, one brand, and one common set of values: Courage, Respect, Integrity and Collaboration.</div><div></div><div><br>
BRIDGE is WWF&rsquo;s summer internship program. Launched in 2021, it is a paid internship opportunity aimed at a pool of talented undergraduate and graduate students who could bring fresh thinking and innovation to the environmental sector. In particular, WWF aims to employ interns who have not previously had a breadth of professional experience and have not previously considered conservation as a career pathway.</div><div></div><div><b><br>
Position Summary</b></div><div>
WWF seeks a BRIDGE Living Evidence for Grassland Management Graduate Intern.</div><div>
This project systematically maps and evaluates available research on grassland and grazing management effectiveness in North American ecosystems. The intern will help the Global Science and Great Plains Teams expand our understanding of how grazing management practices of cattle and bison impacts ecological aspects of grassland ecosystems, particularly in the case of ecosystem services. Uniquely, this project will be one of the first tests of LLM and AI techniques to semi-automate the development and updating of the science base to create a &ldquo;living&rdquo; evidence resource to continually inform WWF&rsquo; work on the area. They will support our efforts to develop and test an automated workflow for living evidence systems that can inform resilient and sustainable grassland management approaches in real-time. This work will be done in collaboration with WWF&rsquo;s Global Science Team, the Great Plains Team, and DataKind, a data science for social good nonprofit organization. Specifically, this work will leverage existing open-source tools for mapping evidence &ndash; including colandr and other commonly available LLMs.</div><div>
The work will include:</div><ul><li>
Reviewing research papers on cattle and bison management and ecological outcomes, regionally, to develop a training data set.</li><li>
Testing accuracy, performance, and reliability of AI tools for finding relevant studies and labeling pertinent topics and locations.</li><li>
Developing a searchable database of included studies alongside summarizing and visualizing other relevant datasets for interpretation.</li><li>
Developing and testing agents for answering questions about information contained in the resulting evidence map.</li></ul><div>
The work will culminate in (1) an interactive evidence database, (2) a report on AI tool performance for application in evidence synthesis in this discipline, and (3) a draft of questions that can be used in Microsoft Copilot as an agent to investigate patterns and insights in the resulting evidence database.</div>
Responsibilities:
<div><b>
Internship Description:</b></div><ul><li>
Learn about methods for effective and transparent evidence synthesis and apply them to conducting a desk-based evidence synthesis on grassland management in North America.</li><li>
Learn about methods for applying AI tools for evidence synthesis and test their performance and reliability for grasslands management research.</li><li>
Develop and implement a protocol for assessing accuracy, reliability, and efficiency of AI tools with partners at DataKind.</li><li>
Partner with the Great Plains team to validate outputs of AI tools and determine when and how to use AI tools in living evidence workflow.</li><li>
Visualize outputs of the evidence synthesis.</li><li>
Develop and test queries for a Microsoft CoPilot agent to generate insights from the evidence database with the Great Plains team.</li><li>
Present results and findings to the WWF Global Science, WWF-US Great Plains team, and DataKind in a final interactive seminar.</li></ul>
Qualifications:
<div>
Minimum Requirements:</div><ul><li>
Pursuing a graduate program in<b> </b>data science, information science, biology, environmental science, or agriculture.<b> </b>Those studying outside these areas are still highly encouraged to apply. <b>Must be an actively enrolled student and not received degree at time of internship start date (June 1, 202</b><b>6</b><b>).</b></li><li>
Identifies and aligns with WWF&rsquo;s core values: Courage, Integrity, Respect, and Collaboration.</li><li>
Demonstrates courage by speaking up even when it is difficult, or unpopular.</li><li>
Builds trust with colleagues by acting with integrity, owning mistakes, and holding oneself accountable.</li><li>
Welcomes other points of view and ideas, recognizing and embracing different and contrary perspectives with kindness, curiosity, and encouragement.</li><li>
Makes conscious efforts to promote cooperative practices, behaviors, and ways of working across many groups and individuals.</li><li>
Strong reading and writing skills.</li><li>
Some experience or exposure to conservation science or sustainable development (e.g. via coursework).</li><li>
An interest in working in a cross-disciplinary environment, conducting groupwork, and the ability (or interest in learning how) to translate research information to actionable insights.</li><li>
Familiarity with programming languages such as Python and understanding of computing environments.</li></ul><div></div><div><br>
Preferred Qualifications:</div><ul><li>
Subject expertise in one or more of the following areas is preferred, but not required:</li><li>
Past experience with conducting systematic evidence syntheses and meta-analyses.</li><li>
Knowledge of agricultural management approaches.</li><li>
Experience in developing analytical workflows and visualizations.</li><li>
Experience in investigating large-language models and AI approaches</li></ul><div><b>
Learning Outcomes</b></div><ul><li>
Conducting evidence reviews using robust systematic methods.</li><li>
Understanding applications and trustworthiness of AI for informing conservation evidence synthesis.</li><li>
Project management and coordination.</li><li>
Technical knowledge of grassland management and conservation.</li><li>
Experience in generating evidence insights for conservation decisions and programs</li><li>
Presentation and communication skills.</li><li>
Group work and collaboration.</li></ul><div></div><div><br>
WWF interns will be offered a set of professional development opportunities, aimed at increasing their exposure to conservation and sustainability careers. This includes:</div><ul><li>
Development discussions with their manager;</li><li>
Up to two online courses through Cornell University&rsquo;s eCornell program;</li><li>
Speed mentoring with different WWF teams;</li><li>
Opportunity to present their work to intern peers and WWF staff;</li><li>
Session on resume and interviewing best practices.</li></ul><div></div><div><br>
Interns will also have access to an array of networking opportunities. This includes meetings with WWF&rsquo;s staff and leadership team.</div><div></div><div><b><br>
Location:</b></div><div>
This position is flexible on location. The intern may complete the internship either in Washington DC or other states, with the exception of: Hawaii, Kentucky, Nevada, Oklahoma, Wyoming.</div><div></div><div><b><br>
Compensation:</b></div><div>
Paid - $23 per hour (full-time, 35 hours per week)</div><div></div><div><b><br>
Internship Dates:</b></div><div>
Internship will run from June 1 to August 7, 2026</div><div></div><div><b><br>
How to Apply:</b></div><div>
Please submit a resume &amp; cover letter through our Careers page. In your cover letter, please describe:</div><ul><li>
Your relevant skills and interest for this position</li><li>
Your connection to nature and the environment</li><li>
How you could contribute to the field of conservation.</li></ul><div></div><div><br>
If selected for the role, you will need to provide 1 letter of recommendation as part of the WWF application process.</div><div></div><div><b><br>
This job will be posted and open for applications until Monday, </b><b>March 16 11:59 PM Eastern Standard Time.</b></div><div></div><div><b><br>
Please note:</b> Applicants must be legally authorized to work in the U.S. This position is not eligible for employment visa sponsorship. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.</div></div><p></p>

BR-2618 BRIDGE Living Evidence for Grassland Management Graduate Intern

<div>Overview:
<div><b>
WWF Overview</b></div><div>
For 60 years, WWF has worked to help people and nature thrive. As one of the world&rsquo;s leading conservation organizations, WWF works in nearly 100 countries, connecting cutting-edge conservation science with the collective power of our partners in the field &ndash; nearly one million supporters in the United States and five million globally, as well as partnerships with communities, companies, and governments.</div><div></div><div><br>
At WWF, we are working to create an organization where the richness of all our unique views, experiences, and backgrounds combine to create the most sustainable and inclusive conservation outcomes possible, bringing the greatest benefit to the planet and every person who lives on it.</div><div></div><div><br>
Across the many cultures and individuals that represent WWF, we are unified by one mission, one brand, and one common set of values: Courage, Respect, Integrity and Collaboration.</div><div></div><div><br>
BRIDGE is WWF&rsquo;s summer internship program. Launched in 2021, it is a paid internship opportunity aimed at a pool of talented undergraduate and graduate students who could bring fresh thinking and innovation to the environmental sector. In particular, WWF aims to employ interns who have not previously had a breadth of professional experience and have not previously considered conservation as a career pathway.</div><div></div><div><b><br>
Position Summary</b></div><div>
WWF seeks a BRIDGE Organizational Development and Learning Undergraduate Intern.<b> </b>The Organizational Development and Learning Team (ODL) supports WWF-US by offering professional development programs, learning consultation, organizational development, and facilitation services in partnership with WWF-US People &amp; Culture and in cooperation with the WWF-US community. We aspire to promote a culture of continuous learning that builds capacity, engagement and retention at the individual, department, and organizational level.This intern will play a key role in helping the ODL team better understand, communicate, and strengthen the impact of internal learning programs. Working with existing data from a learning needs assessment and workshop evaluations (and supplementing it with staff interviews) the intern will identify patterns, gaps, and successes across learning offerings. The intern will also develop storytelling assets and practical assessment tools that enable ODL to clearly demonstrate learning impact, inform future program design, and elevate the team&rsquo;s visibility as the central hub for learning and development at WWF US.</div>
Responsibilities:
<div><b>
Internship Description:</b></div><div>
This intern will help turn real learning data into insights and stories that shape how people grow and learn at WWFUS. They will work with data the organization has already collected, such as a learning needs assessment and workshop evaluations, to identify trends, patterns, and opportunities across internal training programs.</div><div>
They will analyze both quantitative data (ratings, trends) and qualitative feedback (openended comments) to understand what skills staff value most, what&rsquo;s working well, and where learning experiences could be improved. To deepen this understanding, they will also conduct a small number of staff interviews to capture how learning shows up in daytoday work and what impact it has had.</div><div>
Using these insights, they will help create clear, engaging learning impact stories that communicate the value of ODL&rsquo;s programs to staff and leadership. They will also develop practical tools, such as templates and frameworks, that help the ODL team assess learning effectiveness and use feedback more consistently in the future.<b>
</b></div>Qualifications:
<div>
Minimum Requirements:</div><ul><li>
Pursuing an associate&rsquo;s or bachelor&rsquo;s program in Data Analytics, Organizational Development, Human Resources Management, or Business Administration (with HR, leadership, or management concentration. Those studying outside these areas are still highly encouraged to apply. <b>Must be an actively enrolled student and not received degree at time of internship start date (June 1, 202</b><b>6</b><b>).</b></li><li>
Identifies and aligns with WWF&rsquo;s core values: Courage, Integrity, Respect, and Collaboration.</li><li>
Demonstrates courage by speaking up even when it is difficult, or unpopular.</li><li>
Builds trust with colleagues by acting with integrity, owning mistakes, and holding oneself accountable.</li><li>
Welcomes other points of view and ideas, recognizing and embracing different and contrary perspectives with kindness, curiosity, and encouragement.</li><li>
Makes conscious efforts to promote cooperative practices, behaviors, and ways of working across many groups and individuals.</li><li>
Ability to read, organize, and synthesize information from multiple sources.</li><li>
Comfort working with data (Excel, surveys, or similar tools), or willingness to learn.</li><li>
Clear written communication skills.</li><li>
Thoughtful listening and basic interviewing skills.</li>
Attention to detail and ability to spot patterns and themes.<br>
<li>
</li></ul><div></div><div>Preferred Qualifications:</div><ul><li>
Subject expertise in one or more of the following areas is preferred, but not required:</li><li>
Strong curiosity and interest in how people learn and grow at work
</li><li>Self motivation and ability to manage tasks with guidance</li></ul><div></div><div><b><br>
Learning Outcomes</b></div><ul><li>
Data analysis skills using real organizational learning data</li><li>
Experience synthesizing quantitative data and qualitative feedback</li><li>
Interviewing and stakeholder engagement skills</li><li>
Storytelling and communication skills for professional audiences</li><li>
Exposure to organizational development and adult learning practices</li><li>
Experience translating insights into practical tools and recommendations</li>
Confidence working on projects that influence program design and strategy<br>
<li>
</li></ul><div></div><div>WWF interns will be offered a set of professional development opportunities, aimed at increasing their exposure to conservation and sustainability careers. This includes:</div><ul><li>
Development discussions with their manager;</li><li>
Up to two online courses through Cornell University&rsquo;s eCornell program;</li><li>
Speed mentoring with different WWF teams;</li><li>
Opportunity to present their work to intern peers and WWF staff;</li><li>
Session on resume and interviewing best practices.</li></ul><div></div><div><br>
Interns will also have access to an array of networking opportunities. This includes meetings with WWF&rsquo;s staff and leadership team.</div><div></div><div><b><br>
Location:</b></div><div>
US-DC-Washington</div><div></div><div><b><br>
**This is a hybrid position that requires the intern to be in the WWF Washington, DC Headquarters Office a minimum of 2 days per </b><b>week.*</b><b>*</b></div><div></div><div><b><br>
Compensation:</b></div><div>
Paid - $21 per hour (full-time, 35 hours per week)</div><div></div><div><b><br>
Internship Dates:</b></div><div>
Internship will run from June 1 to August 7, 2026</div><div></div><div><b><br>
How to Apply:</b></div><div>
Please submit a resume &amp; cover letter through our Careers page. In your cover letter, please describe:</div><ul><li>
Your relevant skills and interest for this position</li><li>
Your connection to nature and the environment</li><li>
How you could contribute to the field of conservation.</li></ul><div></div><div><br>
If selected for the role, you will need to provide one letter of recommendation as part of the WWF application process.</div><div></div><div><b><br>
This job will be posted and open for applications until Monday, </b><b>March 16 11:59 PM Eastern Standard Time.</b></div><div></div><div><b><br>
Please note:</b> Applicants must be legally authorized to work in the U.S. This position is not eligible for employment visa sponsorship. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.</div></div><div></div>

BR-2601 BRIDGE Organizational Development and Learning Undergraduate Intern

Elsevier

<div></div><div><div>Are you passionate about healthcare and technology and eager to gain hands-on experience in a collaborative and innovative environment this summer?</div><div></div><div>
Join our team as a Research Intern and contribute to innovations in nursing and patient engagement!</div><div></div><div>
About our Team</div><div></div><div>
Elsevier Health applies innovation, facilitates insights, and helps drive more informed decision-making for our customers across global health. We support health providers by providing accessible, trusted, evidence-based information. Clinical Solutions focuses on practicing clinicians, and the nursing team includes solutions to support professional development, point-of-care reference tools, and patient education content to support active practice.</div><div></div><div>
About the Role</div><div></div><div>
This internship is part of the Rising TIDE program. Elsevier created its Rising TIDE internship program to foster inclusion and provide individuals with work experience in the corporate world so that we can develop a pipeline of talent for entry-level individuals for post-graduation opportunities.</div><div></div><div>
Join our team as a Research Intern and contribute to strategies for nursing Continuing Professional Development (CPD) and patient engagement. You&rsquo;ll collaborate with a multidisciplinary team under the guidance of the Director of Clinical Strategy. Your insights will inform the development of tools and resources that will support nurses and improve patient care and outcomes.</div><div></div><div>
If you&rsquo;re passionate about leveraging evidence-based knowledge and digital health innovations&mdash;including AI&mdash;to advance care delivery and health outcomes, this role offers an exciting opportunity to make an impact.</div><div></div><div>
Location: This is a remote or home-based role, open to various locations in the Pacific, Mountain, and Central Time Zones.<br>
Program Dates: June 1, 2026- August 7, 2026<br>
Eligibility: Undergraduate or graduate students expected to graduate by May 2027.<br>
How to Apply: Candidates must submit a resume and application.</div><div></div><div>
Responsibilities</div><ul><li><div>
Learn and understand the Clinical Solutions strategic vision and guiding principles.</div></li><li><div>
Research healthcare market trends and evolving consumer health needs.</div></li><li><div>
Analyze data sets and share insights to inform clinical strategy and product development.</div></li><li><div>
Collaborate with cross-functional stakeholders to understand goals, workflows, and agile development processes.</div></li></ul><div></div><div>
Requirements</div><ul><li><div>
Be a current student pursuing a bachelor&rsquo;s or master&rsquo;s degree in business, public health, math, statistics, or a related field of study with a graduation date of May 2027.</div></li><li><div>
Possess proficiency in Microsoft Office, specifically PowerPoint and Excel, or have other spreadsheet proficiency or familiarity with structured data.</div></li><li><div>
Have experience with data analysis tools and techniques to analyze large datasets to find patterns.</div></li><li><div>
Be able to work collaboratively and communicate effectively within a multidisciplinary team.</div></li><li><div>
Proven critical thinking, problem-solving, and decision-making skills.</div></li><li><div>
Showcase openness to learning and contributing in a professional matrix environment.</div></li><li><div>
Proven experience or familiarity with digital health tools and their clinical impact is welcome but is not required.</div></li></ul><div></div><div>
About the Business</div><div></div><div>
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.</div><div></div><div>
Salary Range</div><div></div><div>
$28/hour for undergraduate students<br>
$30/hour for graduate students</div><div></div><div>
#risingtide</div><br>
This position is not eligible for benefits.
Application deadline is 03/13/2026.<div><br>
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our <div>Applicant Request Support Form</div> or please contact 1-855-833-5120.</div><div></div><div>
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams <div>here</div>.</div><div></div><div>
Please read our <div>Candidate Privacy Policy</div>.</div><div></div><div>
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.</div><div></div><div><i>
USA Job Seekers:</i></div><div><div>
EEO Know Your Rights</div>.</div></div><div></div>

Research Intern

<div>Overview:
<div><b>
WWF Overview</b></div><div>
For 60 years, WWF has worked to help people and nature thrive. As one of the world&rsquo;s leading conservation organizations, WWF works in nearly 100 countries, connecting cutting-edge conservation science with the collective power of our partners in the field &ndash;nearly one million supporters in the United States and five million globally, as well as partnerships with communities, companies, and governments.</div><div></div><div><br>
At WWF, we are working to create an organization where the richness of all our unique views, experiences, and backgrounds combine to create the most sustainable and inclusive conservation outcomes possible, bringing the greatest benefit to the planet and every person who lives on it.</div><div></div><div><br>
Across the many cultures and individuals that represent WWF, we are unified by one mission, one brand, and one common set of values: Courage, Respect, Integrity and Collaboration.</div><div></div><div><br>
BRIDGE is WWF&rsquo;s summer internship program. Launched in 2021, it is a paid internship opportunity aimed at a pool of talented undergraduate and graduate students who could bring fresh thinking and innovation to the environmental sector. In particular, WWF aims to employ interns who have not previously had a breadth of professional experience and have not previously considered conservation as a career pathway.</div><div></div><div><b><br>
Position Summary</b></div><div>
WWF seeks a BRIDGE Knowledge Management and Visual Design Undergraduate Intern.</div><div>
The Program Operations team is seeking a creative and detail-oriented intern to join the team and support the improvement of a departmental knowledge management system in SharePoint and training modules. In this role, the intern will collaborate with the Program Operations Senior Directors and subject matter experts to help transform existing intranet/Teams sites and training materials into visually appealing, user-friendly looking. The intern will be responsible for creating graphics, layouts, and other visual assets that enhance the user's experience while maintaining the integrity and clarity of the information being taught.</div>
Responsibilities:
<div><b>
Internship Description:</b></div><ul><li>
Work closely with the team to design and produce high-quality visuals and content for the intranet/Teams sites and the training materials.</li><li>
Organize and restructure backend files on intranet/Teams sites to ensure logical, user-friendly filing and easy navigation.</li><li>
Create graphics, infographics, and layouts to support the intranet/Teams sites and various training formats, including e-learning modules, presentations, and resource materials.</li><li>
Ensure designs are aligned with the overall training objectives and branding guidelines.</li><li>
Maintain consistency in design across different training modules and intranet/Teams sites.</li><li>
Revise and update visual elements based on feedback from internal stakeholders.</li><li>
Assist in any other design-related tasks as needed to support Program Operations department.</li></ul>
Qualifications:
<div>
Minimum Requirements:</div><ul><li>
Pursuing an associate&rsquo;s or bachelor&rsquo;s program in Graphic Design, Visual Communications, or a related field. Those studying outside these areas are still highly encouraged to apply. <b>Must be an actively enrolled student and not received degree at time of internship start date (June 1, 202</b><b>6</b><b>).</b></li><li>
Identifies and aligns with WWF&rsquo;s core values: Courage, Integrity, Respect, and Collaboration.</li><li>
Demonstrates courage by speaking up even when it is difficult, or unpopular.</li><li>
Builds trust with colleagues by acting with integrity, owning mistakes, and holding oneself accountable.</li><li>
Welcomes other points of view and ideas, recognizing and embracing different and contrary perspectives with kindness, curiosity, and encouragement.</li><li>
Makes conscious efforts to promote cooperative practices, behaviors, and ways of working across many groups and individuals.</li><li>
A strong portfolio showcasing graphic design skills while ensuring accuracy and consistency (academic or personal projects are acceptable).</li><li>
Excellent verbal and written communication skills.</li><li>
Strong organizational skills, ability to manage multiple tasks concurrently, and meet deadlines in a fast-paced environment.</li><li>
Proficiency in design software (e.g., Adobe Creative Suite, Canva, Figma, Microsoft PowerPoint, etc.) and an understanding of design principles such as typography, color theory, and layout.</li></ul><div>
Preferred Qualifications:</div><ul><li>
Subject expertise in one or more of the following areas is preferred, but not required:</li><li>
Ability to translate complex information into visually clear and engaging designs.</li><li>
Ability to develop fresh, innovative designs and think outside the box to enhance training content.</li></ul><div><b>
Learning Outcomes</b></div><ul><li>
Develop Proficiency in Design Software.</li><li>
Enhance Visual Communication Skills.</li><li>
Apply Design Principles to Educational Content.</li><li>
Collaborate with Cross-Functional Teams.</li><li>
Transform Complex Ideas into Engaging Visual Content.</li></ul><div></div><div><br>
WWF interns will be offered a set of professional development opportunities, aimed at increasing their exposure to conservation and sustainability careers. This includes:</div><ul><li>
Development discussions with their manager;</li><li>
Up to two online courses through Cornell University&rsquo;s eCornell program;</li><li>
Speed mentoring with different WWF teams;</li><li>
Opportunity to present their work to intern peers and WWF staff;</li><li>
Session on resume and interviewing best practices.</li></ul><div></div><div><br>
Interns will also have access to an array of networking opportunities. This includes meetings with WWF&rsquo;s staff and leadership team.</div><div></div><div><b><br>
Location:</b></div><div>
US-DC-Washington</div><div></div><div><b><br>
**This is a hybrid position that requires the intern to be in the WWF Washington, DC Headquarters Office a minimum of 2 days per </b><b>week.*</b><b>*</b></div><div></div><div><b><br>
Compensation:</b></div><div>
Paid - $21 per hour (full-time, 35 hours per week)</div><div></div><div><b><br>
Internship Dates:</b></div><div>
Internship will run from June 1 to August 7, 2026</div><div></div><div><b><br>
How to Apply:</b></div><div>
Please submit a resume &amp; cover letter through our Careers page. In your cover letter, please describe:</div><ul><li>
Your relevant skills and interest for this position</li><li>
Your connection to nature and the environment</li><li>
How you could contribute to the field of conservation.</li></ul><div></div><div><br>
If selected for the role, you will need to provide 1 letter of recommendation as part of the WWF application process.</div><div></div><div><b><br>
This job will be posted and open for applications until Monday, </b><b>March 16 11:59 PM Eastern Standard Time.</b></div><div></div><div><b><br>
Please note:</b> Applicants must be legally authorized to work in the U.S. This position is not eligible for employment visa sponsorship. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.</div></div><div></div>

BR-2616 BRIDGE Knowledge Management and Visual Design Undergraduate Intern

BigBear.ai

<div>Overview:
<div><b>
Ask Sage (BigBearAI Company)</b> is the leading Generative AI platform that augments the velocity of government and commercial teams with dozens of use cases from coding to cybersecurity to acquisition to data analysis and much more. Our FedRAMP High, DoD IL5, IL6 and Top Secret accredited cutting-edge technology enables teams to focus on strategic initiatives while we take care of the heavy lifting. We are seeking a highly experienced <b>Subject Matter Expert (SME)</b> in secure, hardened Generative AI to serve as a trusted advisor to our customers, leveraging deep expertise in the Generative AI landscape and the Ask Sage platform to drive mission-critical AI adoption and innovation. <b>The Subject Matter Expert &ndash; GenAI</b> serves as the authoritative voice on all matters related to the secure deployment, configuration, and optimization of Generative AI solutions within the customer&rsquo;s operational environment. The ideal candidate will possess an intimate understanding of the Generative AI field, including large language models (LLMs), retrieval-augmented generation (RAG), agentic AI architectures, and secure AI governance frameworks. This individual must demonstrate hands-on proficiency with the Ask Sage platform and possess the ability to develop and deliver
</div>What you will do:
<p><b>
Key Responsibilities:</b></p><ul><li>
Serve as the primary Subject Matter Expert on secure, hardened Generative AI for the customer, providing authoritative guidance on AI strategy, architecture, policy, and implementation aligned with the customer&rsquo;s mission objectives.</li><li>
Conduct comprehensive assessments of business processes, workflows, and mission requirements to identify high-impact opportunities where the Ask Sage platform can deliver measurable value and operational efficiencies.</li><li>
Provide expert-level training, workshops, and briefings to customer leadership, technical teams, and end users on Generative AI concepts, secure AI best practices, and effective utilization of the Ask Sage platform.</li><li>
Architect, develop, and demonstrate advanced Generative AI Agents, plugins, and automated workflows using Python, Claude Code, OpenClaw, and related frameworks within the Ask Sage ecosystem.</li><li>
Advise on and enforce security hardening practices for all Generative AI deployments, ensuring compliance with customer cybersecurity policies and all applicable federal security standards.</li><li>
Evaluate emerging Generative AI models, tools, and techniques, including but not limited to large language models, multimodal AI, and agentic frameworks, and provide actionable recommendations for secure integration into various customer environments.</li><li>
Develop and maintain comprehensive documentation, including solution architectures, security plans, standard operating procedures, and best practice guides tailored to the customer&rsquo;s unique operational and regulatory requirements.</li><li>
Collaborate with cross-functional teams, including cybersecurity, IT operations, data science, and mission stakeholders, to integrate Generative AI solutions into existing systems and infrastructure securely and effectively.</li><li>
Serve as a liaison between the customer and Ask Sage engineering teams, translating customer requirements into technical specifications and ensuring delivered solutions meet and exceed expectations.</li><li>
Stay at the forefront of the Generative AI field, continuously monitoring advancements in AI safety, alignment, prompt engineering, secure coding practices, and government AI policy to maintain subject matter authority.</li><li>
Implement best practices for code quality, security (including strong knowledge of common vulnerabilities such as prompt injection, data exfiltration, and model manipulation), and performance optimization across all AI solutions.</li><li>
Write clean, efficient, and maintainable code with an unwavering focus on security, data privacy, and compliance with all relevant customer&rsquo;s data handling requirements.</li></ul>
What you need to have:
<ul><li>Minimum of 7 years of relevant experience in software engineering, AI/ML, cybersecurity, or a closely related technical discipline; at least 2 years of focused experience in Generative AI technologies and secure AI deployment preferred.</li><li><b>
Clearance: Top Secret clearance required</b></li><li>
Demonstrated deep expertise in the Generative AI landscape, including large language models (e.g., Claude, GPT-series, open-source models), prompt engineering, RAG architectures, fine-tuning, and agentic AI frameworks.</li><li>
Hands-on experience with the Ask Sage platform, including the development of Agents, plugins, and automated workflows within the Ask Sage ecosystem is preferred.</li><li>
Proficiency in coding with Python and practical experience utilizing Claude Code and OpenClaw technologies to build, test, and deploy secure AI solutions.</li><li>
Strong knowledge of federal cybersecurity frameworks and compliance requirements, including but not limited to FedRAMP High.</li><li>
Ability to communicate complex Generative AI concepts clearly and persuasively to both technical and non-technical stakeholders, including senior government leadership.</li><li>
Strong project management skills with the ability to own initiative execution from start to finish, adapting to evolving customer needs and mission priorities.</li><li>
Must have the ability to work from the customer location on an as-needed basis, up to and including daily, with a willingness to travel as needed to meet customer and mission objectives.</li></ul>
What we'd like you to have:
<ul><li>Experience working within or supporting government customers or defense industrial base environments is preferred.</li></ul>
About BigBear.ai:
<div>
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai&rsquo;s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.</div><div></div><div><br>
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.</div></div><div></div>

Subject Matter Expert (Gen AI)

U.S. Chamber of Commerce

<b>About Us:</b><br>
If you are passionate about the ability of American business to improve lives, solve problems, and strengthen society, the U.S. Chamber of Commerce is the place for you. As the world’s largest business organization, we believe in building a future that gives everyone the opportunity to pursue a better tomorrow. We make it our job today–and every day–to build the strongest relationships possible among the American people, business leaders, and elected officials in Washington, D.C., state capitals, and countries around the globe. For them and the businesses we represent, the U.S. Chamber is a trusted advocate and partner.
<br>We are driven by the pursuit of innovation and partnership and hold ourselves to the highest standards. Our commitment to our members is matched only by our commitment to our employees. As part of our team, we will support your long-term career development while delivering relevant learning opportunities. We will empower you to lead, develop deep expertise, and find new approaches to solving the toughest challenges.
<br><br>
<b>Position Overview:</b><br>
The Data and AI Solutions Engineer will play a pivotal role in advancing the Chamber’s AI-first transformation by designing and delivering intelligent, data-driven solutions that enhance productivity, improve workflow efficiency, and strengthen value for internal team members. This hands-on engineering role partners closely with business teams to discover opportunities, reimagine processes, and build scalable AI-enabled capabilities using emerging and modern technology. The position blends applied AI knowledge, strong data fundamentals, and engineering discipline with exceptional communication and problem-solving skills. We welcome candidates who have developed AI or automation solutions independently or outside of their formal role and encourage applicants to share examples of their work or a portfolio.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Lead discovery sessions with business stakeholders to analyze workflows, identify pain points, and define measurable outcomes aligned with Chamber goals.</li>
<li>Map end-to-end processes, diagnose root causes, and develop redesigned workflows that leverage AI, automation, and intelligent orchestration.</li>
<li>Translate business needs into clear solution requirements, user stories, and technical designs.</li>
<li>Drive rapid prototyping cycles with business users and iterate quickly to deliver production-ready AI-enabled solutions.</li>
<li>Supporting organizational change by partnering with adoption leads to provide training, documentation, and continuous improvement feedback loops.</li>
<li>Design and implement AI-enabled solutions using Microsoft 365 Copilot, Copilot Studio, Power Automate, Power Apps, and M365 tools.</li>
<li>Build automated workflows, including approvals, notifications, and system integrations, using connectors, APIs, and custom patterns.</li>
<li>Define prompting strategies, grounding approaches, and evaluation frameworks for generative AI solutions.</li>
<li>Deliver presentations, demonstrations, and training sessions to drive adoption, build confidence, and support enablement across internal teams.</li>
<li>Collaborate with engineering, data, and platform teams to ensure that solutions align with enterprise architecture, security, privacy, and responsible AI standards.</li>
<li>Assess data quality, readiness, access boundaries, and suitability for AI use cases.</li>
<li>Monitor solution performance, develop telemetry and logging practices, and support operational reliability.</li>
<li>Maintain strong documentation for long-term supportability and governance compliance.</li>
</ul>
<b>Qualifications:</b><br>
Required
<br><ul>
<li>Minimum 4 years of experience designing and delivering workflow automation, AI-enabled process improvements, or intelligent orchestration solutions in a business environment.</li>
<li>Demonstrated experience leading solution design, stakeholder engagement, and end-to-end delivery of automation or applied AI capabilities with limited supervision.</li>
<li>Hands-on experience building and supporting automations across the Microsoft 365 ecosystem and Power Platform, including advanced Power Automate patterns.</li>
<li>Practical experience with low-code and automation orchestration tools such as n8n, Zapier, Workato, or Make, including multi-step workflows, API-based integrations, and error-handling patterns.</li>
<li>Applied experience developing generative AI-enabled solutions, including prompt strategies, grounding approaches, evaluation methods, and solution testing.</li>
<li>Strong understanding of data fundamentals, integration concepts, identity and access management, and API usage across modern SaaS platforms.</li>
<li>Proven ability to translate ambiguous business needs into actionable technical requirements and working solutions that deliver measurable outcomes.</li>
<li>Strong written and verbal communication skills with the ability to explain complex AI, data and automation concepts to both technical and nontechnical audiences.</li>
<li>Deliver presentations, demonstrations, and training sessions to drive adoption, build confidence, and support enablement across internal teams.</li>
</ul>
Preferred
<br><ul>
<li>Azure certifications such as Azure AI Engineer Associate, Azure Data Engineer Associate, Azure Developer Associate, or comparable Microsoft cloud credentials.</li>
<li>Experience building or extending custom connectors, integrating REST APIs, and developing reusable automation components.</li>
<li>Familiarity with security, privacy, responsible AI, data governance, and enterprise controls for AI and automation.</li>
<li>Exposure to Azure AI Services or Azure OpenAI for solution development.</li>
<li>Experience with scripting languages such as Python or JavaScript for data transformation, automation logic, or validation tooling.</li>
<li>Experience designing AI-enabled workflows using Microsoft 365 Copilot, Copilot Studio, or other Microsoft AI orchestration tools.</li>
<li>Experience working with Foundry platforms used for data integration, modeling, or AI solution development.</li>
</ul>
The salary range for this position is $134,475.00 to $180,000.00. The actual salary paid for this position will vary based on market data, an applicant’s qualifications, relevant degrees, certifications, and other factors. Our full-time employees are eligible for benefits, including health care, vision, dental, retirement, and paid leave.
<br><br>
We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
<br>#LI-Hybrid

Data and AI Solutions Engineer

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