ai alignment fellow

National Fair Housing Alliance

<div>
 <p>
  <strong>
   About National Fair Housing Alliance&nbsp;
  </strong>
 </p>
 <p>
  The National Fair Housing Alliance (NFHA) leads the fair housing movement and is the nation's only national organization exclusively dedicated to&nbsp;eliminating&nbsp;all forms of housing discrimination and ensuring&nbsp;equitable&nbsp;housing opportunities for all people and communities. We have a diverse, experienced, mission-driven, and impactful team that has developed equity-based policies at the federal, state, and local levels to expand fair housing opportunities; brought precedent-setting litigation to eliminate some of the most heinous forms of housing discrimination; conducted groundbreaking research to promote equitable solutions; and invested millions of dollars in underserved communities. We have solid relationships, built on trust, with national, regional, and local organizations, and we effectively draw upon these connections to reach vital goals. We are game changers that millions of people rely upon to advance fair housing.&nbsp;
 </p>
 <p>
  Where you live matters. It affects every aspect of your life and&nbsp;determines&nbsp;whether you have access to the options and opportunities we all need to thrive. Yet despite important existing federal laws, more than 4 million acts of housing discrimination occur in the U.S. each year, and housing inequality&nbsp;remains&nbsp;stubbornly entrenched. That is why&mdash;through its education and outreach, member services, public policy, advocacy, housing and community development, responsible AI, enforcement, and consulting and compliance programs&mdash;NFHA is dismantling longstanding barriers to equity, rooting out bias, and building diverse, inclusive, well-resourced communities.
  <br/>
  <br/>
  <strong>
   Position Summary
  </strong>
 </p>
 <p>
  The AI Alignment Fellow will advance original mathematical and computational research at the intersection of algorithmic fairness, civil rights law, and AI governance. This fellowship directly addresses a foundational challenge in responsible machine learning: the structural tension between individual fairness and group fairness in automated decision-making systems. Situated within the Responsible AI Lab&nbsp;of the National Fair Housing Alliance, the Fellow will contribute to&nbsp;investigating&nbsp;a unified theoretical framework &mdash; grounded in Lipschitz continuity&nbsp;constraints and&nbsp;distributional parity conditions &mdash; capable of characterizing when individualized least discriminatory alternatives (iLDA) imply or are implied by group-level fairness guarantees, and deriving tight bounds on the mappings between these two regimes.&nbsp;
 </p>
 <p>
  The Fellow will&nbsp;leverage&nbsp;large language models and AI-assisted research tools to accelerate formal mathematical inquiry, conduct comparative legal and policy analysis, and translate technical findings into accessible policy recommendations for civil rights practitioners, regulators, and technology developers. This is an intellectually ambitious role for a researcher who combines rigorous quantitative training with a commitment to computational justice. The Fellow will work in close collaboration with&nbsp;other teams, including&nbsp;Legal&nbsp;and Public Policy teams, and will be expected to contribute to peer-reviewed scholarship, public-facing technical reports, and stakeholder engagement activities that advance NFHA&rsquo;s mission of&nbsp;eliminating&nbsp;housing discrimination through responsible AI oversight.&nbsp;
 </p>
 <p>
  This fellowship position will report to the Chief AI Officer at NFHA, working full-time for a period of eight (8) weeks and expected to work in our DC Office on Pennsylvania Avenue on Mondays and Thursdays and may work remotely the remaining days of each week.
 </p>
 <p>
  <strong>
   Essential Job Functions&nbsp;
  </strong>
 </p>
 <p>
  <em>
   <u>
    Consultation
   </u>
  </em>
 </p>
 <ul>
  <li>
   <p>
    Collaborate with NFHA program staff, legal counsel, and external civil rights partners to&nbsp;identify&nbsp;high-priority algorithmic fairness problems in housing, lending, and related domains where the individual/group fairness tension has material legal or policy implications.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Advise internal teams and external stakeholders on the technical implications of competing fairness definitions, translating mathematical distinctions &mdash; such as the difference between demographic parity and equalized odds &mdash; into operationally relevant guidance for non-technical audiences.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Engage with peer researchers, policy advocates, and regulatory bodies to&nbsp;represent&nbsp;the Responsible AI Lab&rsquo;s research agenda, including participation in working groups, expert panels, and interagency consultations on AI accountability standards.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Support the Chief AI Officer in providing technical input to organizational partners deploying or auditing algorithmic systems in high-stakes civil rights contexts, including reviewing fairness&nbsp;audits&nbsp;and offering structured recommendations grounded in the Lab&rsquo;s research findings.&nbsp;
   </p>
  </li>
 </ul>
 <p>
  <em>
   <u>
    AI-Driven Mathematical Research
   </u>
  </em>
  &nbsp;&nbsp;
 </p>
 <ul>
  <li>
   <p>
    Employ AI-assisted research environments &mdash; including large language models, automated proof assistants, and symbolic computation tools &mdash; to investigate the conditions under which the set of individually fair mechanisms is a subset of, equivalent to, or disjoint from the set of group-fair mechanisms, and to derive or verify formal proofs of these inclusion relationships.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Develop and analyze tight functional bounds for the mappings that translate between individual fairness Lipschitz parameters and group fairness tolerance parameters across a range of metric space geometries, distributional assumptions, and subgroup family structures.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Investigate extensions of the core research problem to multi-attribute protected classes, intersectional subgroup families, and randomized mechanism settings, using AI tools to explore the combinatorial complexity of these configurations and&nbsp;identify&nbsp;tractable boundary conditions.&nbsp;
   </p>
  </li>
 </ul>
 <p>
  <em>
   <u>
    AI-Driven Law and Policy Research
   </u>
  </em>
 </p>
 <ul>
  <li>
   <p>
    Use AI-assisted legal research tools to systematically analyze how U.S. anti-discrimination law &mdash; including Fair Housing Act disparate impact doctrine, Equal Credit Opportunity Act standards, and Title VII jurisprudence &mdash; maps onto individual versus group fairness paradigms, identifying doctrinal gaps where current legal frameworks fail to account for the mathematical tension addressed in the research problem.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Conduct comparative policy analysis across domestic and international AI governance frameworks &mdash; including the EU AI Act, CFPB guidance on algorithmic lending, and emerging federal AI risk management standards &mdash; to assess how fairness definition choices are operationalized in regulatory compliance requirements and what implications formal mathematical findings carry for those frameworks.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Develop policy translation documents that&nbsp;render&nbsp;formal research findings in terms directly usable by civil rights enforcement agencies, fair lending compliance officers, and legislative staff engaged in algorithmic accountability rulemaking.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Monitor and synthesize emerging litigation, regulatory enforcement actions, and legislative developments related to algorithmic discrimination, using AI tools to&nbsp;maintain&nbsp;a structured knowledge base that informs both the Lab&rsquo;s research agenda and NFHA&rsquo;s advocacy and enforcement activities.&nbsp;
   </p>
  </li>
 </ul>
 <p>
  <em>
   <u>
    Documentation &amp; Communication
   </u>
  </em>
 </p>
 <ul>
  <li>
   <p>
    Co-author&nbsp;a&nbsp;peer-reviewed paper,&nbsp;one&nbsp;technical reports, and&nbsp;a&nbsp;white paper documenting research findings on the structural relationship between individual and group fairness, ensuring that all written products meet the standards of the algorithmic fairness, machine learning, and legal scholarship literatures as&nbsp;appropriate.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Produce accessible summaries, policy briefs, and public-facing communications that translate core mathematical findings for civil rights advocates, journalists, and policymakers, ensuring NFHA&rsquo;s research is legible and actionable for audiences without formal mathematical training.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Maintain rigorous documentation of AI-assisted research workflows &mdash; including prompting strategies, tool configurations, verification protocols, and reproducibility procedures &mdash; to support research integrity standards and to contribute to the Lab&rsquo;s developing best practices for responsible use of AI in formal mathematical inquiry.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Present research findings at academic conferences, practitioner convenings, and policy forums,&nbsp;representing&nbsp;the Responsible AI Lab&rsquo;s work to diverse audiences and contributing to the public discourse on computational justice, fair lending, and algorithmic accountability.&nbsp;
   </p>
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Qualifications and Competencies&nbsp;
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Doctoral degree in progress or conferred in&nbsp;Physics,&nbsp;Mathematics, Statistics, Computer Science, Operations Research, or a closely related quantitative discipline; candidates with a master&rsquo;s degree and&nbsp;demonstrated&nbsp;research experience in algorithmic fairness or formal machine learning theory will be considered.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Demonstrated familiarity with algorithmic fairness literature, including working knowledge of group fairness criteria (demographic parity, equalized odds, calibration) and individual fairness formulations grounded in metric spaces and Lipschitz continuity.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Prior exposure to or coursework in U.S. civil rights law,&nbsp;anti-discrimination frameworks, or AI governance policy is strongly preferred; experience working in or with civil rights organizations, regulatory bodies, or public interest technology contexts is a significant asset.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Evidence of research productivity&nbsp;appropriate to&nbsp;career stage, such as peer-reviewed publications, conference presentations, thesis work, or technical reports&nbsp;demonstrating&nbsp;the ability to produce original scholarship at the intersection of formal mathematical analysis and applied sociotechnical problems.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Proficiency&nbsp;in formal mathematical reasoning and proof construction, including measure theory, probability theory, metric space topology, and optimization, with the capacity to formalize and rigorously analyze fairness constraints of the type specified in the research problem statement.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Practical experience with AI-assisted research tools, including large language models used for literature synthesis, proof exploration, and code generation, as well as familiarity with symbolic computation environments such as Mathematica,&nbsp;SageMath, or equivalent platforms.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Programming&nbsp;proficiency&nbsp;in Python and/or R for statistical analysis, simulation, and implementation of algorithmic fairness methods; familiarity with fairness toolkits such as&nbsp;Fairlearn, AIF360, or equivalent libraries is preferred.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Ability to use AI-driven legal and policy research tools to systematically analyze regulatory texts, case law, and governance frameworks, and to synthesize findings across legal and technical literatures in an intellectually rigorous and citable manner.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Exceptional written and oral communication skills, including the demonstrated ability to translate highly technical mathematical content into clear,&nbsp;accurate, and compelling language for legal, policy, and advocacy audiences without sacrificing analytical precision.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Strong collaborative orientation and interpersonal effectiveness in cross-disciplinary environments, with the capacity to work productively alongside legal staff, civil rights advocates, data scientists, and senior organizational leadership in pursuit of shared research and mission&nbsp;objectives.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Intellectual humility and rigorous epistemic standards, including a commitment to acknowledging the limits of AI-assisted research outputs, verifying formally derived results through independent analysis, and&nbsp;maintaining&nbsp;transparent documentation of methods and assumptions.&nbsp;
   </p>
  </li>
  <li>
   <p>
    Deep personal commitment to equity, civil rights, and computational justice, with the professional maturity to engage responsibly with research that has direct implications for the protection of legally and historically marginalized communities in automated decision-making contexts.&nbsp;
   </p>
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Compensation and Benefits&nbsp;
  </strong>
 </p>
 <p>
  The compensation for this role is $10,000 for the duration of the 8-week fellowship.
  <br/>
  <br/>
  This fellowship does not include any additional benefits or leave accrual.
 </p>
 <p>
 </p>
 <p>
  <strong>
   How to Apply&nbsp;
  </strong>
 </p>
 <p>
  Interested applicants need to&nbsp;submit&nbsp;a&nbsp;resume&nbsp;and&nbsp;cover letter.&nbsp;Applications will be accepted until the position is filled.&nbsp;Please no phone calls and incomplete applications will not be considered.&nbsp;
  <br/>
  <br/>
  The earliest start date for this position is Monday, July 6, 2026.
 </p>
 <p>
 </p>
 <p>
  <strong>
   Affirmative Action / Equal Employment Opportunity Statement&nbsp;
  </strong>
 </p>
 <p>
  NFHA values and encourages diversity in its workforce. NFHA supports affirmative action and is dedicated to promoting equal employment opportunities. NFHA does not discriminate on the basis of race, color, religion, national origin, ancestry, citizenship, sex, age, marital status, personal appearance, sexual orientation, family responsibilities, disability, matriculation, political affiliation, or any other category or characteristic protected by the laws of the United States or the District of Columbia.
 </p>
</div>


AI Alignment Fellow

The Daily Caller

<p>The American Journalism Institute is seeking is seeking applicants for a full-time, salaried reporting fellowship at one of the country&rsquo;s most-read conservative news sites in the country.</p><p><b>Work within two blocks of the White House - Learn how to be a reporter on the national scene!</b></p><p>We strive to be the most innovative, successful, results-driven training ground for up-and-coming journalists in America. Our American Journalism Institute trains, mentors and launches the next generation of reporters, all while providing full time salary and benefits. As a Reporting Fellow you will investigate and tell stories that are overlooked or intentionally ignored due to media bias. Meanwhile, through our process and results, we make both the pragmatic and the emotional case for truth in journalism.<br/>We will train you to be a reporter who can deliver smart, incisive reporting on issues important to the American public.</p><p><b>Who are we looking for?</b></p><p>A candidate should excel in a fast-paced environment, meet tight deadlines, juggle multiple projects simultaneously, and build sources both in D.C. and across the country. The ideal candidate should:</p><ul><li>Be a driven, proactive &quot;self-starter&quot; with a passion for working on intense, high-impact tasks.</li><li>Possess integrity, understand the importance of journalistic trust, and be committed to reporting the truth no matter what.</li></ul><p><b>Responsibilities:</b></p><p>The primary responsibilities of this position will include:</p><ul><li>Content Creation: Research and write articles reflecting a depth of subject matter knowledge, and identify opportunities for telling stories on multiple platforms.</li><li>Reporting Strategy &amp; Vision: Work with editors to identify topics for reporting in alignment with an America First brand voice.</li><li>Quality Control: Ensure all published content meets high journalistic standards and aligns with the Daily Caller/Daily Caller News Foundation brand.</li></ul><p><b>Qualifications:</b>The candidate should be a strong problem-solver and a detail-oriented individual with proven writing skills. They should work naturally within a team environment and possess the ability to work with little supervision. In addition to these attributes, we prefer candidates with the following abilities:</p><ul><li>Education: A Bachelor's degree or equivalent subject-matter expertise, preferably in journalism or communications. Will consider other options.</li><li>Optional Digital Proficiency: Proficiency in content management systems (e.g., WordPress) and multimedia storytelling (video/audio).</li><li>Familiarity with social media platforms and experience in content creation.</li><li>Ability to maintain confidentiality.</li><li>Sense of purpose and humor.</li></ul><p>Job Type: Full-time</p><p>Pay: $45,000.00 - $50,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Vision insurance</li></ul><p>Work Location: In person</p>

American Journalism Institute Fellowship

Welo Data

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
 <br/>
 <br/>
 This is a high-impact production role focused on building the datasets that power real-world AI systems. You&rsquo;ll be working with audio, speech, and language data &mdash; helping ensure models are trained on accurate, well-structured, and representative inputs.
 <br/>
 <br/>
 While this role is more execution-focused than evaluation-heavy roles, it still requires
 <strong>
  strong judgment, attention to detail, and consistency
 </strong>
 . The work sits at the
 <strong>
  intersection of language, data, and AI systems
 </strong>
 &mdash; where precision and discipline matter at scale.
 <br/>
 <br/>
 We&rsquo;re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
 <br/>
 <br/>
 <strong>
  Project Details
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Job Title: Data Labeling Analyst
  </li>
  <li>
   Hiring in: Washington State (On-Site: Redmond, Seattle, or Bellevue)
  </li>
  <li>
   Hours: Full-time, 40 hours per week
  </li>
  <li>
   Employment Type: W2 Full-Time Employee
  </li>
  <li>
   Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  </li>
  <li>
   Pay Rate: $26 - $28/hour
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Important
 </strong>
 : This is a 100% onsite position &mdash; remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Execute high-volume data labeling and annotation tasks across speech and voice datasets
  </li>
  <li>
   Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  </li>
  <li>
   Work with audio and language data, including transcription, categorization, and tagging
  </li>
  <li>
   Maintain strong throughput while meeting quality expectations
  </li>
  <li>
   Escalate unclear or ambiguous cases appropriately
  </li>
  <li>
   Adapt to evolving guidelines and workflows as systems and requirements change
  </li>
  <li>
   Support baseline data production needs for AI training pipelines
  </li>
  <li>
   Contribute to team calibrations and quality alignment sessions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Professional-level fluency in Hungarian
  </li>
  <li>
   Strong written communication skills and language fundamentals
  </li>
  <li>
   1&ndash;2 years of experience in data labeling, annotation, or content-focused work
  </li>
  <li>
   Ability to follow detailed instructions and apply guidelines consistently
  </li>
  <li>
   High attention to detail and ability to maintain accuracy in repetitive tasks
  </li>
  <li>
   Comfort working in structured, process-driven environments
  </li>
  <li>
   Ability to manage time effectively and maintain steady output
  </li>
  <li>
   Willingness to ask questions and escalate when needed
  </li>
  <li>
   Basic familiarity with AI, speech technology, or language data is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Paid Sick Time &amp; Paid Holiday (combined): 15 days
  </li>
  <li>
   Paid Holidays: Memorial Day and Labor Day
  </li>
  <li>
   Medical, Dental, and Vision Insurance (eligibility applies)
  </li>
  <li>
   Health Savings Account (HSA)
  </li>
  <li>
   401(k) Retirement Plan
  </li>
  <li>
   Employee Assistance Program
  </li>
  <li>
   Additional voluntary benefits (life, accident, critical illness, etc.)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Onsite Perks (where Applicable)
  <br/>
  <br/>
 </strong>
 Free breakfast, lunch, and dinner
 <br/>
 <br/>
 Stocked micro-kitchens with snacks and beverages
 <br/>
 <br/>
 Commuter benefits, including shuttles and bike-to-work options
 <br/>
 <br/>
 Unique campus features depending on location
 <br/>
 <br/>
 <strong>
  Why This Role
  <br/>
  <br/>
 </strong>
 This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
 <br/>
 <br/>
 It&rsquo;s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
</div>


Data Labeling Analyst - Hungarian Speakers (Speech & Voice AI)

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
 <br/>
 <br/>
 This is a high-impact production role focused on building the datasets that power real-world AI systems. You&rsquo;ll be working with audio, speech, and language data &mdash; helping ensure models are trained on accurate, well-structured, and representative inputs.
 <br/>
 <br/>
 While this role is more execution-focused than evaluation-heavy roles, it still requires
 <strong>
  strong judgment, attention to detail, and consistency
 </strong>
 . The work sits at the
 <strong>
  intersection of language, data, and AI systems
 </strong>
 &mdash; where precision and discipline matter at scale.
 <br/>
 <br/>
 We&rsquo;re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
 <br/>
 <br/>
 <strong>
  Project Details
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Job Title: Data Labeling Analyst
  </li>
  <li>
   Hiring in: Washington State (On-Site: Redmond, Seattle, or Bellevue)
  </li>
  <li>
   Hours: Full-time, 40 hours per week
  </li>
  <li>
   Employment Type: W2 Full-Time Employee
  </li>
  <li>
   Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
  </li>
  <li>
   Pay Rate: $26 - $28/hour
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Important
 </strong>
 : This is a 100% onsite position &mdash; remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Execute high-volume data labeling and annotation tasks across speech and voice datasets
  </li>
  <li>
   Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
  </li>
  <li>
   Work with audio and language data, including transcription, categorization, and tagging
  </li>
  <li>
   Maintain strong throughput while meeting quality expectations
  </li>
  <li>
   Escalate unclear or ambiguous cases appropriately
  </li>
  <li>
   Adapt to evolving guidelines and workflows as systems and requirements change
  </li>
  <li>
   Support baseline data production needs for AI training pipelines
  </li>
  <li>
   Contribute to team calibrations and quality alignment sessions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Professional-level fluency in French
  </li>
  <li>
   Strong written communication skills and language fundamentals
  </li>
  <li>
   1&ndash;2 years of experience in data labeling, annotation, or content-focused work
  </li>
  <li>
   Ability to follow detailed instructions and apply guidelines consistently
  </li>
  <li>
   High attention to detail and ability to maintain accuracy in repetitive tasks
  </li>
  <li>
   Comfort working in structured, process-driven environments
  </li>
  <li>
   Ability to manage time effectively and maintain steady output
  </li>
  <li>
   Willingness to ask questions and escalate when needed
  </li>
  <li>
   Basic familiarity with AI, speech technology, or language data is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Paid Sick Time &amp; Paid Holiday (combined): 15 days
  </li>
  <li>
   Paid Holidays: Memorial Day and Labor Day
  </li>
  <li>
   Medical, Dental, and Vision Insurance (eligibility applies)
  </li>
  <li>
   Health Savings Account (HSA)
  </li>
  <li>
   401(k) Retirement Plan
  </li>
  <li>
   Employee Assistance Program
  </li>
  <li>
   Additional voluntary benefits (life, accident, critical illness, etc.)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Onsite Perks (where Applicable)
  <br/>
  <br/>
 </strong>
 Free breakfast, lunch, and dinner
 <br/>
 <br/>
 Stocked micro-kitchens with snacks and beverages
 <br/>
 <br/>
 Commuter benefits, including shuttles and bike-to-work options
 <br/>
 <br/>
 Unique campus features depending on location
 <br/>
 <br/>
 <strong>
  Why This Role
  <br/>
  <br/>
 </strong>
 This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
 <br/>
 <br/>
 It&rsquo;s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
</div>


Data Labeling Analyst - French Speakers (Speech & Voice AI)

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Job Requisition ID #</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
26WD97432<p></p><p><b>
Position Overview</b></p><p>
At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designing the experiences that make that mission a reality, especially in this transformative moment where seamless digital experiences and AI-powered innovation will empower customers and teams to achieve meaningful outcomes faster.</p><p></p><p>
Within the Experience Foundations team for AEC (Architecture, Engineering, and Construction), we are seeking a Senior Manager of Content Strategy to lead content strategy for our Design Solutions team. Design Solutions consists of several pivotal products and platforms for Autodesk including AutoCAD, Revit, Civil 3D, and Forma. Reporting to the Senior Director of Content Strategy, this role will lead and grow a team of content strategists to strategically shape best-in-class product design and deliver high-quality user experiences that are intuitive, personalized, contextual, and spark joy. They'll also create and foster a tight-knit team culture marked by close collaboration and shared approaches, craft development, innovation and experimentation, and empowerment and AI-enablement. They'll partner closely with Design, Product, Engineering, Research, and Operations, and other cross-functional partners, to ensure content strategy is engaging on the top priorities in ways that meet top customer needs and drive business outcomes.</p><p></p><p>
This moment requires us to work in new ways&mdash;using AI internally to improve how we operate, make decisions, and deliver experiences, while also building trusted AI capabilities that help our customers automate repetitive work, accelerate creativity, and unlock smarter, more connected workflows. To deliver on our vision, we need exceptional contributors and leaders who are curious, adaptable, customer-focused, and excited to help shape the future of work at Autodesk.</p><p></p><p><b>
Responsibilities</b></p><ul><li><p>
Manage a team of full-time content strategists and contractors to set and execute the content strategy across the Design Solutions portfolio ensuring strategic impact on the top priorities and driving coherence across interconnected journeys</p></li><li><p>
Lead, coach, inspire, and grow the Design Solutions Content Strategy team, fostering a tight-knit culture, high standards, innovation, experimentation, career development, and strong collaboration</p></li><li><p>
As part of the Senior Director of Content Strategy's leadership team, shape and support the AEC Content Strategy team by contributing to strategic initiatives, nurturing team culture, fostering learning opportunities, and mentoring members</p></li><li><p>
Oversee the delivery and management of clear, concise user interface text, in-product messaging, and product documentation and lead by example on key projects</p></li><li><p>
Guide the design of learning and onboarding experiences that are intuitive, approachable, personalized, contextual, and aligned with Autodesk&rsquo;s AI-forward product direction</p></li><li><p>
Define a clear vision for how content meets user needs, supports their business goals, reduces friction, and improves collaboration, comprehension, confidence, and task success</p></li><li><p>
Build and evolve scalable frameworks, standards, evaluation methods, and governance for UX content, terminology, voice, tone, and content quality</p></li><li><p>
Partner closely with Design, Product, Engineering, Research, Analytics, and Operations to ensure content is integrated early and effectively into the product development process on top priorities</p></li><li><p>
Develop scaling strategies including empowering partners, evolving approaches to support documentation, and leveraging AI</p></li><li><p>
Use customer insights, research findings, data, and business context to prioritize content opportunities and inform strategic decisions</p></li><li><p>
Drive alignment with senior stakeholders by translating ambiguous needs into clear plans, priorities, and measurable outcomes</p></li><li><p>
Champion accessibility, inclusivity, and plain-language principles across all content experiences</p></li><li><p>
Continuously explore and improve tools, methods, and AI-enabled ways of working that strengthen content quality, speed, innovation, and impact at scale</p></li></ul><p></p><p><b>
Minimum Qualifications</b></p><ul><li><p>
12+ years of experience in content strategy, UX writing, content design, conversation design, or related experience design disciplines</p></li><li><p>
5+ years of people management experience leading and developing high-performing content strategy teams</p></li><li><p>
Demonstrated experience designing or leading agentic and conversational experiences, including AI-assisted, chatbot, assistant, or guided interaction models</p></li><li><p>
Proficiency with AI tools and workflows, and sound judgment in applying them to content creation, iteration, and governance</p></li><li><p>
Proven experience shaping content strategy for complex product ecosystems, digital experiences, or enterprise software environments</p></li><li><p>
Strong expertise in content design principles, information clarity, content systems, and customer-centered writing for product experiences</p></li><li><p>
Track record of influencing cross-functional partners and driving alignment across Design, Product, Engineering, and Research</p></li><li><p>
Strong systems thinking and the ability to connect content decisions across end-to-end journeys, platforms, and customer touchpoints</p></li><li><p>
Excellent communication and storytelling skills, with the ability to present strategy, rationale, and recommendations to senior stakeholders</p></li><li><p>
Experience using research, metrics, and qualitative insights to evaluate content effectiveness and improve customer outcomes</p></li><li><p>
Commitment to accessibility, inclusive language, and building trusted customer experiences</p></li><li><p>
Bachelor&rsquo;s degree in English, Communications, Human-Computer Interaction, Design, Journalism, or a related field, or equivalent practical experience</p></li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li><p>
Experience in the AEC industry</p></li><li><p>
Passion for applying product design, AI, and content strategy to empower designers, makers, and builders</p></li></ul><p></p><div><div><div><div><div><div><div><p><b>
Learn More</b></p></div></div></div></div></div></div></div><p></p><p><b>
About Autodesk</b></p><p>
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</p><p></p><p>
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.</p><p></p><p>
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!</p><p></p><p><b>
Benefits</b></p><p>
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/</p><p></p><div><div><div><div><div><div><div><p><b>
Salary transparency</b></p></div></div></div></div></div></div></div>
Salary is one part of Autodesk&rsquo;s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $157,000 and $281,930. Offers are based on the candidate&rsquo;s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.<p></p><p><b>
Equal Employment Opportunity</b><b>
</b></p><p>At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.</p><p></p><p><b>
Diversity &amp; Belonging</b></p><p>
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging</p><p></p><p><b>
Are you an existing contractor or consultant with Autodesk?
</b></p><p>Please search for open jobs and apply internally (not on this external site).</p></div>

Senior Manager, Content Strategy, AEC, Design Solutions

Makpar Corporation

<div><div><div><b>Who we are:</b></div><div></div><div><br>
Makpar is a comprehensive professional and technical solutions provider for the Federal government. We combine functional and technical expertise in cloud engineering, data management, cybersecurity and emerging technologies to deliver mission success. We build the right IT solution for government clients by partnering with them to understand their WHAT, WHY, and HOW. Using our signature consulting methodology that we call &ldquo;The Makpar Way,&rdquo; we help agencies navigate the ongoing changes in the Federal technology landscape. We succeed where others fail because of our connected and engaged workforce are dedicated to delivering success for our clients and the American people.<br>
</div><div></div><br>
<div>Our Mission: We solve complex problems for the Federal government to accelerate access to citizen services.</div><div></div><div><br>
When it comes to excellence, we deliver. Learn more about our employer brand at makpar.com/careers.</div><div></div><div><p><br>
Makpar has an exciting opportunity for a Senior Data Scientist. The Senior Data Scientist will support enterprise data and analytics initiatives. This role requires expertise in <b>AI/ML development, Python, and advanced analytics </b>to guide teams and deliver enterprise-level analytics solutions. requirements.</p>
</div></div>
<div><div><h3 class="jobSectionHeader"><b>Key Responsibilities:</b></h3><div><div><div>
<ul><li>Provide <b>technical leadership </b>on analytics and AI/ML solutions.</li>
<li>Develop and deploy <b>machine learning models and predictive analytics</b>.</li>
<li>Use <b>Python, Anaconda, and Jupyter notebooks </b>for modeling and prototyping.</li>
<li>Collaborate with Data Engineers to integrate models with <b>data pipelines</b>.</li>
<li>Support <b>data governance </b>activities (tagging, metadata management, sharing).</li>
<li>Develop <b>RPA solutions </b>to automate business processes.</li>
<li>Evaluate analytics products to ensure alignment with mission objectives.</li>
<li>Communicate findings through dashboards, visualizations, and technical reports.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div><div><div>
<ul><li>Active <b>Secret clearance </b>(required).</li>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Mathematics, or related field.</li>
<li>7+ years of professional experience in <b>data science and AI/ML</b>.</li>
<li>Strong expertise in <b>Python, Jupyter, and Anaconda</b>.</li>
<li>Proficiency in <b>AI/ML frameworks </b>(TensorFlow, PyTorch, Scikit-learn).</li>
<li>Experience with <b>RPA tools </b>(UiPath, Automation Anywhere, or Python-based).</li>
<li>Familiarity with <b>Databricks, Apache Spark, and SQL</b>.</li>
<li>Excellent communication and stakeholder engagement skills.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Clearance Requirement</b></h3><div><div><div>
<ul><li>Active <b>Secret clearance </b>(required).</li>
</ul></div></div></div></div></div><div><div><b>Benefits:</b></div><div></div><div><br>
At Makpar Corporation we understand that we all need to balance work and life &ndash; that is why we have a great benefits package, excellent training and career development opportunities, flexible work schedules along with a generous compensation package. At Makpar, we believe in keeping our employees happy, healthy and engaged. We pride ourselves in providing outstanding benefits, creating environments where employees are encouraged to be themselves, collaborate, and be inquisitive in order to achieve goals.</div><div></div><div><br>
Start your career today and be a part of something meaningful!</div><div></div><div><br>
Makpar is an Equal Opportunity Employer.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Senior Data Scientist

Booz Allen Hamilton

<div>AI DevOps Engineer<p><b>
The Opportunity:</b><br>
Imagine using artificial intelligence (AI) to improve critical IT operations for warfighting and intelligence clients. As a DevOps engineer, you know how to create efficient and effective solutions&mdash;so you can quickly deliver the best operational data. Booz Allen is the leading provider of AI services to the nation, and we&rsquo;re looking for a DevOps engineer with knowledge of AIOps, MLOps, ModelOps, and DataOps to develop tools&mdash;and get them into the hands of those on the frontlines who need them most.</p><p></p><p>
On our team, you&rsquo;ll streamline IT operations to enhance platform productivity to improve intelligence utilization and dissemination. You&rsquo;ll automate operational AI workflows, creating, hosting, and updating cloud-based AI models to support mission-critical operations, working at the ground level to deliver solutions that matter. This is your opportunity to deepen your experience in AIOps and help solve our intel client's toughest problems.</p><p></p><p>
Are you ready to transform our nation's intelligence community with AIOps?</p><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li>
2+ years of experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments, including with Kubernetes, Docker, or Jenkins</li><li>
2+ years of experience with scripting languages, such as Python or Linux Shell Script</li><li>
Experience with artificial intelligence and machine learning frameworks for monitoring and optimization</li><li>
Experience with containerization and container orchestration platforms and tools</li><li>
Experience adding testing and security scans to pipelines</li><li>
Active TS/SCI clearance; willingness to take a polygraph exam</li><li>
Bachelor's degree</li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform</li><li>
Experience with integrating AI systems architecture, AI platforms, or MLflow</li><li>
TS/SCI clearance with a polygraph</li><li>
ML, DevOps, or Solution Architecture Certification</li></ul><p></p><p><b>
Clearance:</b></p><p>
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Candidate AI Usage Policy</b></p><p>
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on <b>your </b>own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited <b>unless permission is explicitly provided</b>.
</p><p></p><p><b>Work Model</b><br>
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.</p><ul><li><p><b>
Remote</b>: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</p></li><li><p><b>
Hybrid</b>: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</p></li><li><p><b>
Onsite</b>: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</p></li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

AI DevOps Engineer

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