Role Description The successful candidate will support Dr. Weddle’s research on education policy implementation and systems change using collaborative, qualitative methods. Current projects examine state educational leadership and systems change, teacher pipeline initiatives, literacy policy, and efforts to improve opportunities for historically marginalized students, including multilingual learners. These projects emphasize close partnerships with practitioners, rigorous qualitative methods, and the production of scholarship that informs policy and practice. The postdoctoral scholar will contribute to multiple research projects based on need, interest, and alignment. Responsibilities include: - Conducting qualitative interviews and supporting additional data collection activities - Leading qualitative data analysis using collaborative coding and memoing approaches - Co-authoring peer-reviewed manuscripts, policy briefs, and practitioner-facing products - Supporting collaboration with research-practice partnership (RPP) partners - Mentoring graduate student researchers involved in data collection and analysis - Participating in regular research meetings and contributing intellectual leadership across projects The postdoctoral researcher will receive individualized mentoring in qualitative methods, collaborative research, academic and public scholarship, and career development. Depending on the candidate's interests, there will be opportunities to lead manuscripts, contribute to grant proposals, present at national conferences, mentor graduate students, and develop independent lines of scholarship. This position is a one-year remote position with the possibility to renew pending funding and performance. Qualifications - Ph.D. in Education, Education Policy, Sociology, Organizational Studies, Public Policy, or related field - Demonstrated expertise in qualitative research methods, particularly interview-based research - Interest in education policy implementation and educational equity - Experience collaborating with practitioners (e.g., districts, state agencies, community organizations) - Excellent organizational and project management skills - Commitment to collaborative, team-based research - Strong scholarly writing skills, including publications or manuscripts under review

• Source original news stories, trending topics and viral moments for short-form video production. • Identify high-quality UGC content with strong storytelling potential and secure permission where required. • Research stories in depth, adding context and finding additional information that helps create engaging, original content. • Work across multiple Pubity Group brands, with a particular focus on Pubity. • Support Facebook static content sourcing by identifying timely, engaging stories and images. • Work closely with the Content Research Manager and freelance researchers to maintain a constant pipeline of content opportunities. • Stay ahead of breaking news, internet trends and emerging conversations across social media. • Use AI tools, research platforms and trusted content partners to improve sourcing speed and quality. • Help shape sourcing processes and maintain a consistently high editorial standard.

Role Description We are seeking an experienced ML Engineer to join our team to build and scale automated evaluation and synthetic data generation (SDG) capabilities that support safety assessments across languages and markets. You will play a crucial role in training automated judges, developing validation techniques, building automated performance checks, and creating scalable approaches to analysis and reporting. You will be part of a team who works closely with language experts and multi-lingual annotators to validate automated approaches to safety evaluations, across diverse linguistic contexts. - Automated Judge Development: - Train, fine-tune, and validate automated judge models that can reliably score AI system outputs for safety and policy compliance. - Develop calibration and agreement metrics to ensure judges meet human-parity benchmarks. - Validation Techniques: - Design and implement validation frameworks to assess the accuracy, reliability, and cross-linguistic consistency of automated evaluation systems. - Develop methods to detect drift, bias, and failure modes in automated judges across markets. - Synthetic Data Generation: - Develop and maintain synthetic data generation pipelines to augment evaluation coverage, stress-test safety boundaries, and support evaluation in low-resource languages. - Ensure synthetic data is diverse, representative, and validated against human-generated benchmarks. - Scalable Analysis & Reporting Automation: - Create automated pipelines for analysis and reporting that reduce manual effort, increase reproducibility, and enable rapid cross-market safety assessments. - Build tooling that integrates with existing dashboards and reporting workflows. Qualifications - 3+ years of experience in an ML engineering or applied ML research role, with hands-on experience building and deploying ML models and pipelines. - Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). - Experience training, fine-tuning, and evaluating language models and/or classifiers, including prompt engineering and model calibration. - Experience building automated data processing, evaluation, or monitoring pipelines. - Comfortable with experiment design and statistical validation of model performance across segmented samples. - Able to work independently as well as collaboratively with minimal direction. - Organized, highly attentive to detail, and manages time well. - Experience with synthetic data generation techniques, including data augmentation, paraphrasing, and controlled generation methods. - Experience with multilingual NLP, cross-lingual transfer learning, or low-resource language modeling. - Familiarity with evaluation-as-a-service architectures or automated red teaming frameworks. - Experience with large-scale distributed computing (e.g., Spark, Ray, or cloud-based ML platforms). - Prior experience in AI safety, responsible AI, content moderation, or trust and safety domains. - Experience with CI/CD integration for ML model validation and deployment. - Advanced degree (MS/PhD) in Computer Science, Machine Learning, Natural Language Processing, or a related field. Benefits - Opportunity to work on cutting-edge projects. - Work with a highly motivated and dedicated team. - Competitive salary. - Flexible schedule. - Benefits package - medical insurance, vision, dental, etc. - Corporate social events. - Professional development opportunities. - Well-equipped office.

Role Description This is a remote position. Do you love digging into a market, sizing up the competition, and coming back with a clear-eyed recommendation? Are you the kind of person who can research five different business models in a week, keep a founder on track without being asked twice, and turn a messy idea into a structured plan? If you thrive on ambiguity, enjoy building things from scratch, and want a front-row seat as new ventures take shape, this opportunity could be the perfect fit for you. The Role: Business Development & Research Virtual Assistant Imagine being the research partner and accountability system behind a founder exploring what to build next. Every market you scan, every expert you interview, and every report you deliver helps turn a rough idea into a business with real legs. You're not just gathering information. You're helping evaluate which ventures are worth pursuing, whether that's a consulting practice, an AI-powered product, a real estate play, or something not yet on the table. From researching competitors to setting up the compliance backbone a new entity needs, your work directly shapes which ideas move forward and how well they're built. You thrive on structure in unstructured situations, are comfortable reaching out to strangers for insight, and don't wait to be told the next step. Whether you're comparing three business models side by side, chasing down a deadline, or drafting the first SOP for a brand-new process, you bring rigor, initiative, and follow-through to everything you touch. What Your Days Might Look Like: - Conduct extensive research on potential business ventures, including consulting services, AI applications, real estate development, and other entrepreneurial opportunities. - Help identify and evaluate 2-3 initial business ideas by researching market viability, competition, and potential profitability. - Reach out to industry experts and mentors to gather professional insights and recommendations for business development. - Prepare detailed reports with pros-and-cons analysis for each business concept under consideration. - Assist in developing systems, processes, and compliance frameworks from the ground up to ensure strong business foundations. - Hold the founder accountable for project timelines and deadlines, proactively following up on milestones and deliverables. - Support in setting up legal entity structures and ensuring compliance with government regulations at the state, municipal, and federal levels. - Collaborate on creating SOPs and training structures as the business develops. - Work across multiple projects simultaneously once initial ventures are established. - Present findings clearly and be prepared to discuss recommendations during regular check-ins. - Ask clarifying questions proactively to avoid misunderstandings and keep projects moving forward. - Adapt to ambiguity and stay comfortable working in an evolving startup environment where processes are still being defined. Qualifications - Strong research and analytical skills, with the ability to conduct thorough market research and present well-thought-out findings. - Ability to work independently with minimal supervision and are self-motivated to complete tasks without constant oversight. - Confident communication skills, comfortable reaching out to experts and stakeholders to gather information and insight. - Ability to prepare clear, detailed, well-organized written reports. - Experience developing ideas from concept to execution, or supporting someone who has successfully built ventures from the ground up. - Comfortable holding others accountable, including proactively following up on deadlines and deliverables. - Organized and able to manage multiple projects, priorities, and open threads at once. - Resourceful when researching unfamiliar industries, tools, or regulatory requirements. - Comfortable with ambiguity and can bring structure to a process that's still being defined. - Enjoy collaborating and thriving in a remote team environment. - Willing to work in a US time zone schedule. Requirements - At least a 720p HD webcam. - A noise-canceling headset. - A primary internet connection of at least 25 Mbps. - A backup laptop, backup internet device, and backup power source. - A main computer with at least Intel Core i5 (or equivalent) and 8 GB RAM. - A backup computer with at least Intel Core i3 and 4 GB RAM. Benefits - Fair and timely compensation. - Prepaid HMO coverage for your peace of mind. - Growth opportunities with tools, training, and honest feedback. - Celebration of your wins. - A caring work environment. Company Description At ClearDesk, you’ll work with clients who respect your time and value your skills. You’ll join a remote-first team that genuinely supports you, and you’ll see the impact of your work in real, tangible ways that matter to the people you work with. We don’t just want you to do your job. We want you to grow with us, stay with us, and feel proud of the difference you’re making. Ready to be part of something that matters? Apply now and start your journey with ClearDesk. Important Reminder: ClearDesk does not ask for any monetary payments or fees as part of our employment process. If you encounter any request for payment, please disregard it and report it to us immediately. For your security, please ensure that all communications are conducted through emails originating from (@cleardesk.com or @cleardeskteam.com). Disclaimer: Candidates who apply for this position may be re-profiled to similar roles depending on their qualifications, experience, and current market demand.