About the Opportunity We are seeking Senior Finance Subject Matter Experts (SMEs) to support the evaluation and improvement of advanced Artificial Intelligence (AI) models. This is not a traditional finance role. You will leverage your real-world expertise to evaluate AI-generated financial reasoning, identify inaccuracies, validate complex financial analyses, and provide structured feedback that improves Large Language Models (LLMs). We are looking for professionals who can evaluate the work of other experienced finance professionals—not simply perform finance-related tasks. We Are Hiring Across Four Specializations Please apply only if your primary expertise aligns with one of the following: Investment Banking Quantitative Finance Financial Planning & Analysis (FP&A) Investment Research & Capital Markets Ideal Candidates We're looking for professionals with: 5+ years of professional experience (exceptional graduate-level quantitative candidates may also be considered for Quantitative Finance) Deep subject matter expertise within their specialty Strong analytical and critical thinking skills Excellent written English communication Experience reviewing complex financial analyses Familiarity with U.S. financial markets (preferred) AI evaluation, annotation, RLHF, or prompt engineering experience is a plus, but not required Requirements Available to begin project work as early as 6:00 AM Pacific Time (PST) when assigned Comfortable working in a project-based, ad-hoc environment Able to follow detailed evaluation guidelines while maintaining high quality standards Trial Gig Shortlisted candidates will complete a Trial Gig before joining the production project. Candidates who successfully pass the Trial Gig will be compensated and invited to join the project. Candidates who do not meet the required quality standards will not move forward on this project. Strong candidates may be considered for future AI opportunities.

We are seeking a senior, fractional Editor of Record (EoR) to oversee the integrity, methodology validation, and dissemination governance of our financial index products. Working a initial minimum hours per week escalating over next several months to full time as maturity of the role sets in , you will act as the final authority on index rulebook updates, methodology changes, and data publication accuracy. You will ensure strict alignment with global financial benchmark regulations while managing our fractional data analysts and quantitative researchers. Key Responsibilities Editorial & Governance Sign-Off: Serve as the final approval authority ("Editor of Record") for all published index constituents, rebalancing results, and corporate action adjustments. Methodology Supervision: Review, refine, and sign off on new index methodologies and rulebooks, ensuring they are transparent, replicable, and mathematically sound.Regulatory & Compliance Oversight: Ensure all index operations strictly comply with IOSCO Principles for Financial Benchmarks and regional regulatory frameworks (like EU BMR). Incident & Error Management: Lead the governance committee when handling data anomalies, market disruptions, or index restatements, making the final call on market communications. Stakeholder Communication: Author and review highly technical "Notices to Subscribers" regarding index rebalancing, methodology consultations, and corporate restructurings. Required QualificationsExperience: 10+ years in quantitative finance, index administration, or financial data editing (e.g., spent at firms like MSCI, S&P, Bloomberg, or a major financial news bureau). Regulatory Expertise: Deep operational knowledge of SEC, ESMA, and IOSCO benchmark regulations. Technical Literacy: Ability to audit underlying data structures; proficiency in advanced Excel is mandatory, while familiarity with Python or SQL data pipelines is highly preferred. Education: Bachelor’s or Master's degree in Finance, Economics, Data Science, or a related quantitative field. CFA designation is a strong asset.

We're Portfolio Lab, an AI-powered investing tool. We're building genuine, transparent community presence and looking for a community manager to own the strategy and run the day to day. Read this part first, it's the most important: we will only do this the honest way. No aged or purchased accounts, no sockpuppets, no undisclosed promotion, nothing that wouldn't survive the community knowing exactly who we are. If your approach depends on seeded comments or fake engagement, we're not a fit. Our audience is sophisticated, skeptical retail investors who gather in communities like r/investing and r/algotrading, on X (fintwit), and in Discord. These communities are allergic to marketing and quick to call out anything that feels like a pitch. Experience with finance/investing communities, or genuine fluency in that culture, is strongly preferred. The founder is a domain expert (former hedge fund quant) but is not active on these platforms and doesn't intend to be. So you would own the community strategy and tell the founder exactly what to do, while he supplies the substance and shows up authentically where it counts. We're looking for someone we can lean on to lead this, not someone who needs hand-holding. What you'd do: -Own the community strategy across Reddit, X, and Discord -Grow and manage our subreddit and presence in relevant communities -Plan content and engagement; tell the founder what to post and where -Track community health and what's actually driving genuine engagement To apply, please answer: -Describe a genuine community you grew that is still active today, and what kept it alive. -How would you approach a skeptical, anti-hype investing audience? -Do you use multiple or aged accounts, or undisclosed promotion, in any part of your work? Applications that don't answer these won't be considered.

We are seeking an experienced psychometrician, industrial-organizational psychologist, quantitative psychologist, assessment researcher, or related expert to advise us on the development of a technical manual for a proprietary assessment. About the Assessment Our assessment is designed to measure 36 behavioral attributes related to how individuals perform under stress, challenge, and uncertainty. The framework originated from research and observations in elite military performance environments and has since been applied in leadership, team development, and organizational settings. The current version of the assessment has been completed by approximately 1,500 respondents. Previous versions have been completed by many thousands more, though our focus is on the current production version. What We Need We are looking for an expert who can help us understand: * What evidence is needed to support a professional technical manual * What psychometric analyses should be conducted on the existing dataset * Whether additional validation studies are recommended * Best practices for documenting reliability and validity * How our assessment would compare to industry standards for assessment documentation * A roadmap for future validation efforts At this stage, we are not looking for someone to simply "write a manual." We are looking for someone who can review our assessment, discuss possible approaches, and help us determine the appropriate path forward. Ideal Background * Experience with psychometrics, assessment development, or psychological measurement * Experience conducting reliability and validity studies * Experience creating or contributing to technical manuals for assessments * Familiarity with workplace, leadership, personality, strengths, or behavioral assessments is a plus * Advanced degree (PhD preferred) in Psychology, Industrial-Organizational Psychology, Psychometrics, Measurement, Statistics, or a related field When applying, please include: * A brief summary of your relevant experience * Examples of assessment validation or technical manual projects you have worked on We are initially seeking consultation and guidance, with the potential for a longer-term engagement depending on fit and project scope.

Consumer Validation Study – Relationships, Trust & Health Technology Location: Boulder/Denver Metro Area (Hybrid) Compensation: $30–$40 per hour, depending on experience Project Duration: Approximately 6–10 weeks Hours: Flexible, estimated 10–20 hours per week Project Overview We are conducting a consumer research project to better understand attitudes toward trust, transparency, dating, sexual health communication, privacy, and emerging technologies designed to facilitate informed decision-making in intimate relationships. We are seeking an intelligent, professional, and personable researcher to recruit participants, conduct structured interviews, identify recurring themes, and help produce actionable market insights. This is not a sales position. The purpose is to understand how people think, what concerns they have, what they value, and whether a proposed technology solution addresses a meaningful need. Responsibilities Participant Recruitment Recruit a diverse pool of participants from a variety of demographic groups, including: Men and women Ages 21–29 Ages 30–39 Ages 40–49 Ages 50–65 Single individuals Divorced individuals Married individuals Active dating-app users Non-dating-app users College students Young professionals Parents LGBTQ+ participants Polyamorous/open relationship participants (where available) Various educational, socioeconomic, political, and cultural backgrounds The goal is to ensure broad representation rather than over-reliance on any single demographic group. Interviewing Conduct 15–30 minute structured interviews. Follow a standardized interview guide. Remain neutral and avoid influencing participant responses. Ask thoughtful follow-up questions when appropriate. Document both quantitative and qualitative feedback. Record interviews when participant consent is provided. Analysis & Reporting Maintain organized interview records. Identify recurring themes, objections, concerns, and opportunities. Summarize findings in weekly reports. Assist in refining survey questions based on interview findings. Help identify demographic trends and notable differences among groups. Qualifications Preferred backgrounds include: Psychology Sociology Anthropology Public Health Journalism Marketing Research Behavioral Economics Human-Centered Design Ideal candidates possess: Strong interpersonal skills Excellent listening ability Comfort discussing sensitive topics professionally Strong written communication skills Ability to identify patterns in qualitative data Experience conducting interviews, focus groups, surveys, or market research Deliverables The successful candidate will: Recruit approximately 100–150 participants. Conduct and document interviews. Maintain demographic tracking. Produce written summaries of findings. Present key insights and recommendations. Compensation $30–$40 per hour based on qualifications and experience. Potential bonus available for exceptional work, high-quality analysis, and successful completion of recruitment goals. How to Apply Please provide: Resume or CV Brief description of any research, interviewing, survey, or market analysis experience Why you believe you would be effective in this role Availability over the next two months

Running an Independent campaign in a military-heavy, D+15 district in the region around Norfolk VA.

Position Overview The Vermont Truth and Reconciliation Commission is seeking an experienced data analysis consultant to support the Commission’s research and final report process. This is a short-term consulting position expected to begin in mid-July 2026 and continue through mid-November 2026. The consultant may work remotely and does not need to reside in Vermont. Proficiency with NVivo qualitative data analysis software is required. Overarching responsibilities include, Reviewing the Commission’s existing data analysis process and offering recommendations for improvement, Assisting with strengthening the methodology, Conducting focused qualitative analysis using NVivo, Identifying relevant quantitative data, Providing organized findings that can be used by the Commission and its report-writing team. *This is primarily a data analysis and methodology position. Scope of Work The data analysis consultant will be responsible for the following: Review the Existing Data Process Review the VTRC’s research goals, report framework, and existing data analysis process. Review the current NVivo project, coding structure, coded materials, and available datasets. Identify strengths, gaps, inconsistencies, or limitations within the existing coding and analysis process. Recommend reasonable improvements that can be completed within the contract period and available budget. Develop a Data Analysis Methodology Develop a clear written methodology for analyzing the VTRC’s qualitative and quantitative data. Ensure the methodology is connected to the VTRC’s mandate, research goals, framework, and report needs. Explain how themes, trends, patterns, and limitations will be identified and documented. Recommend a process for connecting testimony and other qualitative evidence with available quantitative data. Document the methodology in plain language so it can be understood by Commissioners, staff, report contributors, and members of the public. Conduct Focused NVivo Analysis Use NVivo to conduct focused analysis of testimony, public submissions, research records, interviews, or other materials already included in the NVivo project. Run agreed-upon queries based on the VTRC’s research questions and report framework. Identify recurring themes, patterns, institutional practices, disparities, and relationships within the analyzed material. Review the underlying source material when needed to confirm that NVivo results are accurate and properly understood. Identify limitations in the available data or coding that may affect the strength of a finding. Complete the primary NVivo analysis and deliver the findings to the Commission no later than September 30, 2026. Recommend Additional Data Identify qualitative or quantitative data that has not yet been included in the Commission’s analysis process. Recommend quantitative data that may help provide context for the qualitative findings. Identify relevant public datasets, agency records, demographic information, or institutional data that may strengthen the Commission’s analysis. Prioritize recommendations based on relevance, accessibility, time, and the Commission’s remaining report schedule. Organize and Present Findings Prepare organized summaries of the major themes, trends, patterns, and limitations identified through the analysis. Develop findings matrices, charts, tables, visual summaries, or other tools that help the report-writing team understand and use the analysis. Present findings in plain language during meetings with Commissioners and staff. Clearly distinguish between findings that are strongly supported, emerging patterns that require further review, and areas where the available evidence is limited. Support the Report-Writing Process Prepare an analytical findings memorandum that summarizes the methodology, major findings, supporting evidence, data limitations, and recommended areas for further review. Provide outlines, findings summaries, tables, charts, and supporting materials that the Commission’s report-writing team can use when drafting the final report. Review limited portions of draft report language to confirm that the data and findings have been represented accurately. Respond to reasonable questions from Commissioners, staff, researchers, or report writers about the consultant’s analysis. The consultant will not be responsible for drafting the full qualitative and quantitative analysis for the final report. Any substantial report-writing assignment would require a separate scope of work, timeline, and budget. Expected Deliverables The final scope of work will be developed with the selected consultant. Expected deliverables may include: A review of the existing NVivo project, coding structure, and analysis process. A written qualitative and quantitative data analysis methodology. Recommendations for improvements to the existing coding and analysis process. A prioritized list of additional quantitative or qualitative data that may strengthen the Commission’s findings. Focused NVivo analysis based on agreed-upon research questions or report topics. Findings matrices, summaries, charts, tables, or other visual materials. An analytical findings memorandum describing: The methodology used Major themes and patterns Relevant quantitative context Supporting evidence Data gaps and limitations Questions or areas requiring additional analysis A presentation of findings to Commissioners and staff. Limited review of draft report language for accuracy and consistency with the analysis. Required Qualifications The successful consultant should have: Demonstrated proficiency with NVivo. Professional experience conducting qualitative data analysis. Experience developing research methodologies, coding frameworks, or data analysis plans. Experience reviewing or improving an existing qualitative coding process. Experience working with quantitative data or interpreting quantitative findings alongside qualitative research. Strong analytical and organizational skills. The ability to communicate complex findings in plain language. Experience working with sensitive, confidential, or trauma-related information. The ability to work independently while collaborating with a multidisciplinary team. Strong attention to accuracy, documentation, confidentiality, and ethical research practices. Preferred Qualifications Preference may be given to candidates with experience in one or more of the following areas: Truth and reconciliation processes. Civil rights, human rights, racial justice, disability justice, Indigenous rights, or transitional justice. Government accountability, public policy, institutional harm, or historical research. Community-based, participatory, or trauma-informed research. Analysis of testimony, oral histories, survivor narratives, public records, or administrative data. Research involving multiple communities, institutions, systems, or forms of harm. Creating visual and plain-language summaries of research findings. Supporting public reports, commissions, investigations, or government bodies. Timeline The anticipated contract period is: Mid-July 2026 through mid-November 2026 (onboarding process could take a week) Findings deadline: No later than September 30,2026 Note: Because of the Commission’s final report schedule, the consultant must be available to begin work promptly and complete the agreed-upon deliverables within the contract period. A detailed work plan, meeting schedule, and delivery timeline will be established at the beginning of the contract. Compensation The initial budget for this contract is up to $10,000. The final compensation and payment schedule will be based on the agreed-upon scope of work, deliverables, timeline, estimated hours, and the condition and volume of the existing data. Any work outside the final agreed-upon scope, including substantial original data collection or drafting full sections of the final report, would require separate approval and additional compensation. About the Vermont Truth and Reconciliation Commission The Vermont Truth and Reconciliation Commission was established to examine and document discrimination and harm caused or permitted by State laws and policies. Its mandate includes examining harm experienced by Native American and Indigenous individuals; individuals with physical, psychiatric, or mental disabilities and their families; Black individuals and other people of color; individuals with French Canadian, French-Indian, or mixed racial or ethnic heritage; and other communities identified by the Commission. The Commission is working to create an accurate public record of institutional, structural, and systemic discrimination in Vermont and to identify actions that may help repair past and present harm and prevent its recurrence. The Commission is committed to analysis that is careful, accessible, community-centered, and grounded in the experiences of people directly affected by State-perpetrated or State-permitted harm. How to Express Interest Interested candidates should provide: A résumé or curriculum vitae. A cover-letter with a brief description of relevant experience. A description of their experience using NVivo. An example of a qualitative or mixed-methods analysis project, when available. A brief description of their approach to reviewing an existing coding and analysis process. Their availability between mid-July and mid-November 2026. Contact information for professional references. Applications and expressions of interest will be reviewed on a rolling basis because this is an immediate hiring need.

About DripShop DripShop is a mobile social-commerce platform for trading cards and collectibles — live-stream shopping, instant pack openings, and creator-driven drops. We're growing 30–40% month over month, our buyers convert and repeat at high rates, and we're ready to put real fuel — and real rigor — behind new-user acquisition. What we need We're looking for a hands-on growth/performance marketer to own top-of-funnel acquisition and the measurement behind it. Our funnel below signup is strong: activation and repeat purchase are healthy and improving. The opportunity is twofold — (1) rebuild and scale our signup volume through paid and scalable channels, and (2) stand up clean attribution so we actually know which channels and creators drive new buyers. This is a senior, build-from-scratch role for someone who can run campaigns and trust their own numbers — wired more like an analyst or engineer than a brand marketer. Not a strategy-deck role. DripShop is a mobile-first app, so this is squarely about driving app installs and first purchases across iOS and Android. Scope of work Plan, launch, and optimize paid app-install and conversion campaigns (Apple Search Ads, Meta, TikTok, and other channels you recommend) across iOS and Android, managing budget to a target cost-per-new-buyer. Audit and rebuild mobile + web acquisition attribution (an MMP like AppsFlyer/Adjust, SKAdNetwork/iOS ATT, GA4, Mixpanel) so every install and signup is traceable to a source. Own app store optimization (ASO) across the App Store and Google Play — metadata, keywords, and store creative that lift install conversion. Build and maintain a weekly acquisition dashboard: spend, installs, signups, CAC, activation — by channel. Partner with our creator team to make creator/affiliate activity measurable and scalable. Run structured experiments on channels, creative, and onboarding to lift installs, signups, and first-purchase conversion. You should have 5–7 years running paid user acquisition for a consumer mobile app (iOS + Android), with real budget ownership. A prior engineering, data science, analytics, or quant role — you think in systems and reason from data, not vibes. Hands-on GA4 + Mixpanel (or similar) and fluency with SQL — you build your own funnels, pull your own data, and trust your own numbers. Deep knowledge of mobile attribution and measurement: MMPs (AppsFlyer/Adjust/Branch), SKAdNetwork, iOS ATT, deep linking, and SDK-based install tracking. Hands-on app store optimization (ASO) experience across the App Store and Google Play. A track record of lowering CAC or scaling installs efficiently — bring numbers. Who you are Self-starter / entrepreneurial. You operate like a founder: you scope your own work, own the outcome, and don't wait to be told what to measure. AI-native. You use LLMs and automation to do the work of a larger team — analyzing data, generating and iterating creative, and automating reporting. Analytically rigorous. You design clean experiments, separate signal from noise, and can defend every number you put on a dashboard. Nice to have Social commerce, live shopping, collectibles/TCG, or creator/influencer-driven growth experience. CRM/lifecycle familiarity (Customer.io, ManyChat, Klaviyo) — secondary, but useful. To apply, include in your proposal A consumer acquisition program you ran — channel, budget, and the result (CAC, signups, or ROAS). How you'd approach fixing attribution when most signups currently show up as "direct/unknown." Your relevant tool stack (ad platforms + analytics + attribution).

Freedonia Strategic Insights is a trusted provider of custom market intelligence and strategic research for leading companies across a wide range of industries. Backed by decades of experience and a reputation for objective, high-quality analysis, our team delivers actionable insights through proprietary research methodologies, demand modeling, forecasting, competitive intelligence, and value chain analysis. We are currently building a network of experienced contract research analyst contractors to support ongoing and upcoming custom research and demand analysis projects across multiple industrial and B2B sectors. This role is ideal for analytical professionals with specialized industry expertise who are interested in flexible, project-based work with the potential for recurring assignments. Preferred Industry Experience We are particularly interested in candidates with experience in one or more of the following sectors: - Building & Construction Materials (examples: roofing, pipe, insulation, countertops, flooring, siding) · Energy (examples: batteries, renewable energy, wind power, energy storage technologies) · Industrial Equipment & Machinery (examples: power tools, agricultural equipment, industrial machinery, manufacturing equipment) · Packaging (examples: flexible packaging, disposables, paper & pulp, industrial/B2B packaging) Key Responsibilities Develop and maintain demand and supply forecasting models to support strategic decision-making Conduct market sizing, segmentation, competitive intelligence, and value chain analyses Analyze industry trends, economic indicators, and customer demand patterns Build and manage advanced Excel-based models, datasets, and reporting tools Support custom research projects through quantitative and qualitative analysis Collaborate with research teams to deliver actionable client insights Present findings and recommendations clearly to internal and external stakeholders and project teams Qualifications Bachelor’s degree in Economics, Finance, Business, Statistics, Market Research, or a related analytical field required Minimum of 3 years of experience in market research, forecasting, demand analysis, strategic analysis, or related consulting/research roles Strong experience with market sizing, competitive intelligence, and value chain analysis preferred Demonstrated expertise in economic/financial modeling and forecasting methodologies Advanced proficiency in Microsoft Excel, including financial and analytical modeling Strong logical reasoning, analytical thinking, and problem-solving capabilities Excellent written and verbal communication skills Prior experience within one or more target industry sectors strongly preferred B2B market research experience preferred Position Type Contract/freelance role Flexible remote work arrangement may be available Project-based assignments with the opportunity for ongoing collaboration Compensation is dependent on experience, industry specialization, and project scope Candidates with deep subject matter expertise may qualify for higher compensation ranges

We are seeking a skilled freelancer to conduct a comprehensive competitive landscape analysis for our company. The ideal candidate will have experience in market research and analysis, with the ability to identify key competitors and assess market trends. The analysis should provide insights into competitor strengths, weaknesses, and strategies, helping us refine our business approach. If you have a strong background in competitive analysis and market research, we would love to hear from you.