Jobs at Weekday, Inc.

Build and maintain PySpark-based ETL pipelines and large-scale data workflows for finance. Write and optimize complex SQL, ensure data quality, collaborate with finance and engineering stakeholders, and document data models and processes to improve reliability and performance.

Manage content planning, creation, and publishing across social platforms; design social campaigns; coordinate freelancers; upload event videos; create and send 14 weekly email newsletters in Emma; design templates and graphics; craft targeted copy and subject lines; perform A/B tests and refresh branding for the merged organization.

Support enterprise strategic planning and transformation by developing multi-year operating priorities, financial and scenario models, dashboards, and executive presentations. Drive cross-functional collaboration, change management, and initiative tracking using Salesforce, Tableau, and spreadsheets to turn data into leadership recommendations.

Build and deploy AI-driven web applications across frontend and backend. Design scalable backend systems, responsive TypeScript frontends, ETL pipelines, and integrate ML models into production. Work with cloud platforms, containerization, APIs, automated testing, and cross-functional teams to deliver robust, high-performance solutions.

Manage content planning, creation, and publishing across social platforms; run social campaigns; upload event videos; design and deploy 1–4 weekly email newsletters using Emma; create graphics and multimedia; coordinate freelancers; conduct A/B testing and update branding and templates.

Own the organization’s digital reputation across search engines, media, online platforms, and customer communities. Lead SEO, GEO, content strategy, digital PR, reputation monitoring, customer advocacy, and crisis-response initiatives. Improve page-one visibility, secure media placements, manage brand narratives, identify reputation risks, and track performance metrics. Collaborate with internal teams and senior leadership while adapting strategies to changing search algorithms, AI discovery, and digital trends.

Reviews securities and wealth-management compliance work products, including periodic client reviews, Reg BI and DOL rollover attestations, marketing communications, and structured-product or alternative-investment supervision. Identifies deficiencies, cites applicable controls and regulations, drafts audit-trail entries and reviewer dispositions, and evaluates compliance with FINRA, SEC, suitability, and supervisory requirements.

Author original executable scientific computing problems for AI evaluation benchmarks. Responsibilities include sourcing research material or datasets, writing scientific prompts, defining grading criteria, running code, and calibrating tasks against frontier models. The role requires deep expertise in at least two mathematical computing subdomains and proficiency with Python or R, GitHub, and Docker.

Develop regulatory law evaluation scenarios, reference compliance memoranda, regulatory filings, enforcement responses, and expert rubrics for AI systems. Work spans US and international regulatory frameworks, including financial services, healthcare and FDA, antitrust, privacy and cybersecurity, environmental, and energy regulation. Apply regulatory interpretation, compliance risk assessment, agency interaction, enforcement strategy, and rulemaking expertise.

Capture and evaluate natural voice interactions with an AI assistant in Brazilian Portuguese. Complete everyday tasks by voice on a Mac, transcribe and clean spoken queries, rate AI responses, record task data in tracking sheets, and upload supporting recordings. The four-week project requires native or near-native Brazilian Portuguese, English comprehension, familiarity with productivity apps, and an Apple Silicon Mac running macOS Sequoia 15.0 or newer.

Create realistic FP&A and treasury scenarios, including budgets, forecasts, variance analysis, cash-flow forecasts, cash positioning, bank administration, FX revaluation, debt compliance, and financial models. Review AI-generated outputs, assess assumptions, provide written feedback, and collaborate asynchronously with researchers.

Develops complex civil litigation and dispute-resolution evaluation tasks for AI systems. Responsibilities include creating scenarios, reference pleadings, discovery responses, motions, trial memoranda, and evaluation rubrics across commercial, class action, appellate, discovery, evidence, trial, settlement, and arbitration matters. The role requires applying US or international procedural and evidentiary rules, litigation technology, and experienced senior-litigator judgment.

Creates realistic tax compliance, provision, planning, notice-response, and controversy scenarios from professional experience. Reviews AI-generated tax outputs for technical accuracy, provides written feedback, and collaborates asynchronously with an AI research team. The role covers corporate, individual, partnership, SALT, and international tax specialties.

Performs investment operations and fund-accounting exercises, including ledger-to-statement reconciliations, NAV variance attribution, trade-break investigations, corporate-action processing, payment exception handling, and merchant or vendor descriptor matching. Produces adjusting entries, variance commentary, root-cause narratives, and other analyst deliverables. The role is contract, remote, US-based, and approximately 15 hours per week.

Creates M&A, due diligence, valuation, purchase accounting, and LBO scenarios for AI training data. Reviews AI-generated advisory analyses for accuracy, assumptions, and professional judgment, then provides written feedback to improve performance. Requires transaction advisory, corporate development, investment banking, or valuation experience; hands-on QoE, valuation, or deal-model ownership; strong writing; and a finance, accounting, or related degree. CPA, ASA, ABV, or CFA credentials are advantageous.

Design insurance policy-processing scenarios, create operational reference materials, evaluate AI-generated responses, and provide feedback on policy lifecycle accuracy. The role covers intake, binding, issuance, endorsements, billing, renewals, cancellations, reinstatements, documentation, quality control, and servicing workflows. Candidates need at least two years of policy administration, underwriting operations, insurance servicing, or premium operations experience, along with strong process discipline and knowledge of policy administration systems.

Author original executable scientific computing problems for AI evaluation benchmarks. Responsibilities include sourcing research material or designing scenarios, writing scientific prompts, defining grading criteria, and calibrating tasks against frontier AI models. Requires deep expertise in at least two physics subdomains and scientific programming proficiency. Work is part-time, fully remote, and conducted as an independent contractor for six weeks.

Contribute subject matter expertise to a project for a leading AI laboratory by creating challenging, high-quality domain problems and data to improve large language models. Applicants should have a PhD, advanced degree, or equivalent industry experience in a listed STEM domain, along with strong attention to detail and excellent written and verbal communication skills. The role includes a brief interview, task, and paid onboarding.

Reviews AI-generated documents, spreadsheets, and slide decks for accuracy, rigor, presentation quality, and domain-specific compliance. Evaluates outputs using quality rubrics, identifies factual and aesthetic errors, and provides structured written feedback. The role requires deep expertise in data quality and CRM operations, strong English fluency, and proficiency with Microsoft Office and Google Workspace. It is a fully remote, flexible independent-contractor engagement.

Capture and evaluate natural Hindi voice interactions with an AI assistant using a Mac. Complete voice-based tasks across productivity applications, transcribe and clean spoken queries, rate AI responses, maintain structured task logs, and upload recordings. Native or near-native Hindi proficiency, English comprehension, detailed data entry, and quality-review skills are required. The project lasts four weeks and begins immediately.