Jobs at Weekday, Inc.

Build and scale an AI-powered full‑stack editor and experimentation platform. Implement backend services, ship intuitive React UIs, integrate APIs and AI models, collaborate with founders and customers, and own end-to-end features in a fast-paced startup.

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.

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; 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.

Lead AI-enabled financial planning and strategic analysis, build data-backed business cases, refine unit economics, deliver executive-level insights, integrate ML into FP&A, and track KPIs to drive profitability and strategic decisions.

PhD-level physicists will design challenging graduate-level physics problems and contribute high-quality datasets to improve AI model reasoning, ensuring scientific rigor and consistency while collaborating remotely and asynchronously.

PhD-trained STEM experts will design challenging domain-specific problems and datasets to improve large language model reasoning and accuracy. Work remotely, collaborate asynchronously, review and refine technical content, and adhere to structured guidelines. Ongoing independent-contractor role, 15–20 hours/week (up to 40), paid weekly.

Review and edit tasks created by professionals across industries to improve clarity, structure, and alignment with quality standards. Provide actionable feedback, apply consulting frameworks, and ensure consistency with project guidelines. Work asynchronously as an independent contractor for a remote AI research project.

Serve as a domain expert in electrical engineering to identify and close knowledge gaps in LLMs. Collaborate with research teams to design and evaluate complex problems, provide detailed written feedback, and improve AI model performance. Remote, contractor role with weekly pay and flexible hours.

Review, validate, and refine AI-generated accounting analyses, audit reports, and financial statements for compliance with GAAP/IFRS. Tag content, provide structured feedback on accuracy and clarity, and support benchmarking of AI model performance in financial domains.

Develop and enhance scalable game systems using O3DE with C++ and Lua. Implement high-fidelity 3D rendering pipelines, customize engine modules for multiplayer environments, profile and resolve performance issues, collaborate with cross-disciplinary teams, produce technical documentation, participate in code reviews, and contribute to agile development practices.

Support AI training initiatives by developing and refining financial models, translating market research and due diligence into structured AI training datasets, and partnering with stakeholders to convert complex financial concepts into training inputs. Evaluate and improve AI-generated financial analyses, identify gaps in modeling or valuation assumptions, and contribute strategic insights to enhance AI-powered private equity tools in a fully remote environment.

Design, implement, and optimize AI-driven solutions across the claims lifecycle (intake, investigation, adjudication). Build ML models for data extraction, fraud detection, reserve setting, subrogation, and adjudication decision engines. Collaborate with underwriting, fraud, legal, and IT to integrate models into operations and improve efficiency, accuracy, and compliance.

Develop, extend, and optimize game systems and rendering pipelines using O3DE with C++ and Lua. Integrate and customize engine modules for multiplayer environments, diagnose performance across hardware, collaborate with artists and designers, produce technical documentation, participate in code reviews, and contribute to agile development workflows.

Create and curate high-quality graphic design datasets and training materials for AI systems. Collaborate with engineers to evaluate and refine AI-generated visuals, document design processes and style guides, and translate design concepts into actionable training data. Stay current with design trends and communicate feedback to cross-functional teams.

Lead architecture and build large-scale, low-latency real-time data and streaming systems for a security platform. Design distributed streaming infrastructure with Apache Flink, write production Java and Rust code, optimize scalability and reliability, mentor engineers, and drive long-term technical strategy in collaboration with product and security stakeholders.

Evaluate AI-generated legal responses for accuracy and completeness, design prompts and scenarios to test legal reasoning, assess outputs against legal standards, provide actionable feedback, and support work across contracts, litigation, corporate law, regulatory analysis, compliance, and legal research.

Create high-fidelity digital pharmaceutical R&D workspaces and multi-step workflow tasks (protocols, IND/NDA/CMC drafts, pharmacology reports, biomarker analyses, etc.). Integrate common industry platforms, validate realism with peer experts, collaborate asynchronously to refine task designs and evaluation frameworks, and contribute to benchmarking AI systems for regulated research settings.

Design realistic civil litigation scenarios, draft attorney-level gold-standard responses, evaluate and grade AI-generated legal outputs using structured rubrics, provide detailed written feedback, and participate in onboarding and calibration. Minimum 20 hours/week; remote work across US, Canada, or UK.