Design and validate realistic, intentionally broken Linux and containerized environments for AI troubleshooting tasks, creating reference solutions and automated checks that test practical infrastructure debugging and recovery.
Weekday AI jobs
AI sourcing agent for outbound recruiting that contacts passive candidates through email, WhatsApp, and phone.
296 open roles at Weekday AI
Deploy, integrate, upgrade, and troubleshoot 4G and 5G Packet Core solutions across bare-metal, virtualized, and cloud-native environments, ensuring reliable network performance and customer-aligned implementations.
Analyze customer journeys, feedback, and product interactions to uncover friction and customer needs, then communicate evidence-based recommendations and measure improvements across digital experiences.
Administer and optimize Adobe Workfront, implement automation solutions, and support teams in streamlining project management processes and improving platform operations.
Design and optimize paid acquisition campaigns, especially on Meta, translating performance data into actionable strategies while guiding clients and teams to improve ROI and customer acquisition.
Source and assess creative professionals across design, UX/UI, copywriting, and video, building organized talent pipelines and connecting qualified candidates with full-time, freelance, and contract opportunities.
Design and guide scalable, secure, cost-efficient Databricks Lakehouse solutions, translating client needs into architectures, proposals, effort and cloud-cost estimates, and implementation guidance for engineering teams.
Create polished, production-ready illustrations across diverse styles, translating creative briefs and visual references into compelling artwork while maintaining quality, consistency, and deadlines.
Evaluate and compare AI chatbot responses against structured criteria, document accurate assessments, identify recurring quality issues, and support consistent evaluation workflows and project deliverables.
Evaluate and compare AI chatbot responses against defined quality criteria, document evidence-based judgments, identify recurring issues, and communicate findings to project teams.
Scientific Computing / Research Engineering Expert - Earth Sciences
Develop terminal-based Earth science benchmark tasks by preparing scientific datasets, building reproducible computational workflows, creating reference solutions, and validating outputs for AI evaluation.
Design coding tasks, reference solutions, and deterministic tests to evaluate AI-generated software, applying senior backend engineering expertise to assess correctness, reliability, maintainability, and performance.
Apply U.S. legal expertise to analyze complex scenarios, review AI-generated legal work for accuracy and sound reasoning, and provide structured feedback that improves the quality and reliability of AI outputs.
Business Analyst - US - Educational Raters - Gemini
Evaluate educational conversations and AI-generated responses by researching and fact-checking information, assessing accuracy and clarity, and producing structured annotations and feedback to improve AI systems.
Design rigorous data science and machine learning tasks, build reproducible environments and verified solutions, and evaluate AI coding systems through robust testing, debugging, and performance analysis.
Design reproducible coding tasks, reference solutions, and automated evaluations that test AI systems on real-world software engineering challenges, including debugging, feature development, refactoring, and optimization.
Design and validate engineering simulation challenges for AI models and coding agents, build automated grading workflows, and analyze model failures across electrical, mechanical, and aerospace engineering.
Evaluate AI-generated code and technical reasoning, create programming problems and reference solutions, and develop tests and feedback that improve the quality and reliability of AI systems.
A junior transactional attorney evaluates AI-generated contract analysis, conducts simulated negotiations and redlines, and provides structured legal feedback to improve AI contract review systems.
Evaluate AI-generated data science and quantitative solutions, create prompts, datasets, and reference answers, and provide rigorous feedback to improve model accuracy and reliability.
Develop reproducible, terminal-based scientific computing benchmarks by creating physical-science tasks, computational environments, reference solutions, automated tests, and objective grading criteria.
Pod lead - Scientific Computing / Research Engineering Expert - Earth Sciences
Lead development and quality review of terminal-based scientific computing tasks, applying Earth sciences expertise and research engineering skills to create realistic, challenging, and verifiable AI training and evaluation workflows.
Develop and evaluate production-grade full-stack applications, solving complex engineering problems, debugging across the stack, translating code between languages, and reviewing implementations for quality, security, and performance.
Apply inpatient coding expertise to review complex clinical records, assign and validate ICD-10-CM/PCS codes and MS-DRG classifications, and annotate clinical data for AI training and evaluation.
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