Top Tech Jobs & Startup Jobs in Austin, TX

Create realistic business scenarios and complex Excel, PowerPoint, and Word deliverables; interact with language models; evaluate AI-generated responses; and document detailed, actionable feedback. The role applies Fortune 500 business experience across financial modeling, executive presentations, strategic proposals, reporting, and data analysis while collaborating asynchronously with project coordinators.

Reconstruct executive sales, revenue, and go-to-market presentations in Microsoft PowerPoint. Improve visual storytelling, message hierarchy, data visualization, content clarity, and executive-ready aesthetics while preserving effective elements. Document the rationale for every change and omission, assess slide effectiveness, and complete project-based sprint assignments. The role requires strong sales and GTM expertise, presentation design ability, critical thinking, attention to detail, and written communication.

Remote contract CAD expert role supporting AI training for manufacturing workflows. Responsibilities include reviewing and refining AI-generated manufacturing content, providing CAD, CAM, and CNC process feedback, and developing evaluation rubrics. Candidates need hands-on CAD experience, strong communication skills, and coding-agent experience with Python. Work is flexible at 15–20 hours per week, with output-based compensation and immediate availability preferred.

Uses Bloomberg Terminal and related tools to complete, analyze, and document realistic financial-market workflows. Researches companies, securities, markets, and portfolios; interprets financial data; identifies inaccuracies; creates realistic finance scenarios; explains workflow steps; and provides clear written feedback independently and asynchronously.

Designs vulnerable and secure application fixtures addressing OWASP LLM risks, creates deterministic tests and security manifests, develops answer keys for AI and scanner evaluation, and improves AppSec assessment pipelines. The role also evaluates traditional and agent-based security architectures, documents technical findings, and collaborates on peer reviews and actionable security recommendations.

Analyze psychological case studies, create culturally sensitive Malay and English materials, evaluate AI-generated content for accuracy and ethics, and document findings. Collaborate with interdisciplinary teams to improve AI training data and ensure psychological concepts are accurately represented across languages and cultural contexts.

Create challenging coding tasks for AI systems, implement deterministic solution verifiers, and contribute backend expertise across feature development, bug fixing, refactoring, performance optimization, testing, and security reviews. The role requires strong programming and software engineering skills, with cybersecurity experience in secure coding, application security, penetration testing, vulnerability assessment, or security-focused code reviews preferred.

Build and secure scalable backend services and APIs while debugging, optimizing performance, implementing features, refactoring codebases, and conducting security reviews and penetration testing. The role also involves automated testing, code review, vulnerability assessment, and contributing domain expertise to training next-generation AI systems.

Design, build, and maintain scalable big data pipelines, architectures, distributed databases, and storage systems. Use Python and frameworks such as Hadoop, Spark, or Flink for data integration, transformation, and processing. Ensure system performance, availability, security, governance, and data quality while collaborating with cross-functional teams and documenting technical solutions.

Develop and maintain scalable Java backend systems using Spring Boot and microservices architecture. Collaborate with customer teams, review specifications, write clean code, participate in code reviews, document solutions, and troubleshoot and optimize backend performance, reliability, and security. The role also contributes technical expertise to training next-generation AI systems, though prior AI experience is not required.