Top Artificial Intelligence Jobs

Freelance writers summarize recent machine learning research papers for The Batch, an AI newsletter reaching over two million professionals and students. Writers must understand machine learning technology, explain complex research clearly in an established format, and communicate effectively in English. The role is intended for graduate students and postdocs in machine learning, with negotiable freelance compensation.

General application for future opportunities at a remote open-source consulting company. Potential work includes software engineering, scientific computing, AI/ML, data engineering, DevOps, developer tooling, frontend development, technical writing, design, and community engagement. Quansight welcomes professional, research, educational, personal-project, and open-source experience, including early-career and internship interest.

Own product requirements and development for robot data collection systems. Lead hands-on prototyping, benchmark cameras and other components, and drive hardware/software integration across sensing, calibration, and synchronization. Track technical issues, validation, schedules, and delivery while collaborating with Research, Data, engineering, manufacturing partners, and global factories. The role requires strong hardware and software adaptability, bilingual Mandarin-English communication, and occasional travel.

Build and own production data pipelines, warehouse models, metric definitions, testing, monitoring, reconciliation, and alerting. Partner with Finance and other teams to create reliable datasets for usage, revenue, costs, margins, reporting, self-service analysis, and AI-assisted querying. Improve source data quality, investigate discrepancies, and establish a maintainable data foundation.

Own high-priority founder-led projects across product, sales, hiring, and operations. Responsibilities include launching new initiatives from scratch, supporting client and market activities, building prototypes, organizing events, and taking projects end-to-end with high autonomy. The role is onsite in San Francisco and may develop into a full-time position in Deployment, Growth, or Special Projects.

Generate qualified pipeline through account research, cold calling, personalized email, LinkedIn outreach, and social selling. Qualify inbound and outbound leads, conduct discovery calls, book meetings for account executives, and provide smooth handoffs. Own activity KPIs and pipeline targets while collaborating with Sales and Marketing to improve messaging and outreach. Maintain product and industry knowledge in a fast-moving AI startup environment.

Administer and optimize IBM Db2 for z/OS production databases, including design, performance tuning, security, backup and recovery, utilities, upgrades, and disaster recovery. Support SQL Server, Azure SQL Managed Instance, data movement pipelines, DDF/DRDA connectivity, and ITIL operations. Maintain documentation, runbooks, audit support, and recovery procedures while mentoring developers and cross-training backup administrators. Participate in on-call rotations and collaborate across mainframe, data engineering, warehouse, application, and systems programming teams.

Identify customer workflows suitable for automation, recommend and integrate AI agents with engineering partners, and serve as the primary customer contact. The role coordinates training, delivers demos and results to strategic audiences, and feeds customer insights into product strategy. Candidates should have experience selling and implementing complex IT solutions, backend programming ability, strong communication and problem-solving skills, and willingness to travel for deployments and customer engagements.

Develop and test embedded firmware for active implantable brain-computer interface medical devices across the product lifecycle. Collaborate with electrical engineers on board bring-up, product validation, debugging, and hardware-in-the-loop testing. Write unit tests and documentation, use laboratory equipment and debugging tools, and contribute to safety-critical software development and maintenance.

Build and deploy full-stack software for military logistics customers. Own features from concept through deployment, integrate with existing systems, improve reliability and performance, collaborate across engineering and product teams, and work directly with end users. The role involves customer-facing engineering, operational problem solving, cloud and edge deployments, and approximately 25% travel for deployments, field testing, and support.