1,081 total jobs
178 new jobs this week
Drive innovation in multi-modal reinforcement learning to enhance intelligent systems, optimizing decision-making across text, images, and audio for real-world challenges.
Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors and tool use to enhance intelligence and autonomous capabilities.
The Chief Engineer is responsible for overseeing engine room operations, ensuring the safe and efficient functioning of all machinery and leading the engine crew.
Own and scale the production AI intelligence layer, from agent orchestration and multi-provider inference to retrieval, evaluation, realtime voice, and customer-facing product features.
Leads technical transfer and radiopharmaceutical manufacturing activities, supports CDMO partners and batch operations, and drives process improvement, quality compliance, investigations, and regulatory readiness.
As a Machine Learning Scientist, you will advance speech synthesis and understanding by designing and evaluating models while collaborating with linguists to enhance TTS frontend behavior.
Lead complex enterprise AI deployments from discovery through production and handoff, architect multi-agent solutions, create reusable deployment resources, and mentor engineers and solutions partners.
Design and implement production-ready AI agents and enterprise automations using Claude, building multi-agent workflows, integrations, evaluation suites, and reusable frameworks.
You'll collaborate with model researchers and engineers to ensure high-quality data production at petabyte scale, focusing on data quality metrics and automated assessment algorithms.
Mentor learners in Agentic AI through individual project guidance, technical deep-dive presentations, and group Q&A, translating agent workflows and concepts into clear instruction and practical support.
As an AI Automation Specialist, you will build and deploy automation solutions for clients, transforming vague requirements into effective processes while working independently.
Design and build reliable, tool-using AI agents that plan, retrieve, act, and verify, integrating APIs and retrieval systems with robust execution, safety guardrails, and observability.
Develop and improve AI-powered phone and chat agents for customer inquiries and reservations, integrating company data, CRM and booking systems, and automation workflows while supporting marketing and web initiatives.
As a Senior Supply Chain Security Engineer, you will manage and enhance security-hardened content across packages, images, and Helm charts, ensuring quality and compliance in production environments.
Design and operate reliable internal automations and AI-powered agents, orchestrating APIs, webhooks, and LLMs with n8n while improving security, observability, reliability, latency, and cost.
As a Backend AI & Data Pipeline Engineer, you will design and maintain scalable data processing infrastructures that enhance Yuzee's intelligent course and job matching platform.
Guide learners through AI and machine learning coursework with personalized mentoring, technical deep dives, project walkthroughs, and group Q&A sessions, helping them build understanding and apply concepts.
The AI Security Expert protects AI systems from emerging threats by ensuring security, compliance, and resilience throughout the AI lifecycle.
As a Staff Forward Deployed Engineer, you will operationalize AI-native systems at scale, partnering with strategic customers to optimize and deploy production AI workloads on DigitalOcean's cloud.
As a Full-Stack AI Engineer, you will build production AI systems using Claude Code, leveraging your full-stack engineering skills to create impactful AI-powered products and automations.
This role involves leading the development and implementation of AI and technology solutions to enhance organizational impact and efficiency across Teach For All's global network.
As a Senior AI Application Developer, you will design, develop, and deploy AI-powered applications using Microsoft Azure or AWS, driving real business solutions.
You will lead the development and management of an AI-native internal platform, overseeing infrastructure, internal tools, and AI workflows across multiple ventures.
Lead complex enterprise AI deployments from discovery through production and handoff, architect multi-agent solutions, create reusable deployment resources, and mentor engineers and solutions teams.
Those that list pay offer a median of $190,000 a year. The middle half pay between $165,000 and $225,000.
| Level | Range | Middle half · median |
|---|---|---|
| Mid-level | $139K–$218K · $184K | |
| Senior | $167K–$222K · $190K | |
| Lead | $194K–$245K · $220K |
30% of these listings post pay. From 125 listings with pay in USD, at most three per company.
5% of these listings are open worldwide and 2% to a whole region, like Europe or Latin America. The other 93% hire in specific countries:
From 927 listings that state where they hire.
What hiring companies here ask for far more often than across all remote jobs, so it is worth putting front and center on your resume.
Share of the 431 companies hiring here that ask for each skill, and how many times as often as across all remote jobs. Soft skills like communication are left out.
Half stop taking applications within 34 days of being posted, and 1 in 4 within 12 days. Applying in the first week counts.
12 days
1 in 4 closed by then
34 days
Half closed by then
76 days
3 in 4 closed by then
From 530 listings that closed in the last 120 days, at most three per company.
